受强制性开放获取政策约束的文章 - Joshua Ojih了解详情
可在其他位置公开访问的文章：5 篇
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
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
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
强制性开放获取政策： US National Science Foundation, US National Aeronautics and Space Administration
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
强制性开放获取政策： US National Science Foundation, US National Aeronautics and Space Administration
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
强制性开放获取政策： US National Science Foundation, US National Aeronautics and Space Administration
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
强制性开放获取政策： US National Science Foundation, US National Aeronautics and Space Administration
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