most citedA Machine-Learning Surrogate Model for ab initio Electronic Correlations at Extreme Conditions

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

physics.comp-ph2021★ 2 cited

A Machine-Learning Surrogate Model for ab initio Electronic Correlations at Extreme Conditions

Tobias Dornheim, Zhandos Moldabekov, Attila Cangi

The electronic structure in matter under extreme conditions is a challenging complex system prevalent in astrophysical objects and highly relevant for technological applications. W…

cond-mat.mtrl-sci2020

First-principles modeling of plasmons in aluminum under ambient and extreme conditions

Kushal Ramakrishna, Attila Cangi, Tobias Dornheim +2

The theoretical understanding of plasmon behavior is crucial for an accurate interpretation of inelastic scattering diagnostics in many experiments. We highlight the utility of lin…