Noori, Keian

1. Predicting ionic conductivity in solids from the machine-learned potential energy landscape
   2024/11/11 by Maevskiy, Artem, Carvalho, Alexandra, Sataev, Emil +5 · 2 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
2. Atomically-precise Vacancy-assembled Quantum Antidots
   2023/05/06 by Hanyan Fang, Fang, Hanyan, Harshitra Mahalingam +35 · 1 citation
   Materials Science · Physics and Astronomy · #2D Materials and Applications #Advanced Thermoelectric Materials and Devices #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Topological Materials and Phenomena
3. Open Molecular Crystals 2025 (OMC25) Dataset and Models
   2025/08/04 by Gharakhanyan, Vahe, Barroso-Luque, Luis, Yang, Yi +16 · 5 citations
   #Chemical Physics (physics.chem-ph) #FOS: Physical sciences