arXiv Machine Learning June 15, 2026 By Yu Liu, Stanislav Udovenko, Ching-Che Lin, Jaegyu Kim, Lane W. Martin, Susan Trolier-McKinstry, Sergei V. Kalinin

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Read the original on arXiv Machine Learning →

arXiv:2606. 13859v1 Announce Type: cross Abstract: Many materials and chemical systems exhibit history-dependent responses, where functional outcomes are governed not only by final-state variables but by the time-dependent sequence of fields, temperatures, or chemical potentials applied during operation.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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