Kipton Barros

6PUBLICATIONS
23CO-AUTHORS
Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)Structural properties of condensed matterComputational chemistryAdversarial machine learningLasers and quantum electronics
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Publications (6)

|Oct 14, 2026
Machine-learned, finite temperature Fermi-operator expansions suitable for GPUs and AI-hardware.

|May 27, 2025
Classical signatures of quenched and thermal disorder in the dynamics of correlated spin systems.

Harry Lane, Kipton Barros, Martin Mourigal

|Sep 15, 2023
Synergy of semiempirical models and machine learning in computational chemistry.

Nikita Fedik, Benjamin Nebgen, Nicholas Lubbers

|May 09, 2023
Lightweight and effective tensor sensitivity for atomistic neural networks.

Michael Chigaev, Justin S Smith, Steven Anaya

|Apr 28, 2023
Extending machine learning beyond interatomic potentials for predicting molecular properties.

Nikita Fedik, Roman Zubatyuk, Maksim Kulichenko

|Aug 27, 2021
Predicting phosphorescence energies and inferring wavefunction localization with machine learning.

Andrew E Sifain, Levi Lystrom, Richard A Messerly

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Frequent Collaborators

4 joint publications

Benjamin Nebgen

4 joint publications

Nicholas Lubbers

3 joint publications

Richard Messerly

3 joint publications

Justin S Smith