To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Wetting refers to the interactions between a liquid and a solid in a given environment [1–3]. In particular, it refers to the study of how liquids spread on solids. This field of science involves principles found in fluid mechanics and materials science and is relevant to various natural phenomena and industrial applications.
Size does matter. Whether small or large in body size, all organisms obey the laws of physics and thus are subjected to forces imposed by the physical environment. These forces place constraints on the level of performance in regard to physiology (e.g., metabolic rate, heat transfer), morphological design (e.g., skeletal framework, muscle mechanics), and behavior (e.g., predator–prey interactions, flight, locomotor speed). The structural and functional consequences of a change in size are referred to as scaling [1].
Nature has developed a wide range of materials with specific properties matched to function by combining minerals and organic polymers into hierarchical structures spanning multiple length-scales. For instance, some materials, such as antler, mimic bone structure with a lower mineralization to provide toughness [1,2], whereas many fish scales have graded material properties from the hard, penetration-resistant outer layer to the adaptive lamellae in the collagen fibril subsurface [3,4]. Indeed, biological systems represent an inexhaustible source of inspiration to materials scientists by offering potential solutions for the development of new generations of structural and functional materials [5]. Nature’s key role here is in the complex hierarchical assembly of the structural architectures [6]. The concept of multiscale hierarchical structures, where the microstructure at each level is tailored to local needs, allows the adaptation and optimization of the material form and structure at each level of hierarchy to meet specific functions. Indeed, the complexity and symbiosis of structural biological materials has generated enormous interest of late, primarily because these composite biological systems exhibit mechanical properties that are invariably far superior to those of their individual constituents [7].
Defined as the interface of biology and electronics, “bionics” is the science of integrating electronic devices with biological systems to construct hybrid systems that can restore the full functionality of an impaired biological organ or provide additional features and augmented capabilities (Figure 7.1). Indeed, the main goal of designing bionic organs is to restore the original functionality or replace the anatomical defects with enhanced abilities, such that the resulted hybrid would be able to assist humans in highly complex or hazardous tasks. Despite common artificial organs with merely mechanical and electronic elements, bionic organs consist of both mechanical and cellular components coupled in order to regenerate organ architecture and function, and tissue regrowth [1].
The history of architecture is laced with examples of bioinspiration, ranging from the use of decorative motifs to the implementation of functional and organizational principles found in plant and animal life. Likewise, a unique feature of our planet, one that allows life to flourish, has been named after a building type: The Greenhouse Effect. Exchanges in vocabulary from the fields of biology and construction occur quite frequently, i.e. building skin and cell wall, concrete shell and vault organelle, steel skeleton and body frame, and so on. As relative new sciences, it is no surprise that the fields of biology and earth sciences refer to things of scale and size more commonly understood, i.e. buildings. As they cope with the same environments and abide with the same physics, biology and architecture have developed similar solutions in their efforts to resist gravity’s pull or provide comfort and protection. The development of buildings is one of trial and error, a slow, evolutionary process that has to date produced very different building forms. Life, as well, is quite diverse in form and has arrived at this diversity using a limited palette of building materials and sources of energy. A seminal work on the development of form in biology is a book by D’Arcy W. Thompson, On Growth and Form, which first appeared in 1917 and has since become a landmark for biologist and bioinspired architects alike [1]. Using mathematical reasoning and physics, Thompson sets out to illustrate nature’s approach to derive shape, and illustrates how the forces at play are the same as those at play in the shaping of all matter, including buildings and bridges. An important tenet of his book concerns the importance of scale, how different physical forces work at different length-scales, and how these forces bring about vastly different results. It follows from his work that physics – the knowledge of nature – is essential to the understanding of biology and also forms a foundation for bioinspired design.
The abundance of flying insects in nature may make them seem ordinary to most of us. However, for approximately 350 million years [1], flying insects have been experimenting successfully with various aspects of flight, including aerodynamics [2,3], wing design [4], sensors [5,6], and flight control [7–9]. As a result, they have developed miniaturized flight apparatus and efficient computation architectures for executing aerobatic feats that are not yet emulated in engineering flight (Figure 11.1). This makes flying insects truly extraordinary small-scale aircraft from nature, and their design and working principles have received wide interest in both engineering and biology communities.
