Gaussian process-based prognostics of lithium-ion batteries and design optimization of cathode active materials H Valladares, T Li, L Zhu, H El-Mounayri, AM Hashem, AE Abdel-Ghany, ... Journal of Power Sources 528, 231026, 2022 | 25 | 2022 |
Surrogate-based global optimization of composite material parts under dynamic loading H Valladares, A Jones, A Tovar SAE Technical Paper, 2018 | 20 | 2018 |
Optimization of chessboard scanning strategy using genetic algorithm in multi-laser additive manufacturing process E Malekipour, H Valladares, Y Shin, H El-Mounayri ASME international mechanical engineering congress and exposition 84485 …, 2020 | 18 | 2020 |
Design optimization of sandwich composite armors for blast mitigation using bayesian optimization with single and multi-fidelity data H Valladares, A Tovar SAE Technical Paper, 2020 | 16 | 2020 |
A simple and effective methodology to perform multi-objective Bayesian optimization: An application in the design of sandwich composite armors for blast mitigation H Valladares, A Tovar International Design Engineering Technical Conferences and Computers and …, 2020 | 11 | 2020 |
Multilevel design of sandwich composite armors for blast mitigation using bayesian optimization and non-uniform rational b-splines H Valladares, A Tovar | 8 | 2021 |
Multi-objective Bayesian optimization of lithium-ion battery cells for electric vehicle operational scenarios A Gaonkar, H Valladares, A Tovar, L Zhu, H El-Mounayri Electronic Materials 3 (2), 201-217, 2022 | 6 | 2022 |
Bayesian Optimization of Active Materials for Lithium-ion Batteries H Valladares, T Li, L Zhu, H El-Mounayri, A Hashem, AE Abdel-Ghany, ... SAE Technical Paper, 2021 | 6 | 2021 |
Nonlinear multi-fidelity bayesian optimization: An application in the design of blast mitigating structures H Valladares, A Tovar SAE International, 2022 | 4 | 2022 |
Multi-Objective Bayesian Optimization Supported by Gaussian Process Classifiers and Conditional Probabilities H Valladares, A Tovar International Design Engineering Technical Conferences and Computers and …, 2022 | 3 | 2022 |
Multiscale topology optimization with Gaussian process regression models JC Najmon, H Valladares, A Tovar International Design Engineering Technical Conferences and Computers and …, 2021 | 2 | 2021 |
Design of a Crease Pattern for Pre-Folded Origami Structures to Improve Vehicle Crashworthiness P Chaudhari, H Valladares, A Tovar SAE Technical Paper, 2023 | 1 | 2023 |
Predicting Temperature Field in Powder-Bed Fusion (PBF) Additive Manufacturing Process Using Radial Basis Neural Network (RBNN) E Malekipour, H Valladares, S Jahan, Y Shin, H El-Mounayri Thermomechanics & Infrared Imaging, Inverse Problem Methodologies, Mechanics …, 2022 | 1 | 2022 |
Structural Optimization of Thin-Walled Tubular Structures for Progressive Collapse Using Hybrid Cellular Automaton with a Prescribed Response Field H Valladares, J Najmon, A Tovar SAE Technical Paper, 2019 | 1 | 2019 |
Multi-Objective Bayesian Optimization Supported by an Expected Pareto Distance Change H Valladares, A Tovar Journal of Mechanical Design 145 (10), 101705, 2023 | | 2023 |
MULTI-FIDELITY MODELING AND MULTI-OBJECTIVE BAYESIAN OPTIMIZATION SUPPORTED BY COMPOSITIONS OF GAUSSIAN PROCESSES HSV Guerra Purdue University Graduate School, 2023 | | 2023 |
Multi-Objective Bayesian Optimization Supported by Deep Gaussian Processes H Valladares, A Tovar SAE Technical Paper, 2023 | | 2023 |
Multi-Objective Bayesian Optimization of Lithium-Ion Battery Cells A Gaonkar, H Valladares, H El-Mounayri, L Zhu, A Tovar SAE Technical Paper, 2022 | | 2022 |
Optimization of Chessboard Scanning Strategy Using a Genetic Algorithm in Multi-laser Metal Additive Manufacturing Process E Malekipour, H Valladares, Y Shin, H El-Mounayri | | |
Predicting Temperature Field in PBF process Using Radial Basis Neural Network (RBNN) E Malekipour, H Valladares, S Jahan, Y Shin, H El-Mounayri | | |