Search Results for author: Raghunathan Ramakrishnan

Found 3 papers, 1 papers with code

Machine Learning Modeling of Materials with a Group-Subgroup Structure

no code implementations31 Dec 2020 Prakriti Kayastha, Raghunathan Ramakrishnan

Crystal structures connected by continuous phase transitions are linked through mathematical relations between crystallographic groups and their subgroups.

Chemical Physics

Machine Learning, Quantum Mechanics, and Chemical Compound Space

1 code implementation26 Oct 2015 Raghunathan Ramakrishnan, O. Anatole von Lilienfeld

We review recent studies dealing with the generation of machine learning models of molecular and solid properties.

Chemical Physics

Electronic Spectra from TDDFT and Machine Learning in Chemical Space

no code implementations8 Apr 2015 Raghunathan Ramakrishnan, Mia Hartmann, Enrico Tapavicza, O. Anatole von Lilienfeld

For a training set of 10 thousand molecules, CC2 excitation energies can be reproduced to within $\pm$0. 1 eV for the remaining molecules.

Chemical Physics

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