From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “physical computing” 164

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

The Embodied Crossmodal Self Forms Language and Interaction: A Computational Cognitive Review
2021 preprint Neuroscience Embodied and Extended Cognition Open access

Frank Röder, Ozan Özdemir, Phuong D. H. Nguyen, Stefan Wermter, Manfred Eppe

0

citations
Dynamic mixed turbulence modeling using a super-resolution generative adversarial approach
2025 arXiv (Cornell University) preprint Engineering Fluid Dynamics and Turbulent Flows Open access

Heinz G. Pitsch

0

citations
FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning
2024 arXiv (Cornell University) preprint Physics and Astronomy Stellar, planetary, and galactic studies Open access

Francisco Ardévol Martínez, Michiel Min, Daniela Huppenkothen, I. Kamp, Paul I. Palmer

0

citations
Perspectives of Physics-Based Machine Learning for Geoscientific Applications Governed by Partial Differential Equations
2023 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Daniel Caviedes‐Voullième, Susanne Buiter, Harrie-Jan Hendriks Franssen, Harry Vereecken, Ana González‐Nicolás, +1 more

5

citations
Crustal-Scale Thermal Models: Revisiting the Influence of Deep Boundary Conditions
2022 preprint Energy Geothermal Energy Systems and Applications Open access

Denise Degen, Karen Veroy, Magdalena Scheck‐Wenderoth, Florian Wellmann

0

citations
Crustal-Scale Thermal Models: Revisiting the Influence of Deep Boundary Conditions
2021 preprint Energy Geothermal Energy Systems and Applications Open access

Denise Degen, Karen Veroy, Magdalena Scheck‐Wenderoth, Florian Wellmann

0

citations
Physics Informed Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
2025 arXiv (Cornell University) preprint Computer Science Image Enhancement Techniques Open access

Niki Martinel, Rita Pucci

0

citations
Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol with a Mass-Conserving Dimensionality Reduction Method
2022 preprint Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access

Patrick Obin Sturm, Astrid Manders, Arjo J. Segers, Anthony S. Wexler, Hai Xiang Lin

3

citations
Repulsive Curves.
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Christopher Yu, Keenan Crane

1

citations
System Identification for Dynamic Modeling of Large Steering Angle Vehicles
2025 arXiv (Cornell University) preprint Engineering Vehicle Dynamics and Control Systems Open access

Simone Baratto, Giancarlo Ferrari‐Trecate

0

citations
A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations
2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Qinghua Zhang, Stephan Ritzert, Jian Zhang, Jannick Kehls, Stefanie Reese, Tim Brepols

0

citations
Neural Scaling Laws for Jet Generation
2026 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

Oz Amram, Darius A. Faroughy, Tjarko Gerdes, Anna Hallin, Gregor Kasieczka, Michael Krämer, +2 more

0

citations
Towards a Physics Foundation Model
2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Florian Wiesner

2

citations
Hierarchical Modeling of the Local Reaction Environment in Electrocatalysis
2024 ChemRxiv preprint Energy Electrocatalysts for Energy Conversion Open access

Xinwei Zhu, Jun Zh. Huang, Michael Hermann Eikerling

3

citations
How to Decipher Electrocatalytic Reactions withTheory and Computation
2024 ChemRxiv preprint Energy Electrocatalysts for Energy Conversion Open access

Xinwei Zhu, Jun Zh. Huang, Michael Hermann Eikerling

1

citations
A machine learning model for nuclear Hessians based on GFN2-xTB-derived atomistic features
2026 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Gereon Feldmann, Pit Steinbach, Christoph Bannwarth

0

citations
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection
2026 preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann

0

citations
Detection-Guided Beamforming for Efficient Bat Localisation
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Agricultural and Biological Sciences Bat Biology and Ecology Studies Open access

Roberto Alessandri, Lia R. V. Gilmour, Jin Jack Tan, Alejandro Osses, Dan Stowell

0

citations
Assessing the Potential of Zero Charge in Ab Initio Molecular Dynamics Simulations
2026 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access

Arthur Hagopian, Marc T. M. Koper, Katharina Doblhoff-Dier

0

citations
Assessing the Potential of Zero Charge in Ab Initio Molecular Dynamics Simulations
2026 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access

Arthur Hagopian, Marc T. M. Koper, Katharina Doblhoff-Dier

0

citations
HighTEA: High energy Theory Event Analyser
2023 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

Michał Czakon, Zahari Kassabov, Alexander Mitov, René Poncelet

1

citations
Bayesian data selection to quantify the value of data for landslide runout calibration
2025 preprint Environmental Science Landslides and related hazards Open access

Anil Yıldiz, Julia Kowalski

1

citations
Binned top quark spin correlation and polarization observables for the LHC at 13.6 TeV
2024 arXiv (Cornell University) preprint Physics and Astronomy Particle physics theoretical and experimental studies Open access

W. Bernreuther, Long Chen, Zong-Guo Si

1

citations
Synchronization-Based Cooperative Distributed Model Predictive Control
2024 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Julius Beerwerth, Maximilian Kloock, Bassam Alrifaee

0

citations
Unlocking higher-order moments of parton distribution functions from lattice QCD
2024 arXiv (Cornell University) preprint Physics and Astronomy Quantum Chromodynamics and Particle Interactions Open access

Andrea Shindler

0

citations