Francisco Chinesta
ScholarGPS® ID: 59115636874921
Affiliation History
Discipline
Civil and Environmental Engineering
Metrics Summary
Publication Count
695
Predicted Citations
14,178
Predicted h-index
57
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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Structure-preserving formulations for data-driven analysis of coupled multi-physics systems (journal article) Computational Mechanics (2024). |
Multiscale Thermodynamics-Informed Neural Networks (MuTINN) towards fast and frugal inelastic computation of woven composite structures (journal article) Journal of the Mechanics and Physics of Solids, volume 186 (2024). |
Computational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling (journal article) Archives of Computational Methods in Engineering, volume 31, issue 4, pages 1897-1914 (2024). |
Optimal trajectory planning combining model-based and data-driven hybrid approaches (journal article) Advanced Modeling and Simulation in Engineering Sciences, volume 11, issue 1 (2024). |
Thermodynamics-Informed Graph Neural Networks (journal article) IEEE Transactions on Artificial Intelligence, volume 5, issue 3, pages 967-976 (2024). |
A new methodology for anisotropic yield surface description using model order reduction techniques and invariant neural network (journal article) Journal of the Mechanics and Physics of Solids, volume 184 (2024). |
Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks (journal article) Sensors, volume 24, issue 5, pages 1580- (2024). |
A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings (journal article) Advanced Modeling and Simulation in Engineering Sciences, volume 11, issue 1 (2024). |
Computation, volume 12, issue 2, pages 24- (2024). |
Optimal velocity planning based on the solution of the Euler-Lagrange equations with a neural network based velocity regression (journal article) Discrete and Continuous Dynamical Systems - S, volume 17, issue 7, pages 2323-2333 (2024). |
Open-Loop Control System for High Precision Extrusion-Based Bioprinting Through Machine Learning Modeling (journal article) Journal of Machine Engineering, volume 24, issue 1, pages 103-117 (2024). |
Simulation-Based Object Detector for Real-Time Defect Recognition on Industrial Infrastructures (conference) 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2023) Nadi, Fiji |
NURBS-based shape parametrization enabling PGD-based space separability: Methodology and application (journal article) Finite Elements in Analysis and Design, volume 227 (2023). |
Thermodynamics of Learning Physical Phenomena (journal article) Archives of Computational Methods in Engineering, volume 30, issue 8, pages 4653-4666 (2023). |
ASME 2023 International Mechanical Engineering Congress and Exposition (2023) New Orleans, Louisiana, USA |
Prediction of cross-sectional features of SPR joints based on the punch force-displacement curve using machine learning (journal article) The International Journal of Advanced Manufacturing Technology, volume 128, issue 9-10, pages 4023-4034 (2023). |
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems (journal article) Computational Mechanics, volume 72, issue 3, pages 553-561 (2023). |
A thermodynamics-informed active learning approach to perception and reasoning about fluids (journal article) Computational Mechanics, volume 72, issue 3, pages 577-591 (2023). |
Applied Sciences, volume 13, issue 17, pages 9616- (2023). |
Application of PGD separation of space to create a reduced-order model of a lithium-ion cell structure (journal article) Frontiers in Materials, volume 10 (2023). |