Advances in instrumentation and methodology

The development of mineralogical crystallography has always been shaped by the instruments through which nature is interrogated. Each technological advance has not merely improved the precision of experimental data but has expanded the very questions that can be asked, allowing scientists to probe deeper into the atomic architecture of minerals, capture dynamic processes, and explore conditions far beyond the conventional laboratory. The twenty-first century promises an era in which instrumentation, integrated with mineral informatics and computational advances, will redefine the limits of observable structure and mineral behaviour.

A key example is the development of X-ray free-electron lasers (XFELs), which have led to a paradigm shift in the study of crystallography (e.g. Huang et al., Reference Huang, Deng, Liu, Wang and Zhao2021). Traditional X-ray diffraction captures static snapshots of atomic arrangements, requiring crystals of sufficient size and stability. XFELs, by contrast, deliver intense, femtosecond-scale pulses capable of probing the dynamics of atomic lattices in real time. This temporal resolution allows the observation of structural phase transitions and reaction pathways as they occur, offering unprecedented insight into processes previously accessible only through inference.

For mineralogical studies, XFELs enable the exploration of metastable phases, high-temperature transitions, and rapid crystallization events. Dynamic studies of silicates under shock, the formation of high-pressure polymorphs, or the interaction of aqueous fluids and their solutes with crystal surfaces can now be imaged directly, bridging the gap between theoretical predictions and natural processes. Moreover, the ability to study sub-micrometre or even nanocrystalline samples expands the range of accessible minerals, including rare extraterrestrial phases and very fine-grained synthetic analogues.

Understanding the behaviour of minerals under extreme pressure is central to both Earth and planetary sciences. Diamond anvil cells (DACs), coupled with synchrotron radiation, have revolutionized high-pressure crystallography over the past 30 years. These devices compress small mineral samples up to pressures exceeding hundreds of gigapascals, simulating conditions found deep in the Earth and other planetary interiors, as well as impact events (e.g. Chandler et al., Reference Chandler, Bernier, Diamond, Kunz and Wenk2021).

Recent innovations in DAC methodology, including the integration of laser heating and dynamic compression with in situ diffraction and spectroscopy, permit simultaneous measurements of structural, thermal and electronic responses. These techniques reveal not only the stability fields of known mineral phases but also the emergence of novel structures under extreme conditions. For example, high-pressure polymorphs of silica, perovskite-structured oxides, and exotic silicate-carbonate compounds have been synthesized and characterized, providing key constraints on geophysical models of mantle composition and dynamics.

Electron microscopy has long complemented X-ray diffraction, offering high-resolution imaging and diffraction capabilities for materials too small or imperfect for conventional X-ray study. Modern transmission electron microscopy (TEM), scanning TEM (STEM), and electron tomography now enable three-dimensional reconstruction of atomic arrangements, revealing not only crystal lattices but also defects, dislocations, and grain boundaries with sub-Å precision.

The advent of 3D electron crystallography has extended the capacity to solve structures from nanocrystals, previously inaccessible to conventional diffraction (e.g. Gemmi et al., Reference Gemmi, Mugnaioli, Gorelik, Kolb, Palatinus, Boullay, Hovmöller and Abrahams2019). These methods allow the study of complex silicates, clays, and fine-grained extraterrestrial minerals. In particular, precession electron diffraction and automated diffraction tomography have dramatically increased the throughput of structural determination, making it possible to catalogue nanoscale mineral diversity systematically.

Crystallography has increasingly embraced conditions that preserve natural or reactive states of minerals. Cryo-electron microscopy, adapted from biological applications, allows the study of hydration-sensitive or metastable phases by rapidly freezing samples and minimizing radiation damage. Environmental TEM and X-ray microscopy enable observations under controlled gas, liquid, or thermal conditions, capturing dynamic interactions between minerals and their surroundings.

Advances in surface structural analysis have been made through instrumentation developments, including Auger electron spectroscopy, atomic force microscopy, small-angle X-ray scattering, secondary electron imaging, ion scattering spectroscopy, and many more. These varied techniques reveal the complexities of mineral surfaces, including irregular topology, structural relaxation, and a range of ionic and molecular interactions relevant to geological processes.

