| Self-adaptive physics-informed neural networks using a soft attention mechanism L McClenny, U Braga-Neto arXiv preprint arXiv:2009.04544, 2020 | 314* | 2020 |
| Semi-supervised learning approaches to class assignment in ambiguous microstructures C Kunselman, V Attari, L McClenny, U Braga-Neto, R Arroyave Acta Materialia 188, 49-62, 2020 | 34 | 2020 |
| Physics-informed neural networks with adaptive localized artificial viscosity EJR Coutinho, M Dall'Aqua, L McClenny, M Zhong, U Braga-Neto, ... Journal of Computational Physics 489, 112265, 2023 | 28 | 2023 |
| BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems LD Mcclenny, M Imani, UM Braga-Neto BMC bioinformatics 18, 1-8, 2017 | 27 | 2017 |
| Boolean Kalman filter with correlated observation noise LD McClenny, M Imani, UM Braga-Neto 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 26 | 2017 |
| BoolFilter package vignette LD McClenny, M Imani, U Braga-Neto The Comprehensive R Archive Network (CRAN), 2017 | 22 | 2017 |
| TensorDiffEq: scalable multi-GPU forward and inverse solvers for physics informed neural networks LD McClenny, MA Haile, UM Braga-Neto arXiv preprint arXiv:2103.16034, 2021 | 20 | 2021 |
| Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism. arXiv 2020 L McClenny, U Braga-Neto arXiv preprint arXiv:2009.04544, 0 | 10 | |
| Experimentally validated multiphysics modeling of fracture induced by thermal shocks in sintered UO2 pellets LD McClenny, MI Butt, MG Abdoelatef, MJ Pate, KL Yee, R Harikrishnan, ... Journal of Nuclear Materials 565, 153719, 2022 | 6 | 2022 |
| Self-adaptive physics informed neural networks using a soft attention mechanism, 2020 L McClenny, U Braga-Neto arXiv preprint arXiv:2009.04544, 2009 | 6 | 2009 |
| Using physics informed neural networks for supernova radiative transfer simulation X Chen, DJ Jeffery, M Zhong, L McClenny, U Braga-Neto, L Wang arXiv preprint arXiv:2211.05219, 2022 | 3 | 2022 |
| Deep multimodal transfer-learned regression in data-poor domains L McClenny, M Haile, V Attari, B Sadler, U Braga-Neto, R Arroyave arXiv preprint arXiv:2006.09310, 2020 | 3 | 2020 |
| Tempered Hardness Optimization of Martensitic Alloy Steels HA Murdoch, DM Field, BA Szajewski, LD McClenny, A Garza, ... Integrating Materials and Manufacturing Innovation 12 (4), 301-320, 2023 | | 2023 |
| Convergence, Adaptivity, and Applications of Physics-Informed Machine Learning LD McClenny Texas A&M University, 2022 | | 2022 |
| Package ‘BoolFilter’ L McClenny, M Imani, U Braga-Neto, ML McClenny | | 2017 |
| Optimal State Estimation for Partially Observed Boolean Dynamical Systems in the Presence of Correlated Observation Noise LD McClenny | | 2016 |
Ulisses Braga-NetoProfessor of Electrical and Computer Engineering, Texas A&M UniversityVerified email at ece.tamu.edu
