Nong Artrith is a tenured Assistant Professor in Materials Chemistry and Catalysis at Utrecht University with ~8 years of experience applying first-principles and machine learning methods to discover and interpret energy materials. Trained in theoretical chemistry (Dr. rer. nat.) and shaped by postdoctoral work at MIT and UC Berkeley, she has bridged academia and national labs as a research scientist at Columbia and Brookhaven. She is the main developer of the open-source ænet package for atomistic ML models, combining software engineering with deep domain knowledge in catalysis and battery materials. Recognized as a Scialog Fellow and Schlumberger Foundation fellow, Nong’s work uniquely integrates ML model development with experimental interpretation to accelerate materials discovery.
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Nong Artrith - Assistant Professor at Utrecht University