Nicola Molinari

Harvard University Press — United States

Materials Science · Physical Sciences

16h-index2.6kcitations70works7.12yr avg
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Research Topics

Machine Learning in Materials Science(18), Advanced Battery Materials and Technologies(15), Ionic liquids properties and applications(15), Advancements in Battery Materials(10), Electrochemical Analysis and Applications(8)

Publications70 total

Interfacial Behavior of Salt-in-Ionic Liquids: From Dry to Wet Regimes
ECS Meeting Abstracts·2025
Revealing the proton slingshot mechanism in solid acid electrolytes through machine learning molecular dynamics
arXiv (Cornell University)·2025· 1 citedOpen Access
Polymer composites informatics for flammability, thermal, mechanical and electrical property predictions
Polymer Chemistry·2025· 7 cited
Polymer Composites Informatics for Flammability, Thermal, Mechanical and Electrical Property Predictions
arXiv (Cornell University)·2024Open Access
Long-Range Surface Forces in Salt-in-Ionic Liquids
ACS Nano·2024· 12 citedOpen Access
Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic Potentials
The Journal of Physical Chemistry Letters·2024· 26 cited
Long-Range Interactions in Salt-in-Ionic Liquids
2024· 3 citedOpen Access
Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic Potentials
arXiv (Cornell University)·2024Open Access
Uncertainty driven active learning of coarse grained free energy models
npj Computational Materials·2024· 15 citedOpen Access
3D spatiotemporally scalable in vivo neural probes based on fluorinated elastomers
Nature Nanotechnology·2023· 82 cited
Flexible fluid-based encapsulation platform for water-sensitive materials
Proceedings of the National Academy of Sciences·2023· 14 citedOpen Access
Uncertainty Driven Active Learning of Coarse Grained Free Energy Models
2022Open Access
Uncertainty Driven Active Learning of Coarse Grained Free Energy Models
arXiv (Cornell University)·2022Open Access
E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
Nature Communications·2022· 1.5k citedOpen Access
Rationalizing the Effect of Shape and Size in Nanoparticle-Based Glues
The Journal of Physical Chemistry C·2022· 7 citedOpen Access
Understanding Relationships between Free Volume and Oxygen Absorption in Ionic Liquids
The Journal of Physical Chemistry B·2022· 19 citedOpen Access
Salt-in-Ionic-Liquid Electrolytes: Ion Network Formation and Negative Effective Charges of Alkali Metal Cations
The Journal of Physical Chemistry B·2021· 42 cited
Unraveling the Role of Architecture in Polymer-Based Glues for Hydrogels
ACS Applied Materials & Interfaces·2021
Spectral Denoising for Accelerated Analysis of Correlated Ionic Transport
Physical Review Letters·2021· 10 citedOpen Access
Salt-in-Ionic-Liquid Electrolytes: Ion Network Formation and Negative Effective Charges of Alkali Metal Cations
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Boris Kozinsky(33), Jonathan P. Mailoa(11), Albert Musaelian(7), Jonathan Vandermause(6), Zachary A. H. Goodwin(6), Adrian P. Sutton(6), Arash A. Mostofi(6), Musab Khawaja(6), Stefano Angioletti‐Uberti(6), Lixin Sun(5), Jin Soo Lim(5), Kaining Duanmu(5), Philippe Sautet(5), Simon Batzner(4), Mordechai Kornbluth(4), Yu Xie(4), Michael McEldrew(4), Martin Z. Bazant(4), Blake Duschatko(4), M. A. Van Spronsen(3)