| High‐throughput discovery of novel cubic crystal materials using deep generative neural networks Y Zhao, M Al‐Fahdi, M Hu, EMD Siriwardane, Y Song, A Nasiri, J Hu Advanced Science 8 (20), 2100566, 2021 | 109 | 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 | 51 | 2021 |
| Physics guided deep learning for generative design of crystal materials with symmetry constraints Y Zhao, EMD Siriwardane, Z Wu, N Fu, M Al-Fahdi, M Hu, J Hu npj Computational Materials 9 (1), 38, 2023 | 46 | 2023 |
| High-throughput computation of novel ternary B–C–N structures and carbon allotropes with electronic-level insights into superhard materials from machine learning M Al-Fahdi, T Ouyang, M Hu Journal of Materials Chemistry A 9 (48), 27596-27614, 2021 | 37 | 2021 |
| Phonon transport anomaly in metavalent bonded materials: contradictory to the conventional theory M Al-Fahdi, X Zhang, M Hu Journal of Materials Science 56, 18534-18549, 2021 | 24 | 2021 |
| 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 | 18 | 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 | 17 | 2023 |
| Experimental and computational characterization of glass microsphere-cementitious composites NR Scott, DL Stoddard, MD Nelms, Z Wallace, I Turner, L Turner, ... Cement and Concrete Research 152, 106671, 2022 | 17 | 2022 |
| Zintl Phase Compounds Mg3Sb2−x Bi x (x = 0, 1, and 2) Monolayers: Electronic, Phonon and Thermoelectric Properties From ab Initio Calculations Z Chang, J Ma, K Yuan, J Zheng, B Wei, M Al-Fahdi, Y Gao, X Zhang, ... Frontiers in Mechanical Engineering 8, 876655, 2022 | 13 | 2022 |
| Anomalous thermal conductivity induced by high dispersive optical phonons in rubidium and cesium halides Z Chang, K Yuan, J Li, Z Sun, J Zheng, M Al-Fahdi, Y Gao, B Wei, ... ES Energy & Environment 16, 30-39, 2022 | 12 | 2022 |
| 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 | 11 | 2022 |
| High-throughput thermoelectric materials screening by deep convolutional neural network with fused orbital field matrix and composition descriptors M Al-Fahdi, K Yuan, Y Yao, R Rurali, M Hu Applied Physics Reviews 11 (2), 2024 | 10 | 2024 |
| Graph theory and graph neural network assisted high-throughput crystal structure prediction and screening for energy conversion and storage J Ojih, M Al-Fahdi, Y Yao, J Hu, M Hu Journal of Materials Chemistry A 12 (14), 8502-8515, 2024 | 9 | 2024 |
| High throughput substrate screening for interfacial thermal management of β-Ga2O3 by deep convolutional neural network M Al-Fahdi, M Hu Journal of Applied Physics 135 (20), 2024 | 3 | 2024 |
| Syntheses and crystal structures of four new d0 transition metal tellurites J Ling, OY Raji, H Peng, Z Weng, I Bao, C Jones, A Malone, TL Spano, ... Journal of Solid State Chemistry 343, 125143, 2025 | | 2025 |
| Rapid prediction of phonon density of states by crystal attention graph neural network and high-throughput screening of candidate substrates for wide bandgap electronic cooling M Al-Fahdi, C Lin, C Shen, H Zhang, M Hu Materials Today Physics 50, 101632, 2025 | | 2025 |
| Accelerating Discovery of Extreme Lattice Thermal Conductivity by Crystal Attention Graph Neural Network (CATGNN) Using Chemical Bonding Intuitive Descriptors M Al-Fahdi, R Rurali, J Hu, C Wolverton, M Hu arXiv preprint arXiv:2410.16066, 2024 | | 2024 |
| Correction: Graph theory and graph neural network assisted high-throughput crystal structure prediction and screening for energy conversion and storage J Ojih, M Al-Fahdi, Y Yao, J Hu, M Hu Journal of Materials Chemistry A 12 (27), 16929-16929, 2024 | | 2024 |
| Rapid Prediction of Phonon Density of States by Graph Neural Network and High-Throughput Screening of Candidate Substrates for Wide Bandgap Electronic Cooling MSA Al-Fahdi | | 2023 |
Ming HuUniversity of South CarolinaVerifierad e-postadress på sc.edu