March 25, 2021 article Open access A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications Engineering Applications of Artificial Intelligence DOI: 10.1016/j.engappai.2021.104232 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 7 stored of 460 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 Tackling multiphysics problems via finite element guided physics-informed operator learning 2026 Results in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access 2 citations A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains 2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access 39 citations Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests 2024 Smart Materials and Structures article Materials Science Shape Memory Alloy Transformations Open access 7 citations Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight 2024 Energy and Buildings article Engineering Building Energy and Comfort Optimization Open access 20 citations Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight 2023 arXiv (Cornell University) preprint Engineering Building Energy and Comfort Optimization Open access 0 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 7 results References 0