July 21, 2021 article Open access A nonlocal physics-informed deep learning framework using the peridynamic differential operator Computer Methods in Applied Mechanics and Engineering DOI: 10.1016/j.cma.2021.114012 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 146 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 Introducing sustainable neuromorphic computing in Engineering Mechanics 2026 npj Artificial Intelligence article Engineering Advanced Memory and Neural Computing Open access 0 citations Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis 2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access 12 citations Physics-Based Self-Learning Spiking Neural Network enhanced time-integration scheme for computing viscoplastic structural finite element response 2024 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 13 citations 3D multi-physics uncertainty quantification using physics-based machine learning 2022 Scientific Reports article Physics and Astronomy Model Reduction and Neural Networks Open access 30 citations 4 results References 0