April 15, 2021 preprint Open access The mixed deep energy method for resolving concentration features in finite strain hyperelasticity arXiv (Cornell University) DOI: 10.1016/j.jcp.2021.110839 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 10 stored of 163 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A new set of test functions for variational physics-informed neural networks in solid mechanics 2026 Journal of Computational Physics article Physics and Astronomy Model Reduction and Neural Networks Open access 0 citations Accelerating Computation of Sealing Deformation—A Physics-Informed Neural Network Framework for Hyperelastic Deformation 2026 Lecture notes in computational science and engineering conference-paper Physics and Astronomy Model Reduction and Neural Networks 0 citations Finite Operator Learning: Bridging neural operators and numerical methods for efficient parametric solution and optimization of PDEs 2025 Finite Elements in Analysis and Design article Physics and Astronomy Model Reduction and Neural Networks 10 citations Advancing deformation calculation: a physics-informed deep graph learning framework for hyperelastic materials 2025 Advanced Modeling and Simulation in Engineering Sciences article Physics and Astronomy Model Reduction and Neural Networks Open access 3 citations A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations 2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 27 citations Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks 2024 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks 82 citations Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains 2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 98 citations On the order of derivation in the training of physics-informed neural networks: case studies for non-uniform beam structures 2023 Acta Mechanica article Physics and Astronomy Model Reduction and Neural Networks 25 citations A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: Comparison with finite element method 2022 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 12 citations A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method 2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access 216 citations 10 results References 0