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Conference object . 2022
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DeepPDB: An Open-Source Automated Framework to Enable High-Fidelity Atomistic Simulations in Unexplored Material Space

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 18 Jul 2022Publisher:Zenodo
Authors: Saidi, Wissam;

doi: 10.5281/zenodo.6857242 , 10.5281/zenodo.6857243

DeepPDB: An Open-Source Automated Framework to Enable High-Fidelity Atomistic Simulations in Unexplored Material Space

Abstract

The objective is to develop atomistic potentials systematically and efficiently for a variety of materials science applications. We aim to make these potentials and training datasets freely available to the scientific community.

This work is supported by National Science Foundation, Award No. CSSI-2003808

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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