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cond-mat.mtrl-sci2026
Machine-Learned Force Fields for Lattice Dynamics at Coupled-Cluster Level Accuracy
Sita Schönbauer, Johanna P. Carbone, Fredrik V. Eriksson +2
We investigate Machine-Learned Force Fields (MLFFs) trained on approximate Density Functional Theory (DFT) and Coupled Cluster (CC) level potential energy surfaces for the carbon d…
cond-mat.mtrl-sci2025
Abinit 2025: New Capabilities for the Predictive Modeling of Solids and Nanomaterials
Matthieu J. Verstraete, Joao Abreu, Guillaume E. Allemand +71
Abinit is a widely used scientific software package implementing density functional theory and many related functionalities for excited states and response properties. This paper p…
cond-mat.mtrl-sci2025
Exploring the accuracy of the equation-of-motion coupled-cluster band gap of solids
Evgeny Moerman, Henrique Miranda, Alejandro Gallo +7
While the periodic equation-of-motion coupled-cluster (EOM-CC) method promises systematic improvement of electronic band gap calculations in solids, its practical application at th…