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J

Joshua Ojih

Mechanical Engineering

H指数:6

被引数:150

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Approaching lower bound of lattice thermal conductivity by simultaneously suppressing diagonal and off-diagonal phonon contributions

通过同时抑制对角和非对角声子贡献来接近晶格热导率下限

npj Computational Materials

IF11.9

2026-02-200

OAAI

Machine-learning-assisted discovery of lattice dynamics signatures of sodium superionic conductors

机器学习辅助发现钠超离子导体的晶格动力学特征

IF10.7

2025-09-180

OA

Graph theory and graph neural network assisted high-throughput crystal structure prediction and screening for energy conversion and storage

JOURNAL OF MATERIALS CHEMISTRY A

IF9.5

2024-01-015

OA

Graph theory and graph neural network assisted high-throughput crystal structure prediction and screening for energy conversion and storage (vol 12, pg 8502, 2024)

JOURNAL OF MATERIALS CHEMISTRY A

IF9.5

2024-01-010

OA

Screening outstanding mechanical properties and low lattice thermal conductivity using global attention graph neural network

IF9.6

2023-10-0110

OAAI

Predicting lattice thermal conductivity from fundamental material properties using machine learning techniques

JOURNAL OF MATERIALS CHEMISTRY A

IF9.5

2023-01-0121

PRE

High-throughput computational discovery of 3218 ultralow thermal conductivity and dynamically stable materials by dual machine learning models

JOURNAL OF MATERIALS CHEMISTRY A

IF9.5

2023-01-016

PRE

Machine Learning Accelerated Discovery of Promising Thermal Energy Storage Materials with High Heat Capacity

机器学习加速发现具有高热容量的有前途的热能储存材料

ACS APPLIED MATERIALS & INTERFACES

IF8.2

2022-09-1513

PRE

Efficiently searching extreme mechanical properties via boundless objective-free exploration and minimal first-principles calculations

NPJ COMPUTATIONAL MATERIALS

IF11.9

2022-07-048

OA