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Machine Learning / A.I.

Autonomous Materials Science

We use autonomous experimentation (the merger of automated synthesis, characterization, AI-driven decision-making) to elucidate the role of composition

Trustworthy Intelligent Networks

NIST is working with industry and academia to improve the trustworthiness and applicability of artificial intelligence and machine learning technologies to

JARVIS-ML

JARVIS-ML is a repository of machine learning (ML) model parameters, descriptors, and ML related input and target data. JARVIS-ML is a part of the NIST-JARVIS

CHiMaD Phase Field Community

CHiMaD Phase Field Website Repository See the live website at pages.nist.gov/chimad-phase-field. In January 2015 a group of phase field