نتائج البحث

Distillation of atomistic foundation models across architectures and chemical domains

• Authors : Gardner, John L. A.; Toit, Daniel F. Thomas du; Mahmoud, Chiheb Ben

Subjects: Physics - Computational Physics

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Coupled reaction and diffusion governing interface evolution in solid-state batteries

• Authors : Ding, Jingxuan; Zichi, Laura; Carli, Matteo

Subjects: Condensed Matter - Materials Science; Computer Science - Machine Learning; Physics - Chemical Physics

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Self-gravity in thin protoplanetary discs: 1. The smoothing-length approximation versus the exact self-gravity kernel

• Authors : Restrepo, S. Rendon; Rometsch, T.; Ziegler, U.

Subjects: Astrophysics - Earth and Planetary Astrophysics; Astrophysics - Instrumentation and Methods for Astrophysics; Physics - Computational Physics

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Dipole-quadrupole coupling in triplet exciton-polaron quenching in a phosphorescent OLED emission layer

• Authors : van Hoesel, Clint; Coehoorn, Reinder; Bobbert, Peter A.

Subjects: Physics - Atomic and Molecular Clusters; Physics - Chemical Physics; Physics - Computational Physics

• Source: C. van Hoesel, R. Coehoorn, and P. Bobbert, Dipole-quadrupole coupling in triplet exciton-polaron quenching in a phosphorescent OLED emission layer, Phys. Rev. B, vol. 111, no. 22, p. 224204, Jun.

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Time-dependent Gaussian basis sets for many-body systems using Rothe's method: A mean-field study

• Authors : Schrader, Simon Elias; Kristiansen, Håkon Emil; Pedersen, Thomas Bondo

Subjects: Physics - Chemical Physics; Physics - Computational Physics

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Efficient nanophotonic devices optimization using deep neural network trained with physics-based transfer learning (PBTL) methodology

• Authors : Kim, Gibaek; Kim, Jungho

Subjects: Physics - Optics; Physics - Computational Physics

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Hamiltonian Learning via Inverse Physics-Informed Neural Networks

• Authors : Liu, Jie; Wang, Xin

Subjects: Quantum Physics; Condensed Matter - Disordered Systems and Neural Networks; Physics - Computational Physics

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Coupled Lindblad pseudomode theory for simulating open quantum systems

• Authors : Huang, Zhen; Park, Gunhee; Chan, Garnet Kin-Lic

Subjects: Quantum Physics; Condensed Matter - Strongly Correlated Electrons; Physics - Chemical Physics

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GEARS H: Accurate machine-learned Hamiltonians for next-generation device-scale modeling

• Authors : Haldar, Anubhab; Hamze, Ali K.; Sivadas, Nikhil

Subjects: Condensed Matter - Materials Science; Physics - Computational Physics

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Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials

• Authors : Gumber, Shriya; Alzate-Vargas, Lorena; Nebgen, Benjamin T.

Subjects: Condensed Matter - Materials Science; Physics - Computational Physics

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