N. Molinari

发表

Fundamental limits to the electrochemical impedance stability of dielectric elastomers in bioelectronics.

Z. Suo, P. Le Floch, B. Kozinsky, 2019, Nano letters.

Transport anomalies emerging from strong correlation in ionic liquid electrolytes

Jonathan P. Mailoa, B. Kozinsky, J. Christensen, 2019, Journal of Power Sources.

Effect of Salt Concentration on Ion Clustering and Transport in Polymer Solid Electrolytes: A Molecular Dynamics Study of PEO–LiTFSI

Boris Kozinsky, Jonathan P. Mailoa, Nicola Molinari, 2018, Chemistry of Materials.

ect of Salt Concentration on Ion Clustering and Transport in Polymer Solid Electrolytes : A Molecular Dynamics Study of PEO −

Jonathan P. Mailoa, B. Kozinsky, N. Molinari, 2018 .

Mechanisms of reinforcement in polymer nanocomposites.

A. Mostofi, A. Sutton, N. Molinari, 2018, Physical chemistry chemical physics : PCCP.

Evolution of Metastable Structures at Bimetallic Surfaces from Microscopy and Machine-Learning Molecular Dynamics.

B. Kozinsky, P. Sautet, Lixin Sun, 2020, Journal of the American Chemical Society.

Rationalizing the Effect of Shape and Size in Nanoparticle-Based Glues

S. Angioletti-Uberti, Xiaoxin Gao, N. Molinari, 2022, The Journal of Physical Chemistry C.

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Jonathan P. Mailoa, M. Geiger, T. Smidt, 2021, Nature communications.

Evolution of Metastable Structures at Bimetallic Surfaces from Microscopy and Machine-Learning Molecular Dynamics.

B. Kozinsky, P. Sautet, Lixin Sun, 2020, Journal of the American Chemical Society.

Evolution of Metastable Structures in Bimetallic Catalysts from Microscopy and Machine-Learning Molecular Dynamics

B. Kozinsky, P. Sautet, Lixin Sun, 2020 .

Effect of Salt Concentration on Ion Clustering and Transport in Polymer Solid Electrolytes: A Molecular Dynamics Study of PEO–LiTFSI

Jonathan P. Mailoa, B. Kozinsky, N. Molinari, 2018, Chemistry of Materials.

Understanding Relationships between Free Volume and Oxygen Absorption in Ionic Liquids.

Malia B. Wenny, B. Kozinsky, Byeongdu Lee, 2022, The journal of physical chemistry. B.

Uncertainty Driven Active Learning of Coarse Grained Free Energy Models

B. Kozinsky, N. Molinari, Jonathan Vandermause, 2022, 2210.16364.

Automated Detection and Characterization of Surface Restructuring Events in Bimetallic Catalysts

B. Kozinsky, P. Sautet, N. Molinari, 2019, The Journal of Physical Chemistry C.

Unraveling the Role of Architecture in Polymer-Based Glues for Hydrogels.

S. Angioletti-Uberti, N. Molinari, Kaiye Xie, 2021, ACS applied materials & interfaces.

Role of solvent-anion charge transfer in oxidative degradation of battery electrolytes

Jonathan P. Mailoa, J. Grossman, G. Samsonidze, 2019, Nature Communications.

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Jonathan P. Mailoa, Simon L. Batzner, M. Geiger, 2021, Nature Communications.

A fast neural network approach for direct covariant forces prediction in complex multi-element extended systems

Mordechai Kornbluth, Boris Kozinsky, Chris Ablitt, 2019, Nature Machine Intelligence.

Molecular Model for HNBR with Tunable Cross-Link Density.

A. Mostofi, A. Sutton, N. Molinari, 2016, The journal of physical chemistry. B.

Chelation-Induced Reversal of Negative Cation Transference Number in Ionic-Liquid Electrolytes.

B. Kozinsky, N. Molinari, 2020, The journal of physical chemistry. B.

General Trend of a Negative Li Effective Charge in Ionic Liquid Electrolytes.

Jonathan P. Mailoa, B. Kozinsky, N. Molinari, 2019, The journal of physical chemistry letters.

General Trend of Negative Transference Number in Li Salt/Ionic Liquid Mixtures

Jonathan P. Mailoa, B. Kozinsky, N. Molinari, 2019 .

A fast neural network approach for direct covariant forces prediction in complex multi-element extended systems

Jonathan P. Mailoa, Simon L. Batzner, G. Samsonidze, 2019, Nature Machine Intelligence.

Salt-in-Ionic-Liquid Electrolytes: Ion Network Formation and Negative Effective Charges of Alkali Metal Cations.

A. Kornyshev, M. Bazant, B. Kozinsky, 2021, The journal of physical chemistry. B.

Spectral Denoising for Accelerated Analysis of Correlated Ionic Transport.

B. Kozinsky, M. Kornbluth, Aris Marcolongo, 2020, Physical review letters.

3D spatiotemporally scalable in vivo neural probes based on fluorinated elastomers.

B. Kozinsky, Guogao Zhang, Jia Liu, 2023, Nature nanotechnology.

SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials pdf

Mordechai Kornbluth, Simon Batzner, Boris Kozinsky, 2021, ArXiv.

Nanoparticle Organization Controls Their Potency as Universal Glues for Gels.

S. Angioletti-Uberti, N. Molinari, 2018, Nano letters.