Surface analytical techniques are particularly transformative for studies of mineral–water and mineral–molecule interactions, crystal growth and the development of crystal forms, dissolution mechanisms, and biomineralization. By observing these processes in situ, scientists can link microscopic mechanisms to macroscopic phenomena such as weathering, sediment formation, or biomineral evolution, providing a mechanistic foundation for predictive models of mineral behaviour in natural environments. Chemical reactions at crystalline surfaces are also a key focus of origins of life models, where minerals have been invoked as reactants, catalysts, templates, and protective environments (Cleaves et al., Reference Cleaves, Scott, Hill, Leszczynski, Sahai and Hazen2012).

A unifying trend across modern instrumentation is the move from static to dynamic observation. Whether through ultrafast X-ray pulses, high-pressure DAC experiments, or environmental electron microscopy, mineralogical crystallography now captures processes as they unfold in real time. This temporal dimension enables direct observation of nucleation, growth, phase transitions, and defect propagation, thus expanding our understanding of mineral genesis and transformation.

Time-resolved studies also allow the testing of theoretical predictions under realistic conditions, bridging the gap between computational simulations and experimental reality. For example, the kinetics of polymorphic transformations, shock-induced recrystallization, or fluid-mediated reactions can now be correlated quantitatively with structural evolution, providing a predictive framework for both natural and synthetic mineral systems.

The most informative modern studies often combine complementary techniques. Synchrotron-based X-ray diffraction can be integrated with electron microscopy, Raman spectroscopy, and X-ray absorption methods to provide multidimensional structural, chemical and electronic information. This multimodal approach enables a comprehensive understanding of minerals, from atomic arrangements to chemical reactivity and mechanical behaviour. For example, in the study of mantle minerals, simultaneous high-pressure X-ray diffraction and Mössbauer spectroscopy reveal both structural phases and iron oxidation states (e.g. Hamada et al., Reference Hamada, Kamada, Ohtani, Sakamaki, Mitsui, Masuda, Hirao, Ohishi and Akasaka2019). In biominerals, the combination of electron tomography, X-ray microanalysis, and spectroscopy allows the correlation of hierarchical organization with compositional gradients (Wei et al., Reference Wei, Pan, Ping, Yang, Wang, Wang and Fu2023). Such integrated methodologies exemplify the contemporary spirit of mineralogical crystallography: structure, composition and dynamics are inseparable dimensions of unified scientific investigation.

As these tools become more sophisticated, their use in concert with computational modelling will accelerate discovery, allowing scientists to not only observe but to anticipate the existence of novel mineral phases. The combination of ultrafast probes, extreme-condition apparatus, and two- and three-dimensional imaging will enable the identification of materials with novel structures and properties, laying the foundation for new technologies in energy storage, catalysis, nanoengineering, and environmental remediation.

Computational crystallography and predictive mineralogy

The future of mineralogical crystallography is inseparable from advances in computational science. Whereas classical crystallo-graphy relied primarily on observation and deduction, contemporary approaches increasingly exploit advanced methods of data analysis and the predictive power of computation. This shift reflects both the complexity of mineral systems and the ambition to extend understanding beyond what can be observed directly in the laboratory. Computational methods, ranging from quantum mechanical simulations to machine learning algorithms, now provide the tools to explore hypothetical mineral phases, model structural dynamics, and to predict properties with a precision unattainable by experiment alone.

Ab initio approaches, particularly density functional theory (DFT), have revolutionized crystallography by allowing the prediction of atomic structures and properties from first principles. These methods calculate electronic structures, total energies, and optimized geometries based solely on fundamental physical laws, without empirical input. For mineralogical applications, DFT enables the exploration of polymorphism, phase stability, elastic constants, and vibrational properties across diverse pressure-temperature regimes. For example, the prediction of high-pressure silicate phases, critical to modelling Earth’s lower mantle, relies heavily on DFT simulations. These calculations provide insights into the stability of perovskite and post-perovskite structures, their equations of state, and the effects of compositional variations. Similarly, DFT has elucidated the energetics of defect formation, cation substitutions, disorder, and surface topologies in complex oxides, enhancing our understanding of mineral behaviour under a wide range of geological conditions from crust to core.

While DFT provides static, equilibrium structures, molecular dynamics (MD) simulations allow the study of atomic motion over time. By numerically integrating Newtonian equations of motion for thousands to millions of atoms, MD captures the dynamic evolution of crystals under varying thermal, mechanical, or chemical conditions.

