activity
20032023
most citedAssessing the Performance of Recent Density Functionals for Bulk Solids

1k citations · 3.1k across the 26 of their papers we have counts for

collaborators

24 papers

cond-mat.mtrl-sci2023★ 2 cited

Uncovering the role of the light-induced reduction of the inter-atomic exchange in the ultrafast demagnetization of Fe, Co, and Ni

Philippe Scheid, Julius Hohlfeld, Gregory Malinowski +6

Time resolved measurements of the linear magneto-optical Kerr rotation reveal that, in the {\it 3d} ferromagnets Fe, Co and Ni, the amplitude of the demagnetization increases linea…

physics.chem-ph2022

Solving the Schrödinger Equation in the Configuration Space with Generative Machine Learning

B. Herzog, B. Casier, S. Lebègue +1

The configuration interaction approach provides a conceptually simple and powerful approach to solve the Schrödinger equation for realistic molecules and materials but is character…

cond-mat.mtrl-sci2021

Assessing the Accuracy of Machine Learning Thermodynamic Perturbation Theory: Density Functional Theory and Beyond

Basile Herzog, Mauricio Chagas da Silva, Bastien Casier +5

Machine learning thermodynamic perturbation theory (MLPT) is a promising approach to compute finite temperature properties when the goal is to compare several different levels of a…

physics.chem-ph2020★ 4 cited

Hybrid localized graph kernel for machine learning energy-related properties of molecules and solids

Bastien Casier, Mauricio Chagas da Silva, Michael Badawi +4

Nowadays, the coupling of electronic structure and machine learning techniques serves as a powerful tool to predict chemical and physical properties of a broad range of systems. Wi…

cond-mat.mtrl-sci2019★ 18 cited

Bridging molecular dynamics and correlated wave-function methods for accurate finite-temperature properties

Dario Rocca, Anant Dixit, Michael Badawi +3

We introduce the "selPT" perturbative approach, based on ab initio molecular dynamics (AIMD), for computing accurate finite-temperature properties by efficiently using correlated w…

cond-mat.mes-hall2017★ 38 cited

Moiré pattern interlayer potentials in van der Waals materials from random-phase approximation calculations

Nicolas Leconte, Jeil Jung, Sébastien Lebègue +1

Stacking-dependent interlayer interactions are important for understanding the structural and electronic properties in incommensurable two dimensional material assemblies where lon…