| A tutorial on solving ordinary differential equations using Python and hybrid physics-informed neural network RG Nascimento, K Fricke, FAC Viana Engineering Applications of Artificial Intelligence 96, 103996, 2020 | 101 | 2020 |
| Quadcopter control optimization through machine learning R Giorgiani do Nascimento, K Fricke, F Viana AIAA Scitech 2020 Forum, 1148, 2020 | 11 | 2020 |
| Quadcopter soft vertical landing control with hybrid physics-informed machine learning K Fricke, R Giorgiani do Nascimento, F Viana AIAA Scitech 2021 Forum, 1018, 2021 | 8 | 2021 |
| An accelerated life testing dataset for lithium-ion batteries with constant and variable loading conditions K Fricke, R Nascimento, M Corbetta, C Kulkarni, F Viana International Journal of Prognostics and Health Management 14 (2), 2023 | 2 | 2023 |
| Prognosis of Li-ion Batteries Under Large Load Variations Using Hybrid Physics-Informed Neural Networks K Fricke, R Nascimento, M Corbetta, C Kulkarni, F Viana Annual Conference of the PHM Society 15 (1), 2023 | | 2023 |
| Modeling and Experimental Validation of Mission-Specific Prognosis of Li-Ion Batteries with Hybrid Physics-Informed Neural Networks K Fricke | | 2023 |
| Hybrid Physics-Informed Neural Networks for Prognosis and Fleet Management of Li-Ion Batteries Under Large Load Variations K Fricke, RG Nascimento, M Corbetta, C Kulkarni, F Viana Available at SSRN 4672043, 0 | | |
Renato G. NascimentoAI Applied Scientist在 intel.com 的电子邮件经过验证