This capability has profound implications for mineralogical crystallography. MD simulations reveal mechanisms of nucleation, growth, and phase transitions at the atomic scale. They elucidate defect migration, dislocation motion, and diffusion pathways that determine mechanical, thermal, and transport properties. In biominerals, MD models capture interactions between organic matrices and mineral lattices, explaining hierarchical organization and mechanical resilience. In addition, MD simulations of mineral surface structures and their interactions with fluids are key to understanding varied processes, including weathering, adsorption, epitaxial growth, and passivation. Thus, by linking atomic dynamics to macroscopic properties, MD bridges fundamental crystallography with applied mineral science.

The recent integration of machine learning (ML) into crystallography (Billinge and Proffen, Reference Billinge and Proffen2024) marks a transformative shift. ML algorithms can detect patterns in large structural datasets to classify minerals, estimate stability fields, and predict previously unknown crystal structures (Liu et al., Reference Liu, Tao, Hsu, Du and Billinge2019). By training models on known crystal structures, ML can identify quickly candidates for synthesis or natural occurrence, prioritizing experiments and guiding exploration. Generative models, including neural networks, can propose entirely novel lattices with desired symmetries, compositions, or electronic properties, effectively turning crystallography into a design-oriented discipline (e.g. Pilania et al., Reference Pilania, Balachandran, Gubernatis and Lookman2015; Balachandran et al., Reference Balachandran, Shearman, Theiler and Lookman2017). These approaches leverage the vast body of crystallographic data accumulated over a century, transforming empirical knowledge into predictive capability.

The most powerful insights arise when computation and experiment operate synergistically. High-throughput DFT and ML predictions can guide targeted synthesis, while real-time experimental feedback refines computational models (e.g. Yang et al., Reference Yang, Liu, Zhang, Huang, Novoselov and Shen2025). For example, high-pressure DAC experiments informed by ab initio predictions can rapidly confirm the occurrence of novel polymorphs. Similarly, XFEL studies of ultrafast transitions can validate MD simulations, revealing atomic-scale mechanisms of transformation.

This iterative workflow (predict, observe, refine) embodies a new strategy for discovery in mineralogical crystallography. No longer confined to passive description, the discipline becomes predictive and explanatory, capable of anticipating structures and behaviours that have yet to be observed. The integration of computation and experiments enables exploration of materials that would otherwise remain inaccessible.

Computational methods also extend crystallography beyond Earth. Planetary mineralogy, critical for understanding the interiors of Mars, Venus and exoplanets, relies heavily on simulations due to the impossibility of direct sampling. By modelling high-pressure phases, electronic properties, and thermodynamic stability, computational crystallography predicts mineralogical compositions that inform planetary structure, geodynamics and evolution.

For instance, models of magnesium silicate post-perovskite have provided insights into the dynamics of Earth’s D’’ layer (Murakami et al., Reference Murakami, Kobayashi, Hirao and Kawadai2025), while simulations of exotic carbonate or oxide phases inform hypotheses about the interiors of carbon-rich exoplanets (Reynard and Sotin, Reference Reynard and Sotin2023). Computational predictions also guide the analysis of meteorites and interstellar dust, including a range of nanocrystalline phases, allowing the identification of novel crystalline structures with profound implications for cosmochemistry.

Despite its transformative power, computational crystallo-graphy faces significant challenges. Accurate modelling of complex, disordered, defect-rich, and H-rich systems remains computationally intensive. Capturing multiscale phenomena, from atomic lattices and crystal surfaces to macroscopic properties, requires sophisticated coupling of quantum, classical, and statistical methods. Moreover, the quality of machine learning predictions depends on the completeness and accuracy of training datasets, highlighting the continued importance of high-quality experimental data.

Yet these challenges are also opportunities. Advances in high-performance computing, ML methods, algorithmic efficiency, and automated data acquisition promise to expand the scale and accuracy of simulations. Integration of AI-driven experimental control with predictive modelling could enable discovery of new minerals, novel functional materials, and the structures of phases under experimentally inaccessible conditions. In this vision, crystallography becomes a proactive enterprise, capable of anticipating the structural possibilities of nature and guiding the design of advanced materials with precision (Bindi et al., Reference Bindi, Nespolo, Krivovichev, Chapuis and Biagioni2020).

The integration of ab initio methods, molecular dynamics, and machine learning points towards a new era of predictive mineralogical crystallography. In this vision, the discipline transcends observation and description, becoming capable of forecasting the existence, structure, and properties of minerals under arbitrary conditions. Such predictive power has profound implications for geoscience, materials design, planetary exploration, and sustainability.

Relevance of mineralogical crystallography

Mineralogical crystallography is not an isolated scientific endeavour. Its reach extends deep into the fundamental concerns of physics, chemistry, biology, and the Earth and planetary sciences, in every domain where the behaviour of condensed matter plays a role. Understanding minerals at the atomic scale is equally critical to applied science.

The future of mineralogy will increasingly intertwine with global challenges: resource management, agriculture and soil science, sustainable energy technologies, environmental remediation, mitigation of natural hazards, and myriad related technologies. By elucidating the atomic architecture of minerals, crystallography informs strategies for resource utilization, environmental stewardship, and the design of next-generation materials. At the same time, it provides the intellectual and methodological foundation for interpreting extraterrestrial matters, including meteorites, planetary interiors, and possibly the signs of alien life.

The sustainable use of Earth’s mineral resources is an urgent societal challenge. Global demand for critical metals (e.g. lithium, cobalt, rare earth elements) has surged with the expansion of high-tech industries, energy storage, and green technologies. Crystallography provides the essential framework for understanding mineral composition, stability, and extractability, directly informing mining strategies, processing methods, and environmental assessment.

By characterizing atomic structures and defect distributions, crystallography enables more efficient processing of ores, reducing waste and energy consumption. Predictive modelling of mineral behaviour under varying chemical and thermal conditions allows metallurgists to optimize leaching, separation, and recycling processes. Understanding the nature of radiation-induced structural damage will continue to be vital to the design of next-generation nuclear reactors. In addition, high-resolution structural analysis informs the development of synthetic analogues or substitutes for scarce minerals, reducing ecological impact while sustaining technological progress.

Beyond extraction, crystallography contributes to remediation and environmental management. Understanding the incorporation of contaminants within mineral structures or on minerals surfaces and documentation of the pathways of mineral-mediated geochemical reactions will inform strategies for water purification, soil stabilization and pollutant sequestration. In this way, science extends from the atomic to the societal scale, providing a mechanistic basis for environmentally responsible resource management.

Among the most pervasive and consequential elements in mineral structures, hydrogen occupies a unique position. Its presence, whether as hydroxyl groups, molecular H₂O, or structurally bound protons, exerts a profound influence on the topology, reactivity, and stability of a vast range of minerals (e.g. Hawthorne, Reference Hawthorne, Bindi and Cruciani2023). Despite its ubiquity, hydrogen has often been underrepresented in discussions of the ‘big topics’ of contemporary mineralogical crystallography. Yet its behaviour, both structurally and dynamically, is critical to understanding geochemical cycles, deep Earth processes, and the evolution of mineral stability under variable thermodynamic conditions (Welch, Reference Welch, Bindi and Cruciani2023).

Recent methodological advances have substantially enhanced our capacity to observe and quantify hydrogen in crystalline materials. The development of next-generation neutron diffractometers, with detectors of greatly improved sensitivity and efficiency, now allows the structural study of single crystals as small as 0.001 mm³, an advance that has transformed the feasibility of investigating natural hydrous minerals and high-pressure phases previously inaccessible to neutron analysis. Complementary spectroscopic methods, including synchrotron infrared and Raman mapping, provide additional constraints on hydrogen bonding geometries, proton disorder and short-range dynamics. Together, these tools now permit a far more detailed understanding of hydrogen incorporation mechanisms, even in highly complex silicate or oxide frameworks.

From a theoretical perspective, the modelling of hydrogen dynamics within mineral structures represents a frontier of computational mineralogy. While first-principles simulations have long been used to explore static hydrogen positions and energetics, progress towards truly dynamic models (capturing proton mobility, hopping mechanisms, and diffusion pathways) has accelerated only recently. Advances in ab initio molecular dynamics and machine-learned interatomic potentials are beginning to make possible realistic simulations of hydrogen transport in structurally complex phases. Such work has direct implications for both geoscience and materials research: in the mantle context, it informs our understanding of the distribution and mobility of H₂O and H in deep-Earth reservoirs, with consequences for rheology and geodynamics; in applied solid-state science, similar principles underpin the design of low-temperature protonic conductors and hydrogen-storage materials.

