Search Results for author: Anand Narayanan Krishnamoorthy

Found 2 papers, 2 papers with code

An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide

1 code implementation • 9 Sep 2020 • Ganesh Sivaraman, Leighanne Gallington, Anand Narayanan Krishnamoorthy, Marius Stan, Gabor Csanyi, Alvaro Vazquez-Mayagoitia, Chris J. Benmore

Understanding the structure and properties of refractory oxides are critical for high temperature applications.

BIG-bench Machine Learning

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Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide

2 code implementations • 22 Oct 2019 • Ganesh Sivaraman, Anand Narayanan Krishnamoorthy, Matthias Baur, Christian Holm, Marius Stan, Gabor Csányi, Chris Benmore, Álvaro Vázquez-Mayagoitia

We apply this scheme to a Hafnium dioxide (HfO2) dataset generated from a melt-quench ab initio molecular dynamics (AIMD) protocol.

Active Learning Bayesian Optimization

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Code

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