Publications
Selected peer-reviewed work on data-driven and AI-guided studies of quantum and van der Waals materials.
View full list on Google Scholar →-
2025
Data-Driven Studies of Two-Dimensional Materials and Their Nonlinear Optical Properties
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2025
High-throughput screening of altermagnetic materials
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2024
Strain-induced topological phase transition in ferromagnetic Janus monolayer MnSbBiS2Te2
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2024
Predicting magnetic properties of van der Waals magnets using graph neural networks
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2023
Investigating magnetic van der Waals materials using data-driven approaches
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2023
Machine Learning-Aided Band Gap Engineering of BaZrS3 Chalcogenide Perovskite
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2023
Artificial intelligence guided studies of van der Waals magnets
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2023
Data-driven study of magnetic anisotropy in transition metal dichalcogenide monolayers
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2021
Data-Driven Studies of the Magnetic Anisotropy of Two-Dimensional Magnetic Materials
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2020
Data-driven studies of magnetic two-dimensional materials
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2019
Data-driven studies of li-ion-battery materials
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2016
COMBO: an efficient Bayesian optimization library for materials science