| Thermodynamic and Transport Properties of LiF and FLiBe Molten Salts with Deep Learning Potentials A Rodriguez, S Lam, M Hu ACS Applied Materials & Interfaces 13 (46), 55367–55379, 2021 | 77 | 2021 |
| High-throughput computation of new carbon allotropes with diverse hybridization and ultrahigh hardness M Al-Fahdi, A Rodriguez, T Ouyang, M Hu Crystals 11 (7), 783, 2021 | 46 | 2021 |
| Spatial density neural network force fields with first-principles level accuracy and application to thermal transport A Rodriguez, Y Liu, M Hu Physical Review B 102 (3), 035203, 2020 | 36 | 2020 |
| Predicting lattice thermal conductivity from fundamental material properties using machine learning techniques G Qin, Y Wei, L Yu, J Xu, J Ojih, AD Rodriguez, H Wang, Z Qin, M Hu Journal of Materials Chemistry A 11 (11), 5801-5810, 2023 | 23 | 2023 |
| Machine learning accelerated discovery of promising thermal energy storage materials with high heat capacity J Ojih, U Onyekpe, A Rodriguez, J Hu, C Peng, M Hu ACS applied materials & interfaces 14 (38), 43277-43289, 2022 | 18 | 2022 |
| Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table A Rodriguez, C Lin, H Yang, M Al-Fahdi, C Shen, K Choudhary, Y Zhao, ... npj Computational Materials 9 (1), 20, 2023 | 15 | 2023 |
| Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach A Rodriguez, C Lin, C Shen, K Yuan, M Al-Fahdi, X Zhang, H Zhang, ... Communications Materials 4 (1), 61, 2023 | 14 | 2023 |
| Screening outstanding mechanical properties and low lattice thermal conductivity using global attention graph neural network J Ojih, A Rodriguez, J Hu, M Hu Energy and AI 14, 100286, 2023 | 13 | 2023 |
| Thickness‐Dependent Thermal Conductivity and Phonon Mean Free Path Distribution in Single‐Crystalline Barium Titanate A Negi, A Rodriguez, X Zhang, AH Comstock, C Yang, D Sun, X Jiang, ... Advanced Science 10 (19), 2301273, 2023 | 11 | 2023 |
| Efficiently searching extreme mechanical properties via boundless objective-free exploration and minimal first-principles calculations J Ojih, M Al-Fahdi, AD Rodriguez, K Choudhary, M Hu npj Computational Materials 8 (1), 143, 2022 | 10 | 2022 |
| High-throughput computational discovery of 3218 ultralow thermal conductivity and dynamically stable materials by dual machine learning models J Ojih, C Shen, A Rodriguez, H Zhang, K Choudhary, M Hu Journal of Materials Chemistry A 11 (44), 24169-24183, 2023 | 5 | 2023 |
| Ab Initio Energetic Barriers of Gas Permeation across Nanoporous Graphene A Rodriguez, KP Schlichting, D Poulikakos, M Hu ACS Applied Materials & Interfaces 13 (33), 39701-39710, 2021 | 5 | 2021 |
| Anti-bonding mediated record low and comparable-to-air lattice thermal conductivity of two metallic crystals Z Yang, W Ning, A Rodriguez, L Lu, J Wang, Y Yao, K Yuan, M Hu Journal of Materials Chemistry C 11 (44), 15657-15668, 2023 | 3 | 2023 |
| Development of Atomistic Machine Learning Approaches for Thermal Properties of Multi-Component Solids and Liquids AD Rodriguez University of South Carolina, 2023 | | 2023 |
| Genetic programming-based learning of carbon interatomic potential for materials discovery A Eldridge, A Rodriguez, M Hu, J Hu arXiv preprint arXiv:2204.00735, 2022 | | 2022 |
| Energy and AI J Ojih, A Rodriguez, J Hu, M Hu | | |
Ming HuUniversity of South Carolina在 sc.edu 的电子邮件经过验证
