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Research Interests
Machine learning, high-throughput DFT, formation energy
Current Research
Roland is a senior undergraduate student at Cornell University. He is aiming to use machine learning to aid in materials discovery. He currently is trying to predict meta-GGA (SCAN) DFT formation energies using a GGA (PBE) formation energy.
Contact
rgs258@cornell.edu
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