Sae Dieb

Machine learning assisted development of Fe2P-type magnetocaloric compounds for cryogenic applications

Jiawei Lai, A. Bolyachkin, Noriki Terada et al. · Acta Materialia · 2022 · 47 citations

Natural Sciences, Materials Engineering, Materials Science +14

SuperMat: construction of a linked annotated dataset from superconductors-related publications

Luca Foppiano, Sae Dieb, Akira Suzuki et al. · Science and Technology of Advanced Materials Methods · 2021 · 22 citations · Full text

Natural Sciences, Computer Science, Materials Science +16

Adaptive Design of Alloys for CO₂ Activation and Methanation via Reinforcement Learning Monte Carlo Tree Search Algorithm

Zhilong Song, Qionghua Zhou, Shuaihua Lu et al. · The Journal of Physical Chemistry Letters · 2023 · 12 citations

Natural Sciences, Materials Engineering, Materials Science +17

Optimization of depth-graded multilayer structure for x-ray optics using machine learning

Sae Dieb, Zhilong Song, Wan‐Jian Yin et al. · Journal of Applied Physics · 2020 · 11 citations

Natural Sciences, Computer Science, Materials Science +17