Milica Todorović

University of Turku — Finland

Materials Science · Physical Sciences

16h-index1.5kcitations102works3.02yr avg
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Research Topics

Machine Learning in Materials Science(38), Surface and Thin Film Phenomena(9), Force Microscopy Techniques and Applications(7), Molecular Junctions and Nanostructures(6), Protein Structure and Dynamics(5)

Publications102 total

Question Answering models for information extraction from perovskite materials science literature
Communications Materials·2025Open Access
Annotated textual dataset PV600 of perovskite bandgaps for information extraction from literature
Scientific Data·2025· 3 citedOpen Access
Author response for "Exploring Noncollinear Magnetic Energy Landscapes with Bayesian Optimization"
2025
Author response for "Exploring Noncollinear Magnetic Energy Landscapes with Bayesian Optimization"
2025
An innovative data-driven approach to the design and optimization of battery recycling processes
Chemical Engineering Journal·2025· 4 citedOpen Access
Active learning of molecular data for task-specific objectives
The Journal of Chemical Physics·2025· 2 citedOpen Access
Exploring noncollinear magnetic energy landscapes with Bayesian optimization
Digital Discovery·2025· 1 citedOpen Access
Exploring Noncollinear Magnetic Energy Landscapes with Bayesian Optimization
arXiv (Cornell University)·2024Open Access
Workflows for Artificial Intelligence
2024Open Access
High-Yield WS<sub>2</sub> Synthesis through Sulfurization in Custom-Modified Atmospheric Pressure Chemical Vapor Deposition Reactor, Paving the Way for Selective NH<sub>3</sub> Vapor Detection
ACS Applied Materials & Interfaces·2024· 16 citedOpen Access
Active Learning of Molecular Data for Task-Specific Objectives
arXiv (Cornell University)·2024Open Access
First-Principles Structure Search Study of 17-β-Estradiol Adsorption on Graphene
ACS Omega·2024· 3 citedOpen Access
Structural Disorder by Octahedral Tilting in Inorganic Halide Perovskites: New Insight with Bayesian Optimization
Small Structures·2024· 8 citedOpen Access
Question Answering models for information extraction from perovskite materials science literature
arXiv (Cornell University)·2024Open Access
The search for sparse data in molecular datasets: Application of active learning to identify extremely low volatile organic compounds
Journal of Aerosol Science·2024· 8 citedOpen Access
Comparing methods for the long-term performance assessment of bifacial photovoltaic modules in Nordic conditions
Renewable Energy·2023· 14 citedOpen Access
Optimization of high-temperature superconducting multilayer films using artificial intelligence
New Journal of Physics·2023· 13 citedOpen Access
Atomic structures, conformers and thermodynamic properties of 32k atmospheric molecules
Scientific Data·2023· 22 citedOpen Access
Updates to the DScribe library: New descriptors and derivatives
The Journal of Chemical Physics·2023· 71 cited
Erratum to: Solubility in K+–Na+–Mg2+–$${\text{SO}}_{4}^{{2 - }}$$ Aqueous Solution at T = 298.15 K
Russian Journal of Physical Chemistry A·2023Open Access
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Frequent Co-authors

Patrick Rinke(31), Rúben Pérez(7), Annika Stuke(5), Harry Mönig(4), Lincan Fang(4), Joakim Löfgren(4), Dmitry Tarasov(4), Taru Koitto(4), Mikhail Balakshin(4), David R. Bowler(4), Jari Järvi(4), Kunal Ghosh(3), Xi Chen(3), Mehmet Z. Baykara(3), Todd C. Schwendemann(3), Lucía Rodrigo(3), Eric I. Altman(3), Udo D. Schwarz(3), Theo Kurtén(3), Hanna Vehkamäki(3)