Pre-onlines

An optimized strategy for density prediction of intermetallics across varied crystal structures via graph neural network

Dexin Zhu, Mingshuo Nie, Hong-Hui Wu, Chunlei Shang, Jiaming Zhu, Xiaoye Zhou, Yuan Zhu, Feiyang Wang, Binbin Wang, Shuize Wang, Junheng Gao, Haitao Zhao, Chaolei Zhang, Xinping Mao

DOI: 10.20517/jmi.2024.76 3 Jan 2025

Interpretable model of dielectric constant for rational design of microwave dielectric materials: a machine learning study

Ye Sheng, Yabei Wu, Chang Jiang, Xiaowen Cui, Yuanqing Mao, Caichao Ye, Wenqing Zhang

DOI: 10.20517/jmi.2024.75 3 Jan 2025

Interpretable physics-informed machine learning approaches to accelerate electrocatalyst development

Hao Wu, Mingxuan Chen, Hao Cheng, Tong Yang, Minggang Zeng, Ming Yang

DOI: 10.20517/jmi.2024.67 3 Jan 2025

Design of Fe₂Mo@γ-GDY triatomic catalyst for electrocatalytic urea synthesis of N₂ and CO: a theoretical study

Linyuan Chi, Tonghui Wang, Qing Jiang

DOI: 10.20517/jmi.2024.49 3 Jan 2025

Unveiling defect physics in gapped metals: a theoretical investigation into defect formation and electronic structure interplay

Harshan Reddy Gopidi, Lovelesh Vashist, Oleksandr I. Malyi

DOI: 10.20517/jmi.2024.41 3 Jan 2025

An optimized strategy for density prediction of intermetallics across varied crystal structures via graph neural network

DOI: 10.20517/jmi.2024.76

Dexin Zhu, Mingshuo Nie, Hong-Hui Wu, Chunlei Shang, Jiaming Zhu, Xiaoye Zhou, Yuan Zhu, Feiyang Wang, Binbin Wang, Shuize Wang, Junheng Gao, Haitao Zhao, Chaolei Zhang, Xinping Mao

Interpretable model of dielectric constant for rational design of microwave dielectric materials: a machine learning study

DOI: 10.20517/jmi.2024.75

Ye Sheng, Yabei Wu, Chang Jiang, Xiaowen Cui, Yuanqing Mao, Caichao Ye, Wenqing Zhang

Interpretable physics-informed machine learning approaches to accelerate electrocatalyst development

DOI: 10.20517/jmi.2024.67

Hao Wu, Mingxuan Chen, Hao Cheng, Tong Yang, Minggang Zeng, Ming Yang

Design of Fe₂Mo@γ-GDY triatomic catalyst for electrocatalytic urea synthesis of N₂ and CO: a theoretical study

DOI: 10.20517/jmi.2024.49

Linyuan Chi, Tonghui Wang, Qing Jiang

Unveiling defect physics in gapped metals: a theoretical investigation into defect formation and electronic structure interplay

DOI: 10.20517/jmi.2024.41

Harshan Reddy Gopidi, Lovelesh Vashist, Oleksandr I. Malyi

Pre-onlines

An optimized strategy for density prediction of intermetallics across varied crystal structures via graph neural network

Interpretable model of dielectric constant for rational design of microwave dielectric materials: a machine learning study

Interpretable physics-informed machine learning approaches to accelerate electrocatalyst development

Design of Fe₂Mo@γ-GDY triatomic catalyst for electrocatalytic urea synthesis of N₂ and CO: a theoretical study

Unveiling defect physics in gapped metals: a theoretical investigation into defect formation and electronic structure interplay

Committee on Publication Ethics

Portico

Committee on Publication Ethics

Portico

Pre-onlines

An optimized strategy for density prediction of intermetallics across varied crystal structures via graph neural network

Interpretable model of dielectric constant for rational design of microwave dielectric materials: a machine learning study

Interpretable physics-informed machine learning approaches to accelerate electrocatalyst development

Design of Fe2Mo@γ-GDY triatomic catalyst for electrocatalytic urea synthesis of N2 and CO: a theoretical study

Unveiling defect physics in gapped metals: a theoretical investigation into defect formation and electronic structure interplay

Committee on Publication Ethics

Portico

Committee on Publication Ethics

Portico

Design of Fe₂Mo@γ-GDY triatomic catalyst for electrocatalytic urea synthesis of N₂ and CO: a theoretical study