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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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Academic Impact Matrix

Research output metrics for Noa Marom aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations4,509

Emerging researcher

Publications154

Active researcher

h-index32

Established scholar

i10-index65

Growing portfolio

Lab Environment

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Top Publications

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