Most Cited Papers In Last Two Years

Open Access Research Article

Available online: 21 Dec 2022

Open Access Research Article

Identifying stress-induced heterogeneity in Cu₂₀Zr₂₀Ni₂₀Ti₂₀Pd₂₀ high-entropy metallic glass from machine learning atomic dynamics

DOI: 10.20517/jmi.2022.29

Xiaodi Liu

, ... Jun Shen

This article belongs to the Special Issue Topic: Machine Learning Approach for Design, Development and Application of High Entropy Materials

Available online: 21 Dec 2022

Open Access Review

Available online: 21 Nov 2022

Open Access Review

High-entropy alloy catalysts: high-throughput and machine learning-driven design

DOI: 10.20517/jmi.2022.23

Lixin Chen, ... Yu Zou

This article belongs to the Special Issue Topic: Machine Learning Approach for Design, Development and Application of High Entropy Materials

Available online: 21 Nov 2022

Open Access Review

Available online: 16 Nov 2022

Open Access Review

New trends in additive manufacturing of high-entropy alloys and alloy design by machine learning: from single-phase to multiphase systems

DOI: 10.20517/jmi.2022.27

Yinghao Zhou, ... Tao Yang

This article belongs to the Special Issue Topic: Machine Learning Approach for Design, Development and Application of High Entropy Materials

Available online: 16 Nov 2022

Open Access Research Article

Available online: 30 Oct 2022

Open Access Research Article

A metadata schema for lattice thermal conductivity from first-principles calculations

DOI: 10.20517/jmi.2022.20

Yongchao Rao

, ... Hong Wang

Available online: 30 Oct 2022

Open Access Review

Available online: 8 Oct 2022

Open Access Review

Process parameter optimization of metal additive manufacturing: a review and outlook

DOI: 10.20517/jmi.2022.18

Hou Yi Chia, ... Wentao Yan

Available online: 8 Oct 2022

Open Access Research Article

Available online: 19 Sep 2022

Open Access Research Article

Machine learning-accelerated first-principles predictions of the stability and mechanical properties of L1₂-strengthened cobalt-based superalloys

DOI: 10.20517/jmi.2022.22

Shengkun Xi, ... Xingjun Liu

Available online: 19 Sep 2022

Open Access Review

Available online: 15 Sep 2022

Open Access Review

A mini review of machine learning in inorganic phosphors

DOI: 10.20517/jmi.2022.21

Lipeng Jiang, ... Yanjing Su

Available online: 15 Sep 2022

Open Access Research Article

Available online: 1 Sep 2022

Open Access Research Article

CuB monolayer: a novel 2D anti-van’t Hoff/Le Bel nanostructure with planar hyper-coordinate boron/copper and superconductivity

DOI: 10.20517/jmi.2022.10

Kaixiong Tu, ... Zhongfang Chen

Available online: 1 Sep 2022

Open Access Viewpoints

Available online: 28 Aug 2022

Open Access Viewpoints

Additive manufacturing as a tool for high-throughput experimentation

DOI: 10.20517/jmi.2022.19

Wei Xiong

Available online: 28 Aug 2022

Open Access Research Article

Available online: 11 Aug 2022

Open Access Research Article

A thermodynamic database of the Ni-Mo-Re system

DOI: 10.20517/jmi.2022.15

Xiong-Hui Lei, ... Xiao-Gang Lu

Available online: 11 Aug 2022

Open Access Research Article

Available online: 18 Jul 2022

Open Access Research Article

Accurate experimental band gap predictions with multifidelity correction learning

DOI: 10.20517/jmi.2022.13

Pierre-Paul De Breuck, ... Gian-Marco Rignanese

Available online: 18 Jul 2022

Open Access Research Article

Available online: 10 Jul 2022

Open Access Research Article

High-cycle fatigue S-N curve prediction of steels based on a transfer learning-guided convolutional neural network

DOI: 10.20517/jmi.2022.12

Xiaolu Wei, ... Wei Xu

Available online: 10 Jul 2022

Open Access Research Article

Available online: 22 Jun 2022

Open Access Research Article

Estimating the performance of a material in its service space via Bayesian active learning: a case study of the damping capacity of Mg alloys

DOI: 10.20517/jmi.2022.06

Bofeng Shi, ... Dezhen Xue

Available online: 22 Jun 2022

Open Access Review

Available online: 21 Jun 2022

Open Access Review

Recent progress in the data-driven discovery of novel photovoltaic materials

DOI: 10.20517/jmi.2022.07

Tian Lu, ... Tong-Yi Zhang

Available online: 21 Jun 2022

Open Access Research Article

Available online: 6 Jun 2022

Open Access Research Article

Giant rashba splitting of confined Te chains in nanotubes: the size-, chirality-, and type- effects of nanotubes

DOI: 10.20517/jmi.2022.08

Jie Han, ... Wang Gao

Available online: 6 Jun 2022

Open Access Research Article

Available online: 26 May 2022

Open Access Research Article

Structure-property modeling scheme based on optimized microstructural information by two-point statistics and principal component analysis

