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Papers matching “power coupling efficiency” 184

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Comment on egusphere-2026-2478
2026 peer-review Computer Science Computational Physics and Python Applications Open access

William S. Kearney, Gina Arnau, Theophil Bringezu, Michael Dietze, Boris Gailleton, Anna-Lena Lamprecht, +5 more

0

citations
Comment on egusphere-2026-2478
2026 peer-review Computer Science Computational Physics and Python Applications Open access

William S. Kearney, Gina Arnau, Theophil Bringezu, Michael Dietze, Boris Gailleton, Anna-Lena Lamprecht, +5 more

0

citations
Geometry-Aware Physics-Informed Neural Network: A Framework for Solving the Reynolds Equation with Starvation for Lubricated Contacts
2026 conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

Faras Brumand‐Poor, Artem Konstantinov, Darren Lam Ming Hui, Eric Guntermann, Jakob Wirtz, Prof. Katharina Schmitz

0

citations
Comment on egusphere-2026-2478
2026 peer-review Computer Science Computational Physics and Python Applications Open access

William S. Kearney, Gina Arnau, Theophil Bringezu, Michael Dietze, Boris Gailleton, Anna-Lena Lamprecht, +5 more

0

citations
Mehrskalige Modellierung des Schädigungs- und Bruchverhaltens nanostrukturierter Schichten
2020 RWTH Publications (RWTH Aachen) dissertation Engineering Metal and Thin Film Mechanics Open access

Shahed Rezaei

0

citations
Design and optimization of renewable energy carrier supply chains: global logistics, energy storage, and policy frameworks
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Integrated Energy Systems Optimization Open access

Mohammad Zardoshti Zadeh Yazdi

0

citations
Comment on egusphere-2026-2478
2026 peer-review Computer Science Computational Physics and Python Applications Open access

William S. Kearney, Gina Arnau, Theophil Bringezu, Michael Dietze, Boris Gailleton, Anna-Lena Lamprecht, +5 more

0

citations
Comment on egusphere-2026-2478
2026 peer-review Computer Science Computational Physics and Python Applications Open access

William S. Kearney, Gina Arnau, Theophil Bringezu, Michael Dietze, Boris Gailleton, Anna-Lena Lamprecht, +5 more

0

citations
The Ouroboros of Memristors: Neural Networks Facilitating Memristor Programming
2023 Neuronics Conference conference-paper Engineering Advanced Memory and Neural Computing

Zhenming Yu, Ming-Jay Yang, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, Emre Neftci

0

citations