| Deep dive into machine learning density functional theory for materials science and chemistry L Fiedler, K Shah, M Bussmann, A Cangi Physical Review Materials 6 (4), 040301, 2022 | 136 | 2022 |
| Semiclassical origins of density functionals P Elliott, D Lee, A Cangi, K Burke Physical review letters 100 (25), 256406, 2008 | 120 | 2008 |
| Electronic density response of warm dense matter T Dornheim, ZA Moldabekov, K Ramakrishna, P Tolias, AD Baczewski, ... Physics of Plasmas 30 (3), 2023 | 100 | 2023 |
| Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks JA Ellis, L Fiedler, GA Popoola, NA Modine, JA Stephens, AP Thompson, ... Physical Review B 104 (3), 035120, 2021 | 99 | 2021 |
| Effective static approximation: A fast and reliable tool for warm dense matter theory T Dornheim, A Cangi, K Ramakrishna, M Böhme, S Tanaka, J Vorberger arXiv preprint arXiv:2008.02165, 2020 | 93 | 2020 |
| A shallow hybrid classical–quantum spiking feedforward neural network for noise-robust image classification D Konar, AD Sarma, S Bhandary, S Bhattacharyya, A Cangi, V Aggarwal Applied soft computing 136, 110099, 2023 | 77 | 2023 |
| Predicting electronic structures at any length scale with machine learning L Fiedler, NA Modine, S Schmerler, DJ Vogel, GA Popoola, AP Thompson, ... npj Computational Materials 9 (1), 115, 2023 | 61 | 2023 |
| Electronic structure via potential functional approximations A Cangi, D Lee, P Elliott, K Burke, EKU Gross Physical Review Letters 106 (23), 236404, 2011 | 55 | 2011 |
| Data-driven magneto-elastic predictions with scalable classical spin-lattice dynamics S Nikolov, MA Wood, A Cangi, JB Maillet, MC Marinica, AP Thompson, ... npj Computational Materials 7 (1), 153, 2021 | 53 | 2021 |
| Leading corrections to local approximations A Cangi, D Lee, P Elliott, K Burke Physical Review B—Condensed Matter and Materials Physics 81 (23), 235128, 2010 | 52 | 2010 |
| First-principles modeling of plasmons in aluminum under ambient and extreme conditions K Ramakrishna, A Cangi, T Dornheim, A Baczewski, J Vorberger Physical Review B 103 (12), 125118, 2021 | 47 | 2021 |
| Imaginary-time correlation function thermometry: A new, high-accuracy and model-free temperature analysis technique for x-ray Thomson scattering data T Dornheim, MP Böhme, DA Chapman, D Kraus, TR Preston, ... Physics of Plasmas 30 (4), 2023 | 43 | 2023 |
| Reduced Density Matrix Functional Theory at Finite Temperature: Theoretical Foundations T Baldsiefen, A Cangi, EKU Gross arXiv preprint arXiv:1208.4703, 2012 | 42 | 2012 |
| Corrections to Thomas-Fermi densities at turning points and beyond RF Ribeiro, D Lee, A Cangi, P Elliott, K Burke Physical Review Letters 114 (5), 050401, 2015 | 41 | 2015 |
| The relevance of electronic perturbations in the warm dense electron gas Z Moldabekov, T Dornheim, M Böhme, J Vorberger, A Cangi The Journal of Chemical Physics 155 (12), 2021 | 40 | 2021 |
| Effective electronic forces and potentials from ab initio path integral Monte Carlo simulations T Dornheim, P Tolias, ZA Moldabekov, A Cangi, J Vorberger The Journal of Chemical Physics 156 (24), 2022 | 37 | 2022 |
| Potential functionals versus density functionals A Cangi, EKU Gross, K Burke Physical Review A—Atomic, Molecular, and Optical Physics 88 (6), 062505, 2013 | 37 | 2013 |
| Benchmarking exchange-correlation functionals in the spin-polarized inhomogeneous electron gas under warm dense conditions Z Moldabekov, T Dornheim, J Vorberger, A Cangi Physical Review B 105 (3), 035134, 2022 | 36 | 2022 |
| Non-empirical mixing coefficient for hybrid XC functionals from analysis of the XC kernel ZA Moldabekov, M Lokamani, J Vorberger, A Cangi, T Dornheim The Journal of Physical Chemistry Letters 14 (5), 1326-1333, 2023 | 31 | 2023 |
| Accelerating equilibration in first-principles molecular dynamics with orbital-free density functional theory L Fiedler, ZA Moldabekov, X Shao, K Jiang, T Dornheim, M Pavanello, ... Physical Review Research 4 (4), 043033, 2022 | 31 | 2022 |
