Recent advances and applications of machine learning in solid-state materials science

• Methodology for assessing the effects of granular composition on power consumption curves in concrete mixing

  2026 Cement and Concrete Research article Engineering Concrete and Cement Materials Research Open access

  0

  citations
• Towards sustainable exploration of chemical spaces with machine learning

  2026 Digital Discovery article Materials Science Machine Learning in Materials Science Open access

  0

  citations
• Machine Learning-based estimation and explainable artificial intelligence-supported interpretation of the critical temperature from magnetic ab initio Heusler alloys data

  2025 Physical Review Materials article Materials Science Machine Learning in Materials Science Open access

  9

  citations
• Machine Learning Isotropic g Values of Radical Polymers

  2024 Journal of Chemical Theory and Computation article Materials Science Machine Learning in Materials Science Open access

  5

  citations
• Roadmap on chalcogenide photonics

  2022 Journal of Physics Photonics article Materials Science Phase-change materials and chalcogenides Open access

  42

  citations
• Machine-learning-based surrogate modeling of microstructure evolution using phase-field

  2022 Computational Materials Science article Materials Science Machine Learning in Materials Science

  62

  citations
• The Development of New Perovskite-Type Oxygen Transport Membranes Using Machine Learning

  2022 Crystals article Materials Science Advancements in Solid Oxide Fuel Cells Open access

  10

  citations
• Explainable machine learning for precise fatigue crack tip detection

  2022 Scientific Reports article Engineering Fatigue and fracture mechanics Open access cited by 3 patents

  44

  citations
• Modeling and simulation of microstructure in metallic systems based on multi-physics approaches

  2022 npj Computational Materials article Materials Science Microstructure and mechanical properties Open access

  37

  citations
• Machine learning-based predictive modeling of contact heat transfer

  2021 International Journal of Heat and Mass Transfer article Engineering Heat Transfer and Numerical Methods Open access

  56

  citations
• Design of a vertical Loss-in-Weight feeder prototype with experimental proof of concept validation

  2021 Pharmaceutical Development and Technology article Engineering Granular flow and fluidized beds

  2

  citations
• A multivariate statistical approach to analyze the impact of material attributes and process parameters on the quality performance of an auger dosing process

  2020 Journal of Drug Delivery Science and Technology article Engineering Granular flow and fluidized beds

  7

  citations
• Theory-training deep neural networks for an alloy solidification benchmark problem

  2020 Computational Materials Science article Physics and Astronomy Model Reduction and Neural Networks

  39

  citations

13 results