3 papers
cond-mat.mtrl-sci2026
Composition design of refractory compositionally complex alloys using machine learning models
Tao Liang, Eric A. Lass, Haochen Zhu +5
Refractory compositionally complex alloys (RCCAs) are considered the next generation high-temperature materials. However, their high-dimensional composition spaces are too large to…
cond-mat.mtrl-sci2026
Autonomous Probe Microscopy with Robust Bag-of-Features Multi-Objective Bayesian Optimization: Pareto-Front Mapping of Nanoscale Structure-Property Trade-Offs
Kamyar Barakati, Haochen Zhu, C Charlotte Buchanan +3
Combinatorial materials libraries are an efficient route to generate large families of candidate compositions, but their impact is often limited by the speed and depth of character…
cond-mat.mtrl-sci2025
Accelerated Materials Discovery through Cost-Aware Bayesian Optimization of Real-World Indentation Workflows
Vivek Chawla, Stephen Puplampu, Haochen Zhu +3
Accelerating the discovery of mechanical properties in combinatorial materials requires autonomous experimentation that accounts for both instrument behavior and experimental cost.…