Crystallography is also increasingly central to the design of functional materials. Insights from mineral structures, ranging from layered silicates to complex oxides, two-dimensional electronic materials, abrasives and lubricants, and more, guide the engineering of materials with tailored electronic, optical, magnetic, or mechanical properties. For instance, battery electrodes, catalysts, superconductors, magnets, low-temperature protonic conductors, and photonic materials all derive inspiration from naturally occurring mineral structures.

The predictive tools of modern crystallography allow scientists to design structures with specific functionalities before synthesis, accelerating the transition from discovery to application. In principle, machine learning and ab initio simulations can forecast conductivity, stability, and defect tolerance, enabling the creation of materials optimized for energy storage, environmental sensing, and quantum technologies. In this sense, mineralogical crystallography becomes not only a descriptive science but also an enabling technology for industrial innovation and societal advancement.

The implications of crystallography extend far beyond Earth. Planetary science relies heavily on mineralogical understanding to interpret remote sensing data from flyby and orbiter missions, in situ measurements from landers and rovers, and complex meteorite textures and compositions. Knowledge of crystal structures informs models of planetary interiors, geodynamic processes and thermal histories. For example, the identification of high-pressure silicates in meteorites has refined models of impact events and mantle dynamics, while the study of carbonate and sulfate phases on Mars informs hypotheses about past aqueous activity and potential habitability.

The future of crystallography is inseparable from societal responsibility. As predictive tools accelerate the discovery of new materials, the potential for environmental and geopolitical consequences grows. Ethical stewardship requires that crystallographers, engineers and policymakers collaborate to ensure that resource exploitation, material design, and planetary exploration are sustainable, equitable and transparent.

Moreover, the growing role of computation and machine learning introduces considerations of data governance, reproducibility and accessibility. Open, standardized crystallographic databases and transparent predictive algorithms will be essential to maximize societal benefit while minimizing risk. In this way, the evolution of mineralogical crystallography intersects with broader debates on responsible innovation, technology governance, and global stewardship of natural and extraterrestrial resources.

The myriad societal and extraterrestrial implications of crystallography highlight the discipline’s multi-faceted role as a window into fundamental scientific and technological problems, as a tool for understanding Earth’s resources, and as a lens for interpreting the cosmos. By linking atomic-scale insights to planetary-scale processes, mineralogical crystallography integrates geoscience, materials science, environmental stewardship, and space exploration into a coherent scientific and societal framework.

Future advances will increasingly emphasize connectivity between laboratory and field studies, experimental and computational methods, terrestrial and extraterrestrial environments, and atomic scale and global societal application. In this holistic vision, crystallography becomes a science not only of minerals but also of consequences: informing sustainable development, enabling technological innovation, guiding planetary exploration, and illuminating the complex interactions between matter, life and the universe.

Vision and implications

The course of mineralogical crystallography over the next decades promises a profound transformation in both scope and impact. Once a discipline primarily concerned with cataloguing natural forms and determining atomic arrangements, crystallography is evolving into a predictive, integrative, and socially consequential science. Its future will be defined not merely by the discovery of new minerals or structures but by the ability to anticipate and design them, to understand their behaviour across extreme environments, and to apply this knowledge in the service of humanity and planetary stewardship.

Historically, mineralogical crystallography has relied on careful observation, painstaking measurement, and deductive reasoning. The iconic X-ray diffraction patterns of the early twentieth century laid the foundation for decades of structural determination. Today, the field stands at the threshold of a paradigm shift: the age of predictive mineralogy. Advances in ab initio simulations, molecular dynamics, and machine learning allow crystallographers to foresee stable structures, polymorph transitions, defect behaviours, and emergent properties before experimental confirmation.

This predictive capability transforms the nature of inquiry itself. The discipline no longer passively records what exists but actively explores what might exist, extending its reach to conditions and materials that are inaccessible to direct observation. By integrating computational power with experimental validation, crystallographers can chart a roadmap of atomic possibilities, prioritizing experimental exploration, guiding technological innovation, and uncovering the hidden richness of the mineral world.

The future of mineralogical crystallography is inherently interdisciplinary. Atomic-scale insights inform macroscopic geoscience, materials science, environmental engineering, and planetary exploration. Crystallography bridges scales, from the arrangement of individual atoms to the mechanical, optical, and electronic behaviour of bulk materials to the global-scale structure and dynamics of Earth and other worlds.

