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20232026
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physics.chem-ph2026

Constraint-aware functional cloning for stable and transferable machine-learned density functional theory

Sara Navarro-Rodríguez, Alec Wills, Kimberly J. Daas +2

We study a simple but useful test for neural exchange-correlation (XC) functionals: can a neural model reproduce an established XC functional when it is used self-consistently? We…

physics.chem-ph2025

Ensemble Time-Dependent Density Functional Theory

Kimberly J. Daas, Steven Crisostomo, Kieron Burke

Time-dependent density functional theory (TDDFT) is a standard approach for calculating optical excitations of molecules and solids, while ensemble DFT (EDFT) is a promising altern…

physics.chem-ph20252 cited

Approximate normalizations for approximate density functionals

Adam Clay, Kiril Datchev, Wenlan Miao +3

It seems self-evident that a density functional calculation should be normalized to the number of electrons in the system. We present multiple examples where the accuracy of the ap…

physics.chem-ph2024

The Møller-Plesset Adiabatic Connection at Large Coupling Strengths for Open-shell Systems

Kimberly J. Daas, Eveline Klute, Michael Seidl +1

We study the adiabatic connection that has as weak-coupling expansion the Møller-Plesset perturbation series, generalizing to the open-shell case previous closed-shell results for…

physics.chem-ph2023

Regularized and Opposite spin-scaled functionals from Møller-Plesset adiabatic connection -- higher accuracy at lower cost

Kimberly J. Daas, Derk P. Kooi, Nina C. Peters +4

Non-covalent interactions (NCIs) play a crucial role in biology, chemistry, material science, and everything in between. To improve pure quantum-chemical simulations of NCIs, we pr…