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Papers matching “physics-based modeling” 49

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Distortion-aware physics-based impedance modeling of commercial Li-ion batteries under non-ideal excitation signals
2026 Electrochemistry Communications article Engineering Advanced Battery Technologies Research Open access

Xu Chen, Dmitri L. Danilov, Tobias Frahm, Florian Rittweger, Thorben Schüthe, Karl-Ragmar Riemschneider, +5 more

2

citations
Proactive Fault Detection in EV Batteries Via Hybrid Method: Cell-to-Cell Variation Pattern and Physics-Based Model Insights
2026 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Advanced Battery Technologies Research

Bharat Jawle, Ashwin Selvakumar, Nagaraj Kumar Puttoji Rao

0

citations
An inductive extension of the physics-based model for lithium-ion batteries under fast and non-periodic current excitation
2026 Electrochimica Acta article Engineering Advanced Battery Technologies Research Open access

Xiaoxuan Chen, Dmitri L. Danilov, Luc H.J. Raijmakers, Rüdiger‐A. Eichel

1

citations
Distortion-aware physics-based impedance modeling of commercial Li-ion batteries under non-ideal excitation signals
2026 Electrochemistry Communications article Engineering Advanced Battery Technologies Research Open access

Xiaoxuan Chen, Dmitri L. Danilov, Tobias Frahm, Florian Rittweger, Thorben Schüthe, Karl-Ragmar Riemschneider, +4 more

0

citations
Distortion-aware physics-based impedance modeling of commercial Li-ion batteries under non-ideal excitation signals
2026 Electrochemistry Communications article Engineering Advanced Battery Technologies Research Open access

Xiaoxuan Chen, Dmitri L. Danilov, Tobias Frahm, Florian Rittweger, Thorben Schüthe, Karl-Ragmar Riemschneider, +5 more

0

citations
Physics-based electrochemical modelling of Li-ion batteries
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Advanced Battery Technologies Research Open access

Haider Adel Ali Ali

0

citations
Meta-learning Hybrid Spiking networks as physics-based nonlinear solvers for physical simulations
2026 npj Unconventional Computing article Engineering Advanced Memory and Neural Computing Open access

Saurabh Balkrishna Tandale, Marcus Stoffel

1

citations
Analysis of Aging, Electrochemical Performance and Physics-Based Models of a Commercial Na₄Fe₃(PO₄)₂P₂O₇ Sodium-Ion Battery
2026 ECS Meeting Abstracts conference-abstract Engineering Advanced Battery Technologies Research

Moritz Schütte, Katharina Lillith Quade, Caroline Kümmel, Jonas Rinner, Luís Gouveia, Patrick Hoffmann, +5 more

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
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Model Reduction and Neural Networks Open access

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

0

citations
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Model Reduction and Neural Networks Open access

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

0

citations
Phenomenological and Physically Based Modeling of Flow Stress and Strengthening Mechanism of Inconel 718
2026 Advanced Engineering Materials article Engineering High Temperature Alloys and Creep Open access

Soheil Rooein, Oliver Schenk, Christoph Broeckmann

0

citations
Modeling and simulation of electrochemical metallization memory cells for neuromorphic passive crossbar architecture
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Advanced Memory and Neural Computing Open access

Rana Walied Ahmad

0

citations
Advancing ML-Based Thermal Hydrodynamic Lubrication: A Data-Free Physics-Informed Deep Learning Framework Solving Temperature-Dependent Lubricated Contact Simulations
2026 Lubricants article Physics and Astronomy Model Reduction and Neural Networks Open access

Faras Brumand‐Poor, Georg Michael Puntigam, Marius Hofmeister, Katharina Schmitz

0

citations
A perspective on component-level digital twins for surface marine propulsion system health monitoring: need and feasibility
2026 Digital Twin article Engineering Digital Transformation in Industry Open access

Mihiran Galagedarage Don, Ghazanfar Mehdi, Riku Ala-Laurinaho, Mikko Suominen, Mashrura Musharraf, Osiris Alejandro Valdez Banda, +5 more

0

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
Concrete fatigue modeling and characterization across scales: lattice-discrete and microplane models rooted in a unified dissipative hypothesis
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Fatigue and fracture mechanics Open access

Mario Aguilar

0

citations
Investigation of hybrid modeling approaches for quality predictions in the injection molding process
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Injection Molding Process and Properties Open access

Manuel Wenzel

0

citations
Interpretable Machine Learning for Feature-Based Classification of Platelet Activation in Rotary Blood Pumps
2026 Cardiovascular Engineering and Technology article Engineering Mechanical Circulatory Support Devices Open access

Christopher Blum, Michael Neidlin

1

citations
Towards Operational AI-based Flood Forecasting using Deep Data Assimilation of Multi-source Earth Observations
2026 conference-abstract Environmental Science Flood Risk Assessment and Management Open access

Ramesh Visweshwaran, Antara Dasgupta

0

citations
Accelerating greenhouse gas retrievals with neural network-based forward models
2026 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Fiona Lippert, Andrew Gerald Barr, Marcos Herreras-Giralda, Masahiro Momoi, Fernando Rejano, Sha Lu, +4 more

0

citations
Part-mass control in injection molding of recycled thermoplastics by learning-enabled model predictive cavity-pressure control
2026 Journal of Process Control article Engineering Advanced Control Systems Optimization Open access

Robert Göllinger, Moritz Mascher, Christopher Schulte, Philipp Schubert, Christian Hopmann, Heike Vallery, +1 more

1

citations
Data-driven modeling and optimization of anode-side structural, transport and electrochemical properties in PEM water electrolyzers
2026 Applied Energy article Engineering Fuel Cells and Related Materials Open access

K. Ashoke Raman, Linus Hammacher, Violeta Karyofylli, Hans Kungl, André Karl, Eva Jodat, +1 more

0

citations
High-dimensional predictions for impact-based risk analysis of geohazards
2026 conference-abstract Environmental Science Landslides and related hazards Open access

Chia-Hao Chang, Anil Yıldiz, Julia Kowalski

0

citations
A Lightweight Solar Activity Prediction Model compatible with CubeSat
2026 conference-abstract Physics and Astronomy Solar and Space Plasma Dynamics Open access

Snehasri Ravishankar, Ballekere Thippeswamy Ravishankar, M. Sudhakar, Ramson Munyaradzi Nyamukondiwa, Bernard H. Foing

0

citations