Integration is not only spatial but temporal. The study of dynamic processes (phase transitions, defect migration, biomineralization) links laboratory timescales with geological and planetary timescales. Such temporal synthesis enables understanding of mineral evolution, resource formation, and planetary differentiation, connecting crystallography to the deep history of Earth and the solar system.

Moreover, this integration extends beyond science into societal relevance. Sustainable resource management, environmental remediation, and advanced material design all rely on atomic-scale understanding. Crystallography, therefore, emerges as a discipline that simultaneously illuminates fundamental science and informs applied, ethical and technological decision-making.

Technology, particularly artificial intelligence, will play a central role in shaping the future of the field. Machine learning models trained on extensive crystallographic databases will accelerate discovery, identify patterns beyond human intuition, and propose novel structures with targeted functionalities. Generative algorithms will create hypothetical minerals and functional analogues, transforming crystallography from a descriptive to a design-oriented science.

High-throughput experimentation, automated synthesis, and real-time structural analysis will create iterative loops in which prediction, observation and refinement occur on unprecedented timescales. The synergy of computation, instrumentation, and AI ensures that crystallography will operate not only as a tool for understanding but also as an engine of innovation, capable of producing materials and insights tailored to human needs and planetary challenges.

As crystallography extends into resource management and planetary exploration, its practitioners will assume responsibilities that transcend the laboratory. The ethical use of predictive knowledge, equitable access to resources, and sustainable technological deployment must guide future work. The discipline will contribute to essential global goals such as minimizing environmental impact, supporting renewable energy technologies, and enabling responsible extraterrestrial resource utilization.

Simultaneously, the study of minerals beyond Earth, from Martian carbonates and clays to high-pressure exoplanet phases, expands our scientific and philosophical horizons. Crystallography provides a lens through which we can interpret the structure and evolution of the universe, situating human understanding within a cosmic context. In this sense, the discipline is both profoundly practical and deeply aspirational, linking the atomic to the planetary, the material to the societal, and the Earthbound to the extraterrestrial.

By combining observation, computation, and artificial intelligence, mineralogical crystallography can anticipate novel structures, elucidate dynamic processes, and guide material innovation. By connecting atomic insight to planetary-scale processes, crystallography informs sustainability, planetary stewardship, and exploration.

In this future, the field is no longer constrained by the limits of current observations or by historical methods. It becomes proactive, dynamic and anticipatory, capable of charting the full spectrum of mineralogical possibility. It retains its core dedication to rigour, measurement and structural insight while embracing the transformative tools of computation, machine learning and high-resolution experimentation.

Mineralogical crystallography, once the domain of meticulous observers and theorists, now stands at the frontier of predictive and applied science. Its potential spans the discovery of new minerals, the design of advanced materials, the sustainable management of Earth’s resources, and the exploration of extraterrestrial worlds. It promises to illuminate the behaviour of matter under extreme conditions, to reveal the mechanisms of life and biomineralization, and to contribute to ethical and responsible technological innovation.

Mineralogical crystallography and the wider solid-state community – building a relationship for the future

Over the past two decades, one of the persistent ‘political’ and intellectual challenges faced by mineralogical crystallography has been one of identity, specifically, how to distinguish its aims, methods, and conceptual framework from those of solid-state chemistry. Despite their shared concern with the structure and properties of solids, the two communities have often evolved along largely parallel tracks, with limited cross-fertilization. This separation is most evident in their published literatures: mineralogical journals emphasize natural occurrences, structural systematics, and crystallographic characterization, while solid-state chemistry journals focus on synthetic analogues, functional materials and applications. The result has been an unfortunate immiscibility between two disciplines that could, and should, be mutually enriching.

Historically, mineralogical crystallography has played a foundational role in identifying and characterizing novel structural types, many of which later proved to be central to modern materials science. The perovskite structure, first recognized in a naturally occurring mineral, is perhaps the most striking example. Today, perovskites underpin a vast range of functional materials: from ferroelectrics and high-temperature superconductors to the next generation of photovoltaic devices (e.g. Zhang et al., Reference Zhang, Zeng, Dong, Gao and Ran2025). Similarly, the mineral herbertsmithite, long regarded as an obscure specimen of limited mineralogical interest, has become a prototype for the study of frustrated quantum magnetism and spin-liquid behaviour (Pilon et al., Reference Pilon, Lui, Han, Shrekenhamer, Frenzel, Padilla, Lee and Gedik2013). In both cases, the original crystallographic discoveries within mineralogy anticipated, by decades, developments that later revolutionized condensed matter physics and solid-state chemistry. Yet, the historical record seldom reflects the mineralogical origins of these breakthroughs, with credit often defaulting to later ‘rediscoveries’ by chemists or physicists.