DOI: 10.20517/jmi.2022.05

Xiaobing Hu, ... Jincheng Wang

Available online: 26 May 2022

Open Access Research Article

Available online: 11 May 2022

Open Access Research Article

Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water

DOI: 10.20517/jmi.2022.04

Bin Cao, ... Tong-Yi Zhang

Available online: 11 May 2022

Open Access Research Article

Available online: 23 Mar 2022

Open Access Research Article

Accelerated development of hard high-entropy alloys with data-driven high-throughput experiments

DOI: 10.20517/jmi.2022.03

Yi Liu

, ... Jintao Shu

Available online: 23 Mar 2022

Open Access Review

Available online: 27 Feb 2022

Open Access Review

A critical review of the machine learning guided design of metallic glasses for superior glass-forming ability

DOI: 10.20517/jmi.2021.12

Ziqing Zhou, ... Yong Yang

Available online: 27 Feb 2022

Open Access Review

Available online: 22 Feb 2022

Open Access Review

Big data-assisted digital twins for the smart design and manufacturing of advanced materials: from atoms to products

DOI: 10.20517/jmi.2021.11

William-Yi Wang, ... Jinshan Li

Available online: 22 Feb 2022

Search Filter

Identifying stress-induced heterogeneity in Cu₂₀Zr₂₀Ni₂₀Ti₂₀Pd₂₀ high-entropy metallic glass from machine learning atomic dynamics

High-entropy alloy catalysts: high-throughput and machine learning-driven design

New trends in additive manufacturing of high-entropy alloys and alloy design by machine learning: from single-phase to multiphase systems

A metadata schema for lattice thermal conductivity from first-principles calculations

Process parameter optimization of metal additive manufacturing: a review and outlook

Machine learning-accelerated first-principles predictions of the stability and mechanical properties of L1₂-strengthened cobalt-based superalloys

A mini review of machine learning in inorganic phosphors

CuB monolayer: a novel 2D anti-van’t Hoff/Le Bel nanostructure with planar hyper-coordinate boron/copper and superconductivity

Additive manufacturing as a tool for high-throughput experimentation

A thermodynamic database of the Ni-Mo-Re system

Accurate experimental band gap predictions with multifidelity correction learning

High-cycle fatigue S-N curve prediction of steels based on a transfer learning-guided convolutional neural network

Estimating the performance of a material in its service space via Bayesian active learning: a case study of the damping capacity of Mg alloys

Recent progress in the data-driven discovery of novel photovoltaic materials

Giant rashba splitting of confined Te chains in nanotubes: the size-, chirality-, and type- effects of nanotubes

Structure-property modeling scheme based on optimized microstructural information by two-point statistics and principal component analysis

Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water

Accelerated development of hard high-entropy alloys with data-driven high-throughput experiments

A critical review of the machine learning guided design of metallic glasses for superior glass-forming ability

Big data-assisted digital twins for the smart design and manufacturing of advanced materials: from atoms to products

Committee on Publication Ethics

Portico

Committee on Publication Ethics

Portico

Most Cited Papers In Last Two Years

Search Filter

Identifying stress-induced heterogeneity in Cu20Zr20Ni20Ti20Pd20 high-entropy metallic glass from machine learning atomic dynamics

High-entropy alloy catalysts: high-throughput and machine learning-driven design

New trends in additive manufacturing of high-entropy alloys and alloy design by machine learning: from single-phase to multiphase systems

A metadata schema for lattice thermal conductivity from first-principles calculations

Process parameter optimization of metal additive manufacturing: a review and outlook

Machine learning-accelerated first-principles predictions of the stability and mechanical properties of L12-strengthened cobalt-based superalloys

A mini review of machine learning in inorganic phosphors

CuB monolayer: a novel 2D anti-van’t Hoff/Le Bel nanostructure with planar hyper-coordinate boron/copper and superconductivity

Additive manufacturing as a tool for high-throughput experimentation

A thermodynamic database of the Ni-Mo-Re system

Accurate experimental band gap predictions with multifidelity correction learning

High-cycle fatigue S-N curve prediction of steels based on a transfer learning-guided convolutional neural network

Estimating the performance of a material in its service space via Bayesian active learning: a case study of the damping capacity of Mg alloys

Recent progress in the data-driven discovery of novel photovoltaic materials

Giant rashba splitting of confined Te chains in nanotubes: the size-, chirality-, and type- effects of nanotubes

Structure-property modeling scheme based on optimized microstructural information by two-point statistics and principal component analysis

Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water

Accelerated development of hard high-entropy alloys with data-driven high-throughput experiments

A critical review of the machine learning guided design of metallic glasses for superior glass-forming ability

Big data-assisted digital twins for the smart design and manufacturing of advanced materials: from atoms to products

Committee on Publication Ethics

Portico

Committee on Publication Ethics

Portico

Identifying stress-induced heterogeneity in Cu₂₀Zr₂₀Ni₂₀Ti₂₀Pd₂₀ high-entropy metallic glass from machine learning atomic dynamics

Machine learning-accelerated first-principles predictions of the stability and mechanical properties of L1₂-strengthened cobalt-based superalloys