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P
Patrick Gelß
Freie Universität Berlin
7
H指数
35
论文数
322
被引数
0
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9
发表时间
发表时间
IF
被引数
Large-scale stochastic simulation of open quantum systems
开放量子系统的大规模随机模拟
Nature Communications
IF
15.7
2025-12-10
0
OA
AI
Aaron Sander; Maximilian Fröhlich; Martin Eigel; Jens Eisert; Patrick Gelß; Michael Hintermüller; Richard M. Milbradt; Robert Wille; Christian B. Mendl
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Quantum dynamics of coupled excitons and phonons in chain-like systems: Tensor train approaches and higher-order propagators
链状系统中耦合激子与声子的量子动力学:张量列方法和高阶传播子
JOURNAL OF CHEMICAL PHYSICS
IF
3.1
2025-04-21
0
OA
AI
Gelss, Patrick; Matera, Sebastian; Klein, Rupert; Schmidt, Burkhard
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Improved local models and new Bell inequalities via Frank-Wolfe algorithms
PHYSICAL REVIEW RESEARCH
IF
4.2
2023-10-18
7
OA
AI
Designolle, Sebastien; Iommazzo, Gabriele; Besancon, Mathieu; Knebel, Sebastian; Gelss, Patrick; Pokutta, Sebastian
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WaveTrain: A Python package for numerical quantum mechanics of chain-like systems based on tensor trains
JOURNAL OF CHEMICAL PHYSICS
IF
3.1
2023-04-28
0
OA
AI
Riedel, Jerome; Gelss, Patrick; Klein, Rupert; Schmidt, Burkhard
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Solving the time-independent Schrodinger equation for chains of coupled excitons and phonons using tensor trains
JOURNAL OF CHEMICAL PHYSICS
IF
3.1
2022-01-12
8
OA
AI
Gelss, Patrick; Klein, Rupert; Matera, Sebastian; Schmidt, Burkhard
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Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry
量子物理和化学中机器学习问题的对称和反对称核
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF
4.6
2021-08-06
12
OA
AI
Klus, Stefan; Gelss, Patrick; Nueske, Feliks; Noe, Frank
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Feature space approximation for kernel-based supervised learning
基于核的监督学习的特征空间近似
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2021-06-01
3
OA
AI
Gelss, Patrick; Klus, Stefan; Schuster, Ingmar; Schuette, Christof
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Nearest-neighbor interaction systems in the tensor-train format
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2017-07-01
13
OA
AI
Gelss, Patrick; Klus, Stefan; Matera, Sebastian; Schuette, Christof
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Solving the master equation without kinetic Monte Carlo: Tensor train approximations for a CO oxidation model
在没有动力学蒙特卡洛的情况下求解主方程: CO氧化模型的张量训练近似
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2016-06-01
35
PRE
AI
Gelss, Patrick; Matera, Sebastian; Schuette, Christof
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研究方向
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合作学者
合作期刊
J
Jens Eisert
H 指数: 84 · 论文数: 593
F
Frank Noé
H 指数: 70 · 论文数: 405
R
Robert Wille
H 指数: 47 · 论文数: 915
C
Christof Schütte
H 指数: 41 · 论文数: 361
M
Michael Hintermüller
H 指数: 39 · 论文数: 226
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