Recognizing this imbalance is not about assigning blame but about reaffirming the intellectual autonomy and creative contribution of mineralogical crystallography. It is essential that we make a stronger case for the field as a distinct and indispensable component of the broader solid-state sciences. Mineralogical crystallography brings unique strengths: the discovery of complex structures not yet realized synthetically and the development of crystallographic techniques that bridge atomic-scale order with macroscopic geological processes. Moreover, it provides an unparalleled laboratory for understanding self-organization, metastability, and the role of disorder, all of which are now central themes in materials design and nanoscience.

Looking forward, building a more integrated relationship between the mineralogical and solid-state communities will be critical. This could involve joint conferences, shared databases that include both natural and synthetic analogues, and cross-disciplinary funding initiatives that explicitly recognize mineralogical crystallography as a driver of innovation rather than an adjunct to larger ‘big science’ enterprises. In an era where funding bodies increasingly demand societal relevance and technological potential, we must articulate how the fundamental insights of mineralogical crystallography, into structure, bonding, and stability, form the intellectual foundation upon which many applied materials are built.

The future of mineralogical crystallography

The discovery of new minerals and the determination of their crystal structures have historically been central to Earth sciences. In recent decades, however, these activities have often been characterized as less aligned with contemporary research priorities, as applied fields promising more immediate technological outcomes have gained prominence. This shift in perception has coincided with reduced funding and a decline in specialized expertise. Nonetheless, minerals remain indispensable records of planetary processes and are the key resources for interpreting the evolution of Earth and other celestial bodies (Brady, Reference Brady2015).

Mineralogy has historically provided more than a narrow technical contribution; it has been one of the foundational frameworks for understanding the natural world. René Just Haüy’s eighteenth-century crystallographic descriptions established the basis for systematic approaches to crystal symmetry, while scores of nineteenth-century mineralogists contributed major mathematical and conceptual advances. The twentieth century saw the development of X-ray diffraction by Max von Laue and its applications by William and Lawrence Bragg, the principles of chemical bonding elucidated by Linus Pauling, the physics of matter at extreme conditions pioneered by Percy Bridgman—all mineralogical contributions recognized by Nobel Prizes that significantly shaped our conceptions of matter. Mineral analogues, including semiconductors, superconductors, solid-state lasers, alloys, and countless other essential materials, continue to drive economic advancements. Minerals have thus served not simply as catalogued entities but also as critical objects through which fundamental natural laws have been investigated and critical technologies introduced. This intellectual tradition remains relevant, though current institutional and funding priorities often emphasize short-term outcomes over long-term cumulative knowledge.

Contemporary research environments increasingly prioritize rapid results, technological applications, and direct societal impact. These priorities address urgent challenges in fields such as renewable energy, climate science, and medicine (Alberts et al., Reference Alberts, Kirschner, Tilghman and Varmus2014). However, such an evaluative framework can make it difficult to sustain disciplines whose contributions are inherently more incremental and long-term, generating insights that are deeply fundamental yet not immediately quantifiable. Mineral discovery and crystallographic characterization exemplify this category: they are typically slow, meticulous processes that yield durable results. Once a mineral is identified and structurally characterized, it enters the scientific record permanently. Maintaining capacity in this area ensures the continued expansion of a stable body of knowledge.

The decline of mineralogical research capacity carries hidden costs, including the loss of critical expertise that is difficult to reproduce once interrupted. Skills such as identifying textural features under a microscope, preparing crystals for diffraction studies, and interpreting structural refinements require long training under experienced practitioners. If such training pipelines are disrupted, gaps in expertise may persist for generations, limiting the ability to recover knowledge and techniques.

