Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Bocklund, Brandon
Bobbio, Lourdes D.
Otis, Richard A.
Beese, Allison M.
and
Liu, Zi-Kui
2020.
Experimental validation of Scheil–Gulliver simulations for gradient path planning in additively manufactured functionally graded materials.
Materialia,
Vol. 11,
Issue. ,
p.
100689.
Liu, Zi-Kui
2020.
Computational thermodynamics and its applications.
Acta Materialia,
Vol. 200,
Issue. ,
p.
745.
Guéneau, Christine
Asta, Mark
and
Sundman, Bo
2020.
Comprehensive Nuclear Materials.
p.
814.
Ostrowska, Marlena
and
Cacciamani, Gabriele
2020.
Thermodynamic modelling of the σ and μ phases in several ternary systems containing Co, Cr, Fe, Mo, Re and W.
Journal of Alloys and Compounds,
Vol. 845,
Issue. ,
p.
156122.
Bocklund, Brandon
Otis, Richard
Egorov, Aleksei
Obaied, Abdulmonem
Roslyakova, Irina
and
Liu, Zi-Kui
2020.
Erratum to: ESPEI for efficient thermodynamic database development, modification, and uncertainty quantification: application to Cu–Mg—CORRIGENDUM.
MRS Communications,
Vol. 10,
Issue. 4,
p.
702.
Liu, Zi-Kui
2020.
View and Comments on the Data Ecosystem: “Ocean of Data”.
Engineering,
Vol. 6,
Issue. 6,
p.
604.
Zomorodpoosh, S.
Bocklund, B.
Obaied, A.
Otis, R.
Liu, Z.-K.
and
Roslyakova, I.
2020.
Statistical approach for automated weighting of datasets: Application to heat capacity data.
Calphad,
Vol. 71,
Issue. ,
p.
101994.
Zhong, Jing
Chen, Li
and
Zhang, Lijun
2020.
High-throughput determination of high-quality interdiffusion coefficients in metallic solids: a review.
Journal of Materials Science,
Vol. 55,
Issue. 24,
p.
10303.
Honarmandi, Pejman
and
Arróyave, Raymundo
2020.
Uncertainty Quantification and Propagation in Computational Materials Science and Simulation-Assisted Materials Design.
Integrating Materials and Manufacturing Innovation,
Vol. 9,
Issue. 1,
p.
103.
Lin, Yu
Saboo, Abhinav
Frey, Ramón
Sorkin, Sam
Gong, Jiadong
Olson, Gregory B.
Li, Meng
and
Niu, Changning
2021.
CALPHAD Uncertainty Quantification and TDBX.
JOM,
Vol. 73,
Issue. 1,
p.
116.
Otis, Richard
Bocklund, Brandon
and
Liu, Zi‐Kui
2021.
Sensitivity estimation for calculated phase equilibria.
Journal of Materials Research,
Vol. 36,
Issue. 1,
p.
140.
Abrahams, Katrin
Zomorodpoosh, Setareh
Khorasgani, Ahmadreza Riyahi
Roslyakova, Irina
Steinbach, Ingo
and
Kundin, Julia
2021.
Automated assessment of a kinetic database for fcc Co–Cr–Fe–Mn–Ni high entropy alloys.
Modelling and Simulation in Materials Science and Engineering,
Vol. 29,
Issue. 5,
p.
055007.
Ladygin, V.
Beniya, I.
Makarov, E.
and
Shapeev, A.
2021.
Bayesian learning of thermodynamic integration and numerical convergence for accurate phase diagrams.
Physical Review B,
Vol. 104,
Issue. 10,
Yang, Songge
Wang, Yi
Liu, Zi-Kui
and
Zhong, Yu
2021.
Ab initio simulations on the pure Cr lattice stability at 0K: Verification with the Fe-Cr and Ni-Cr binary systems.
Calphad,
Vol. 75,
Issue. ,
p.
102359.
Wang, Yi
Liao, Mingqing
Bocklund, Brandon J.
Gao, Peng
Shang, Shun-Li
Kim, Hojong
Beese, Allison M.
Chen, Long-Qing
and
Liu, Zi-Kui
2021.
DFTTK: Density Functional Theory ToolKit for high-throughput lattice dynamics calculations.
Calphad,
Vol. 75,
Issue. ,
p.
102355.
Otis, Richard
Bocklund, Brandon
and
Liu, Zi‐Kui
2021.
Sensitivity estimation for calculated phase equilibria.
Journal of Materials Research,
Vol. 36,
Issue. 1,
p.
140.
Kadkhodaei, Sara
and
Muñoz, Jorge A.
2021.
Cluster Expansion of Alloy Theory: A Review of Historical Development and Modern Innovations.
JOM,
Vol. 73,
Issue. 11,
p.
3326.
Lund, J.
Wang, H.
Braatz, R. D.
and
García, R. E.
2022.
Machine learning of phase diagrams.
Materials Advances,
Vol. 3,
Issue. 23,
p.
8485.
Xiong, Wei
and
Hao, Liangyan
2022.
Fundamental Issues Identified for Thermodynamic Description of Molten Salt Systems.
Journal of Phase Equilibria and Diffusion,
Vol. 43,
Issue. 6,
p.
894.
Gong, Rushi
Shang, Shun-Li
Sun, Hui
Janik, Michael John
and
Liu, Zi-Kui
2022.
Thermodynamic Modeling of the Pd-Zn System with Uncertainty Quantification and its Implication to Tailor Catalysts.
SSRN Electronic Journal ,