Mohammed Al‐Fahdi

Physics guided deep learning for generative design of crystal materials with symmetry constraints

Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Zhenyao Wu et al. · npj Computational Materials · 2023 · 99 citations · Full text

High-Throughput Computation of New Carbon Allotropes with Diverse Hybridization and Ultrahigh Hardness

Mohammed Al‐Fahdi, Alejandro Rodriguez, Tao Ouyang et al. · Crystals · 2021 · 77 citations · Full text

Materials Science, Carbonization, Engineering +15

High-throughput computation of novel ternary B–C–N structures and carbon allotropes with electronic-level insights into superhard materials from machine learning

Mohammed Al‐Fahdi, Tao Ouyang, Ming Hu · Journal of Materials Chemistry A · 2021 · 38 citations

Materials Science, Materials Engineering, Superhard Materials +14

Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table

Alejandro Rodriguez, Changpeng Lin, Hong-Ao Yang et al. · npj Computational Materials · 2023 · 29 citations · Full text

Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach

Alejandro Rodriguez, Changpeng Lin, Chen Shen et al. · Communications Materials · 2023 · 26 citations · Full text