Author

Ihor Neporozhnii

Observed names: I. Neporozhnii, I.M. Neporozhnii, Neporozhnii, Ihor

Institutions: University of Toronto, University of Toronto Scarborough

Observed institutions: University of Toronto, Taras Shevchenko National University of Kyiv, University of Toronto Scarborough

ORCID: 0000-0001-9906-8010

Observed ORCID: 0000-0001-9906-8010

OpenAlex ID: A5049678393

Insertion of MXene‐Based Materials into Cu–Pd 3D Aerogels for Electroreduction of CO 2 to Formate

2023 · Maryam Abdinejad, Siddhartha Subramanian, et al. · Advanced Energy Materials · 108

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Machine learning models for the discovery of direct band gap materials for light emission and photovoltaics

2023 · Filip Dinic, Ihor Neporozhnii, et al. · Computational Materials Science · 23

Mesoscopic self-ordering in oxygen doped Ce films adsorbed on Mo(112)

2020 · T.V. Afanasieva, A.G. Fedorus, et al. · Surface Science · 5

Navigating Materials Space with ML-Generated Electronic Fingerprints

2024 · Ihor Neporozhnii, Zhibo Wang, et al. · ChemRxiv · 2

Suppressing dendrites via lateral lithium flux in Li metal solid-state batteries

2026 · Huanyu Zhang, Faruk Okur, et al. · Energy & Environmental Science · 1

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Strain data augmentation enables machine learning of inorganic crystal geometry optimization

2023 · Filip Dinic, Zhibo Wang, et al. · Patterns · 1

Accelerating discovery of phosphorescent blue OLED emitters using chemical foundation models

2026 · Alexander Davis, Ihor Neporozhnii, et al. · ChemRxiv

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The Mechanics of Delta Learning: Target Design for Generalizable Scientific Machine Learning

2026 · Gameel, Kareem M., Neporozhnii, Ihor, et al. · arXiv (Cornell University)

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The Illusion of Chemical Continuity Limits Machine Learning Generalization

2026 · Oleksandr Voznyy, Zhibo Wang, et al. · Research Square

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Navigating the Materials Space with Machine-Learning-Generated Electronic Fingerprints

2026 · I. Neporozhnii, Z. Wang, et al. · PRX Intelligence

Accelerating discovery of phosphorescent blue OLED emitters using chemical foundation models

2026 · Alexander Davis, Ihor Neporozhnii, et al. · ChemRxiv

Multitask learning with semiempirical orbital charges enables sample-efficient MLIPs

2026 · Neporozhnii, Ihor, Hoogland, Sjoerd, et al. · arXiv (Cornell University)

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How the Discreteness of the Periodic Table Undermines Machine Learning Predictions

2025 · Zhibo Wang, Alexander Davis, et al. · ChemRxiv

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Efficient Biological Data Acquisition through Inference Set Design

2024 · Neporozhnii, Ihor, Roy, Julien, et al. · arXiv (Cornell University)

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Navigating Materials Space with ML-Generated Electronic Fingerprints

2023 · Ihor Neporozhnii, Zhibo Wang, et al. · ChemRxiv

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Works count: 16

Citation count: 140

H-index: 3

I10-index: 2