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Predicting Properties of Periodic Systems from Cluster Data: A Case
  Study of Liquid Water

Predicting Properties of Periodic Systems from Cluster Data: A Case Study of Liquid Water

3 December 2023
Viktor Zaverkin
David Holzmüller
Robin Schuldt
Johannes Kastner
ArXivPDFHTML

Papers citing "Predicting Properties of Periodic Systems from Cluster Data: A Case Study of Liquid Water"

2 / 2 papers shown
Title
Transfer learning for chemically accurate interatomic neural network
  potentials
Transfer learning for chemically accurate interatomic neural network potentials
Viktor Zaverkin
David Holzmüller
Luca Bonfirraro
Johannes Kastner
23
24
0
07 Dec 2022
Gaussian Moments as Physically Inspired Molecular Descriptors for
  Accurate and Scalable Machine Learning Potentials
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials
Viktor Zaverkin
Johannes Kastner
34
67
0
15 Sep 2021
1