The perception of mineral discovery as ‘merely descriptive’ also overlooks the interpretive role of description in science. The identification of stishovite as a high-pressure polymorph of silica (Stishov and Popova, Reference Stishov and Popova1961) provided evidence for large impact events and altered models of planetary geology. The recognition of bridgmanite (MgSiO₃ with perovskite structure) as the most abundant mineral in Earth’s mantle (Tschauner et al., Reference Tschauner, Ma, Beckett, Prescher, Prakapenka and Rossman2014) confirmed long-standing theoretical models of Earth’s inner structure and dynamics. The finding of hydrous ringwoodite (high-pressure polymorph of Mg₂SiO₄) provided direct evidence for significant water reservoirs in the deep Earth (Pearson et al., Reference Pearson, Brenker, Nestola, McNeill, Nasdala, Hutchison, Matveev, Mather, Silversmit, Schmitz, Vekemans and Vincze2014). The discovery of natural quasicrystals in a meteorite (Bindi et al., Reference Bindi, Steinhardt, Yao and Lu2009) introduced a fundamentally new structural category into the catalogue that Nature could form. The atomic structures of minerals have served as the basis for the discovery and description of countless critical technological materials – semiconductors, superconductors, ferroelectrics, magnets, phosphors, laser crystals, superhard abrasives, pigments and dyes, specialty alloys, building materials, fertilizers, industrial catalysts, and much more. These examples illustrate how mineralogical description can generate both deep insights into the natural world and lead to the discovery of immensely practical products with broad scientific and societal consequences.

The planetary sciences further demonstrate the continuing relevance of mineralogical expertise. The scientific return of lunar, Martian, and asteroid samples from space missions depends heavily on the ability to analyse mineralogical data. Apollo lunar basalts clarified the Moon’s volcanic history; Martian meteorites have provided evidence of past environmental conditions; and recent asteroid samples from Hayabusa2 (Watanabe et al., Reference Watanabe, Hirabayashi and Hirata2019) and OSIRIS-REx (Lauretta et al., Reference Lauretta, Bartels, Barucci, Bierhaus, Binzel, Bottke, Campins, Chesley, Clark, Clark, Connolly, Crombie, Delbó, Dworkin, Emery, Glavin, Hamilton, Hergenrother, Johnson, Keller, Michel, Nolan, Sandford, Scheeres, Simon, Sutter, Vokrouhlický and Walsh2015) contain both mineralogical signatures relevant to models of early solar system processes, and a wealth of condensed organic material that points to mineral–molecule interactions critical to life’s origins and evolution. Without specialized expertise in mineralogy, the full potential of such missions would be difficult to realize.

The boundary between ‘pure’ and ‘applied’ mineralogy has historically been fluid. Minerals initially studied as natural curiosities have later acquired technological significance. Zeolites, first described by A.F. Cronstedt in 1756, are now central to catalysis and remediation technologies (Breck, Reference Breck1974). The spinel structure, long studied in mineralogical contexts, is now crucial to battery technology (Musicó et al., Reference Musicó, Wright, Ward, Grutter, Arenholz, Gilbert, Mandrus and Keppens2019). These cases suggest that continued investment in descriptive mineralogy will yield future applications that are not currently foreseeable.

Minerals also hold broader cultural and educational significance. Collections in museums and institutions worldwide preserve mineral specimens that foster public interest and inform understanding of natural history. The passionate pursuit of mineral collecting as a hobby has inspired countless young scholars to pursue Earth sciences as a career. The systematic study of mineral diversity thus contributes to scientific education as well as scientific and cultural heritage.

Addressing the challenges facing mineralogical research will probably need to be reframed as a strategic scientific priority. Addressing this challenge requires convincing funding agencies of mineralogy’s long-term value, obtaining commitments for integration of mineralogical crystallography training into university curricula, and increasing support for international collaborations aimed at cataloguing Earth’s mineral diversity. Estimates suggest that thousands of mineral species remain undiscovered, each with potential to inform geochemical and planetary models (Hazen et al., Reference Hazen, Morrison, Prabhu, Bindi and Cruciani2023).

Ultimately, the future of crystallography is both expansive and integrative. It unites the fundamental with the applied, the terrestrial with the cosmic, and the atomic with the societal. As discipline advances, it will continue to transform our understanding of the mineral world, inform the technologies that shape human life, and inspire a deeper appreciation of the structured beauty and functional complexity of matter itself. Mineralogical crystallography, poised at the intersection of observation, prediction, and responsibility, is thus destined to remain a cornerstone of scientific inquiry and human understanding for generations to come.

We conclude that sustaining the expertise required to describe, explain, predict and employ minerals is essential for advancing Earth and planetary sciences and all scientific, technological, and societal concerns that depend upon them. Reinvestment in mineralogical discovery and training will ensure that future generations retain the capacity to analyse and interpret these captivating and invaluable natural archives.