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Paolo A Erdman

Showing results (1-10 of 5) with videos related to

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PNAS Nexus|August 18, 2023
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learningPaolo A Erdman, Frank Noé
The Journal of Chemical Physics|August 27, 2025
Partitioning the electronic wave function using deep variational Monte CarloMatěj Mezera, Paolo A Erdman, Zeno Schätzle, et al.
The Journal of Chemical Physics|July 15, 2025
Deep quantum Monte Carlo approach for polaritonic chemistryYifan Tang, Gian Marcello Andolina, Alice Cuzzocrea, et al.
Nano Letters|December 20, 2018
Direct Probe of the Seebeck Coefficient in a Kondo-Correlated Single-Quantum-Dot TransistorBivas Dutta, Danial Majidi, Alvaro García Corral, et al.
Physical Review Letters|May 4, 2019
Optimal Probabilistic Work Extraction beyond the Free Energy Difference with a Single-Electron DeviceOlivier Maillet, Paolo A Erdman, Vasco Cavina, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
PNAS Nexus|August 18, 2023
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learningPaolo A Erdman, Frank Noé
The Journal of Chemical Physics|August 27, 2025
Partitioning the electronic wave function using deep variational Monte CarloMatěj Mezera, Paolo A Erdman, Zeno Schätzle, et al.
The Journal of Chemical Physics|July 15, 2025
Deep quantum Monte Carlo approach for polaritonic chemistryYifan Tang, Gian Marcello Andolina, Alice Cuzzocrea, et al.
Nano Letters|December 20, 2018
Direct Probe of the Seebeck Coefficient in a Kondo-Correlated Single-Quantum-Dot TransistorBivas Dutta, Danial Majidi, Alvaro García Corral, et al.
Physical Review Letters|May 4, 2019
Optimal Probabilistic Work Extraction beyond the Free Energy Difference with a Single-Electron DeviceOlivier Maillet, Paolo A Erdman, Vasco Cavina, et al.
Pageof 1