Transferability of atomic energies from alchemical decomposition

Author:

Sahre Michael J.1ORCID,von Rudorff Guido Falk23ORCID,Marquetand Philipp4ORCID,von Lilienfeld O. Anatole15678910ORCID

Affiliation:

1. Vienna Doctoral School in Chemistry (DoSChem) and Institute of Theoretical Chemistry and Faculty of Physics, University of Vienna 1 , 1090 Vienna, Austria

2. Department of Chemistry, University Kassel 2 , Heinrich-Plett-Str.40, 34132 Kassel, Germany

3. Center for Interdisciplinary Nanostructure Science and Technology (CINSaT) 3 , Heinrich-Plett-Straße 40, 34132 Kassel, Germany

4. Faculty of Chemistry, Institute of Theoretical Chemistry, University of Vienna 4 , Währinger Str. 17, 1090 Vienna, Austria

5. Chemical Physics Theory Group, Department of Chemistry, University of Toronto 5 , St. George Campus, Toronto, M5S 3H6 Ontario, Canada

6. Department of Materials Science and Engineering, University of Toronto 6 , St. George Campus, Toronto, M5S 3E4 Ontario, Canada

7. Vector Institute for Artificial Intelligence 7 , Toronto, M5S 1M1 Ontario, Canada

8. ML Group, Technische Universität Berlin and Institute for the Foundations of Learning and Data 8 , 10587 Berlin, Germany

9. Berlin Institute for the Foundations of Learning and Data 9 , 10587 Berlin, Germany

10. Department of Physics, University of Toronto 10 , St. George Campus, Toronto, M5S 1A7 Ontario, Canada

Abstract

We study alchemical atomic energy partitioning as a method to estimate atomization energies from atomic contributions, which are defined in physically rigorous and general ways through the use of the uniform electron gas as a joint reference. We analyze quantitatively the relation between atomic energies and their local environment using a dataset of 1325 organic molecules. The atomic energies are transferable across various molecules, enabling the prediction of atomization energies with a mean absolute error of 23 kcal/mol, comparable to simple statistical estimates but potentially more robust given their grounding in the physics-based decomposition scheme. A comparative analysis with other decomposition methods highlights its sensitivity to electrostatic variations, underlining its potential as a representation of the environment as well as in studying processes like diffusion in solids characterized by significant electrostatic shifts.

Funder

HORIZON EUROPE European Research Council

Canada First Research Excellence Fund

Ed Clark Chair of Advanced Materials

Canada CIFAR AI Chair

Publisher

AIP Publishing

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