Journal of Materiomics Open Access Editors-in-Chief: Jing-Feng Li, Samuel S. Mao, Cewen Nan
Keyword: machine learning
Research paper | Open Access
Accurate and explainable machine learning for the power factors of diamond-like thermoelectric materials
Published: 23 November 2021
2022, 8 (3): 633-639
Research paper | Open Access
Crystal structure guided machine learning for the discovery and design of intrinsically hard materials
Published: 17 November 2021
2022, 8 (3): 678-684
Open Access
Machine learning of metal-ceramic wettability
Published: 31 March 2021
2022, 8 (1): 195-203
Research paper | Open Access
Prediction of nature of band gap of perovskite oxides (ABO3) using a machine learning approach
Published: 27 April 2022
2022, 8 (5): 937-948
Research paper | Open Access
Accelerated strategy for fast ion conductor materials screening and optimal doping scheme exploration
Published: 25 February 2022
2022, 8 (5): 1038-1047
Research Article | Open Access
Data-driven discovery of formation ability descriptors for high-entropy rare-earth monosilicates
Published: 20 December 2023
2024, 10 (3): 738-747
Research Article | Open Access
Automating selective area electron diffraction phase identification using machine learning
Published: 01 February 2024
2024, 10 (4): 896-905
Review Article | Open Access
Generative artificial intelligence and its applications in materials science: Current situation and future perspectives
Published: 25 May 2023
2023, 9 (4): 798-816
Research Article | Open Access
Machine learning approaches for permittivity prediction and rational design of microwave dielectric ceramics
Published: 04 March 2021
2021, 7 (6): 1284-1293
Total 9