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Noa Marom

Materials Science and Engineering

Carnegie Mellon University

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About Noa Marom at Carnegie Mellon University (CMU)

Noa Marom is a computational materials scientist at Carnegie Mellon University who develops machine learning methods for predicting and designing molecular and inorganic materials. Their recent contributions to the field are exemplified by influential works such as "The seventh blind test of crystal structure prediction: structure generation methods", and "The seventh blind test of crystal structure prediction: structure ranking methods".

Research Areas

machine learning in materials sciencemolecular crystal structure predictioncomputational materials designnanostructureschemical physicsmolecular junctionsinorganic interfacesneural network potentials
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