The inverse elasticity problem of identifying elastic modulus distribution based on measured displacement/strain fields plays a key role in various non-destructive evaluation (NDE) techniques used in geological exploration, quality control, and medical diagnosis (e.g., elastography). Conventional methods in this field are often computationally costly and cannot meet the increasing demand for real-time and high-throughput solutions for advanced manufacturing and clinical practices. Here, we propose a deep learning (DL) approach to address this challenge. By constructing representative sampling spaces of shear modulus distribution and adopting a conditional generative adversarial net, we demonstrate that the DL model can learn high-dimensional mapping between strain and modulus via training over a limited portion of the sampling space. The proposed DL approach bypasses the costly iterative solver in conventional methods and can be rapidly deployed with high accuracy, making it particularly suitable for applications such as real-time elastography and high-throughput NDE techniques.
As the minimum feature size of integrated circuit elements has shrunk below 7 nm, chemical mechanical planarization (CMP) technology has grown by leaps and bounds over the past several decades. There has been a growing interest in understanding the fundamental science and technology of CMP, which has continued to lag behind advances in technology. This review paper provides a comprehensive overview of various chemical and mechanical phenomena such as contact mechanics, lubrication models, chemical reaction that occur between slurry components and films being polished, electrochemical reactions, adsorption behavior and mechanism, temperature effects, and the complex interactions occurring at the wafer interface during polishing. It also provides important insights into new strategies and novel concepts for next-generation CMP slurries. Finally, the challenges and future research directions related to the chemical and mechanical process and slurry chemistry are highlighted.
TiO2-(B)/SnO2 nanostructured composites have been prepared by the combination of an oil-in-water (O/W) microemulsion reaction method (MRM) and a hydrothermal method. Its electrochemical properties were investigated as anode materials in lithium-ion battery, and characterization was carried out by XRD, BET, Raman, FE-SEM, EDXS, and TEM. The as-prepared composites consisted of monoclinic phase TiO2-(B) nanoribbons decorated with cassiterite structure SnO2 nanoparticles. The electrochemical performance of the TiO2-(B)/SnO2 50/50 nanocomposite electrode showed higher reversible capacity of 265 mAh/g than that of the pure SnO2 electrode, 79 mAh/g, after 50 cycles at 0.1 C in a voltage range of 0.01-3.0 V at room temperature. In addition, the coulombic efficiency of the TiO2-(B)/SnO2 50/50 nanocomposite remains at an average greater than 90% from the 2nd to the 50th cycles. The TiO2-(B)/SnO2 50/50 nanocomposite presented the best balance between the mechanical support effect provided by TiO2-(B) that also contributes to the LIB capacity and the SnO2 that provides high specific capacity.
Barium titanate (BTO) is a ferroelectric perovskite with potential in energy storage applications. Previous research suggests that BTO dielectric constant increases as nanoparticle diameter decreases. This report recounts an investigation of this relationship. Injection-molded nanocomposites of 5 vol% BTO nanoparticles incorporated in a low-density polyethylene matrix were fabricated and measured. Finite-element analysis was used to model nanocomposites of all BTO sizes and the results were compared with experimental data. Both indicated a negligible relationship between BTO diameter and dielectric constant at 5 vol%. However, a path for fabricating and testing composites of 30 vol% and higher is presented here.
We have synthesized graphene oxide (GO) using Hummer's method which was subsequently reduced (rGO) by hydrazine hydrate. The synthesized GO was coated with poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT-PSS) conducting polymer (CP) to obtain CP-GO which was also further reduced using hydrazine hydrate to form CP-rGO. Scanning electron microscopy, Raman spectroscopy, X-ray diffraction, ultraviolet photoelectron spectroscopy, and X-ray photoelectron spectroscopy, X-ray absorption near-edge structure (XANES) techniques were used to study the electronic and structural properties of GO, rGO, CP-GO, and CP-rGO nanocomposites for biomedical applications. The superconducting quantum interference device method was used to investigate the magnetic properties of the nanocomposites. The electrical conductivity of the CP-GO nanocomposites was found to be ~104 times higher than that of GO due to an increase in sp2 content and subsequent decrease in oxygen functional groups. In rGO, we observed an improved paramagnetic saturation magnetization of approximately 5.6 × 0−3 emu/g at 2 K. The electronic and magnetic behavior of PEDOT-PSS-coated nanocomposites, as a result, were successfully tuned for potential biological and biomedical applications.