January 06, 2021 article Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks Computational Mechanics DOI: 10.1007/s00466-020-01952-9 OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 501 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 ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data 2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access cited by 1 patent 4 citations Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation 2023 Robotics and Computer-Integrated Manufacturing article Engineering Digital Transformation in Industry Open access 115 citations Physics-Based Self-Learning Recurrent Neural Network enhanced time integration scheme for computing viscoplastic structural finite element response 2022 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks 31 citations Modeling and simulation of microstructure in metallic systems based on multi-physics approaches 2022 npj Computational Materials article Materials Science Microstructure and mechanical properties Open access 37 citations Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning 2022 Journal of Intelligent Manufacturing book-chapter Engineering Additive Manufacturing Materials and Processes Open access 59 citations 5 results References 0