Advancing Material Science With Thomas-Fermi Models
ORAL · Invited
Abstract
Electronic structure methods are routinely used in materials science to predict properties of materials. A commonly broadcast message is that complex workflows, including high throughput simulations, lead to the design of novel materials with desired properties. Roadblocks given by the high computational complexity of off-the-shelf electronic structure solvers become insurmountable as the model systems considered become larger than a few nanometers. Unfortunately, this has negative repercussions to the impact and scope of modern computational material design. To attack the issue at hand, in recent years Thomas-Fermi models, also known as orbital-free DFT, have been revisited with great success for both equilibrium [2,3,5,7,8] and non-equilibrium [1,4,6] dynamics of materials. We present recent progress in the development of relevant software [8] and energy functionals [5,7] and potentials [1,4,6] for time-dependent electronic structure simulations and their application to materials interfaces and metal and semiconducting nanoparticle plasmon resonance predictions.
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Publication: [1] K Jiang, X Shao, M Pavanello; Physical Review B 106, 115153 (2022)<br>[2] X Shao, W Mi, M Pavanello; The Journal of Physical Chemistry Letters 13, 7147-7154 (2022)<br>[3] L Fiedler, ZA Moldabekov, X Shao, K Jiang, T Dornheim, M Pavanello, Attila Cangi; Phys. Rev. Research 4, 043033 (2022)<br>[4] K Jiang, X Shao, M Pavanello; Physical Review B 104, 235110 (2021)<br>[5] X Shao, W Mi, M Pavanello; Physical Review B 104, 045118 (2021)<br>[6] K Jiang, M Pavanello; Physical Review B 103, 245102 (2021)<br>[7] X Shao, W Mi, M Pavanello; The Journal of Physical Chemistry Letters 12, 4134-4139 (2021)<br>[8] X Shao, K Jiang, W Mi, A Genova, M Pavanello; WIREs: Comput. Mol. Sci., 11, e1482 (2020)