2 papers
physics.data-an2026
Accelerating Electrochemical Impedance Spectroscopy Measurements by Reducing Reliance on Noisy Low-Frequency Data
Qiuyu Shi, Naohiro Fujinuma, Yonatan Kurniawan +4
Electrochemical impedance spectroscopy (EIS) is a powerful tool for probing kinetic and transport processes in electrochemical systems, but its practical use is often limited by th…
cond-mat.mtrl-sci2021
Reflections on the future of machine learning for materials research
Naohiro Fujinuma, Brian L. DeCost, Jason Hattrick-Simpers +1
Applied machine learning (ML) has rapidly spread throughout the physical sciences; in fact, ML-based data analysis and experimental decision-making has become commonplace. We sugge…