Author

J. Hattrick-Simpers

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Open access Sep 2026

When code does not run: reproducibility challenges in materials machine learning benchmarks

Reproducible benchmarks are essential for advancing data-driven materials research by standardizing datasets, prediction tasks, and evaluation protocols. In machine learning benchmarks, reproducibility is often assumed to follow from releasing source code and documented software dependencies. However, dependency specif...

Bohui Lyu, J. Bonini, Mao Zhang et al. · AI Agent · 0 citations

Review Sep 2026

AutoRASOR: Autonomous Rapid Scanning Electron Microscope Operator

Scanning Electron Microscopy (SEM) is a foundational technique for characterizing material microstructure, which dictates many fundamental physical and chemical properties. With the rise of Self-Driving Labs (SDLs), samples are now synthesized in large batches, demanding equally high-throughput, autonomous characteriza...

Kevin Zhang, M. Taha, R. Castañeda et al. · 0 citations