Machine learning–enabled high-entropy alloy discovery

Combinatorial development of multicomponent Invar alloys via rapid alloy prototyping

(2022) Ziyuan Rao et al.   Materialia

3d transition-metal high-entropy Invar alloy developed by adjusting the valence-electron concentration

(2021) Ziyuan Rao et al.   Physical Review Materials

Dimensional stability of a metastable FCC high entropy alloy

(2021) Chun-Lin Lin et al.   APPLIED PHYSICS LETTERS

Investigation on the thermal expansion behavior of FeCoNi and Fe30Co30Ni30Cr10-xMnx high entropy alloys

(2021) Chun-Lin Lin et al.   MATERIALS CHEMISTRY AND PHYSICS

Machine‐Learning Microstructure for Inverse Material Design

(2021) Zongrui Pei et al.   Advanced Science

Crystal graph attention networks for the prediction of stable materials

(2021) Jonathan Schmidt et al.   Science Advances

Machine learning prediction of thermodynamic and mechanical properties of multicomponent Fe-Cr-based alloys

(2021) B. O. Mukhamedov et al.   Physical Review Materials

The influence of temperature on the elastic properties of body-centered cubic reduced activation steels

(2020) Xiaojie Li et al.   MATERIALS & DESIGN

High-entropy alloys

(2019) Easo P. George et al.   Nature Reviews Materials

Invar effects in FeNiCo medium entropy alloys: From an Invar treasure map to alloy design

(2019) Ziyuan Rao et al.   INTERMETALLICS

Accelerated Discovery of Large Electrostrains in BaTiO3 -Based Piezoelectrics Using Active Learning

(2018) Ruihao Yuan et al.   ADVANCED MATERIALS

Mapping the magnetic transition temperatures for medium- and high-entropy alloys

(2018) Shuo Huang et al.   INTERMETALLICS

Elastic moduli and thermal expansion coefficients of medium-entropy subsystems of the CrMnFeCoNi high-entropy alloy

(2018) G. Laplanche et al.   JOURNAL OF ALLOYS AND COMPOUNDS

Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

(2018) Prasanna V. Balachandran et al.   Nature Communications

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

(2018) Rafael Gómez-Bombarelli et al.   ACS Central Science

Machine learning in materials design and discovery: Examples from the present and suggestions for the future

(2018) J. E. Gubernatis et al.   PHYSICAL REVIEW MATERIALS

TCHEA1: A Thermodynamic Database Not Limited for “High Entropy” Alloys

(2017) Huahai Mao et al.   JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION

Boosting in the Presence of Outliers: Adaptive Classification With Nonconvex Loss Functions

(2017) Alexander Hanbo Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Accelerated search for materials with targeted properties by adaptive design

(2016) Dezhen Xue et al.   Nature Communications

“Treasure maps” for magnetic high-entropy-alloys from theory and experiment

(2015) F. Körmann et al.   APPLIED PHYSICS LETTERS

Microscopy and strength of borosilicate glass-to-Kovar alloy joints

(2007) C. Chanmuang et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING