Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach

Theoretical prediction on thermal and mechanical properties of high entropy (Zr0.2Hf0.2Ti0.2Nb0.2Ta0.2)C by deep learning potential

(2020) Fu-Zhi Dai et al.   JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY

Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothery rules

(2020) Zongrui Pei et al.   npj Computational Materials

Complex strengthening mechanisms in the NbMoTaW multi-principal element alloy

(2020) Xiang-Guo Li et al.   npj Computational Materials

On the quantification and efficient propagation of imprecise probabilities with copula dependence

(2020) Jiaxin Zhang et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Local-environment dependence of stacking fault energies in concentrated solid-solution alloys

(2019) Shijun Zhao et al.   npj Computational Materials

Outstanding radiation resistance of tungsten-based high-entropy alloys

(2019) O. El-Atwani et al.   Science Advances

A high-bias, low-variance introduction to Machine Learning for physicists

(2019) Pankaj Mehta et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Machine-learning phase prediction of high-entropy alloys

(2019) Wenjiang Huang et al.   ACTA MATERIALIA

Impact of lattice relaxations on phase transitions in a high-entropy alloy studied by machine-learning potentials

(2019) Tatiana Kostiuchenko et al.   npj Computational Materials

Effect of elemental combination on friction stress and Hall-Petch relationship in face-centered cubic high / medium entropy alloys

(2019) Shuhei Yoshida et al.   ACTA MATERIALIA

Applying a machine learning interatomic potential to unravel the effects of local lattice distortion on the elastic properties of multi-principal element alloys

(2019) Mehdi Jafary-Zadeh et al.   JOURNAL OF ALLOYS AND COMPOUNDS

Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models

(2019) Yan Zhang et al.   ACTA MATERIALIA

Uncovering the eutectics design by machine learning in the Al–Co–Cr–Fe–Ni high entropy system

(2019) Qingfeng Wu et al.   ACTA MATERIALIA

Tailoring heterogeneities in high-entropy alloys to promote strength–ductility synergy

(2019) Evan Ma et al.   Nature Communications

Machine learning guided appraisal and exploration of phase design for high entropy alloys

(2019) Ziqing Zhou et al.   npj Computational Materials

The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets

(2018) Jiaxin Zhang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Development and exploration of refractory high entropy alloys—A review

(2018) Oleg N. Senkov et al.   JOURNAL OF MATERIALS RESEARCH

On the quantification and efficient propagation of imprecise probabilities resulting from small datasets

(2018) Jiaxin Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Strength enhancement and density reduction by the addition of Al in CrFeMoV based high-entropy alloy fabricated through powder metallurgy

(2018) Ahmad Raza et al.   MATERIALS & DESIGN

Two-way design of alloys for advanced ultra supercritical plants based on machine learning

(2018) Xiaobing Hu et al.   COMPUTATIONAL MATERIALS SCIENCE

Impact of Chemical Fluctuations on Stacking Fault Energies of CrCoNi and CrMnFeCoNi High Entropy Alloys from First Principles

(2018) Yuji Ikeda et al.   Entropy

Modeling the structure and thermodynamics of high-entropy alloys

(2018) Michael Widom   JOURNAL OF MATERIALS RESEARCH

Electronic transport and phonon properties of maximally disordered alloys: From binaries to high-entropy alloys

(2018) Sai Mu et al.   JOURNAL OF MATERIALS RESEARCH

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Tunable stacking fault energies by tailoring local chemical order in CrCoNi medium-entropy alloys

(2018) Jun Ding et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Efficient Monte Carlo resampling for probability measure changes from Bayesian updating

(2018) Jiaxin Zhang et al.   PROBABILISTIC ENGINEERING MECHANICS

A high-entropy alloy with hierarchical nanoprecipitates and ultrahigh strength

(2018) Zhiqiang Fu et al.   Science Advances

The effect of randomness on the strength of high-entropy alloys

(2018) Luchan Zhang et al.   ACTA MATERIALIA

Short-Range Order in High Entropy Alloys: Theoretical Formulation and Application to Mo-Nb-Ta-V-W System

(2017) A. Fernández-Caballero et al.   JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION

Optimizing the coupled effects of Hall-Petch and precipitation strengthening in a Al 0.3 CoCrFeNi high entropy alloy

(2017) B. Gwalani et al.   MATERIALS & DESIGN

First-principles prediction of high-entropy-alloy stability

(2017) Rui Feng et al.   npj Computational Materials

Atomic-scale characterization and modeling of 60° dislocations in a high-entropy alloy

(2016) T.M. Smith et al.   ACTA MATERIALIA

A new approach to the analysis of short-range order in alloys using total scattering

(2016) L.R. Owen et al.   ACTA MATERIALIA

Theory of strengthening in fcc high entropy alloys

(2016) Céline Varvenne et al.   ACTA MATERIALIA

Interplay between Lattice Distortions, Vibrations and Phase Stability in NbMoTaW High Entropy Alloys

(2016) Fritz Körmann et al.   Entropy

High-entropy alloy: challenges and prospects

(2016) Y.F. Ye et al.   Materials Today

Exceptional damage-tolerance of a medium-entropy alloy CrCoNi at cryogenic temperatures

(2016) Bernd Gludovatz et al.   Nature Communications

A fracture-resistant high-entropy alloy for cryogenic applications

(2014) B. Gludovatz et al.   SCIENCE

Prediction of A2 to B2 Phase Transition in the High-Entropy Alloy Mo-Nb-Ta-W

(2013) William Paul Huhn et al.   JOM

Mechanical properties of Nb25Mo25Ta25W25 and V20Nb20Mo20Ta20W20 refractory high entropy alloys

(2011) O.N. Senkov et al.   INTERMETALLICS

Uncovering Compounds by Synergy of Cluster Expansion and High-Throughput Methods

(2010) Ohad Levy et al.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

Building effective models from sparse but precise data: Application to an alloy cluster expansion model

(2010) Eric Cockayne et al.   PHYSICAL REVIEW B

Bayesian approach to cluster expansions

(2009) Tim Mueller et al.   PHYSICAL REVIEW B

Cluster expansion method for multicomponent systems based on optimal selection of structures for density-functional theory calculations

(2009) Atsuto Seko et al.   PHYSICAL REVIEW B