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A. Jaberi

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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. · 0 citations
#machine learning Preprint Apr 2026

AutoREC: A reinforcement learning platform for equivalent circuit model generation

The platform supports an end-to-end workflow encompassing EIS preprocessing with selectable impedance representations, agent setup and training, ECM generation for new measurements, and visualization-based evaluation and analysis of agent decision-making.

A. Jaberi, Yonatan Kurniawan, Robert Black et al. · 0 citations

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