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The Journal of Physical Chemistry. B
|
March 14, 2020
Chelation-Induced Reversal of Negative Cation Transference Number in Ionic Liquid Electrolytes
Nicola Molinari, Boris Kozinsky
Physical Review Letters
|
May 23, 2006
Static dielectric properties of carbon nanotubes from first principles
Boris Kozinsky, Nicola Marzari
Journal of Chemical Theory and Computation
|
March 2, 2022
CIDER: An Expressive, Nonlocal Feature Set for Machine Learning Density Functionals with Exact Constraints
Kyle Bystrom, Boris Kozinsky
Physical Chemistry Chemical Physics : PCCP
|
October 14, 2014
Computational Raman spectroscopy of organometallic reaction products in lithium and sodium-based battery systems
Roel S Sánchez-Carrera, Boris Kozinsky
Nature Communications
|
May 21, 2026
Laser-driven ferroelectricity in SrTiO<sub>3</sub> via quantum fluctuation quenching
Francesco Libbi, Lorenzo Monacelli, Boris Kozinsky
Journal of Chemical Theory and Computation
|
August 23, 2024
Training Machine-Learned Density Functionals on Band Gaps
Kyle Bystrom, Stefano Falletta, Boris Kozinsky
The Journal of Physical Chemistry Letters
|
April 20, 2019
General Trend of a Negative Li Effective Charge in Ionic Liquid Electrolytes
Nicola Molinari, Jonathan P Mailoa, Boris Kozinsky
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
October 30, 2014
Insights and challenges of applying the GW method to transition metal oxides
Georgy Samsonidze, Cheol-Hwan Park, Boris Kozinsky
The Journal of Chemical Physics
|
April 27, 2023
Fast uncertainty estimates in deep learning interatomic potentials
Albert Zhu, Simon Batzner, Albert Musaelian, et al.
Science Advances
|
September 12, 2025
Nonequilibrium quantum dynamics in SrTiO<sub>3</sub> under impulsive THz radiation with machine learning
Francesco Libbi, Anders Johansson, Boris Kozinsky, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 44) with videos related to
Sort By:
Page
of 5
The Journal of Physical Chemistry. B
|
March 14, 2020
Chelation-Induced Reversal of Negative Cation Transference Number in Ionic Liquid Electrolytes
Nicola Molinari, Boris Kozinsky
Physical Review Letters
|
May 23, 2006
Static dielectric properties of carbon nanotubes from first principles
Boris Kozinsky, Nicola Marzari
Journal of Chemical Theory and Computation
|
March 2, 2022
CIDER: An Expressive, Nonlocal Feature Set for Machine Learning Density Functionals with Exact Constraints
Kyle Bystrom, Boris Kozinsky
Physical Chemistry Chemical Physics : PCCP
|
October 14, 2014
Computational Raman spectroscopy of organometallic reaction products in lithium and sodium-based battery systems
Roel S Sánchez-Carrera, Boris Kozinsky
Nature Communications
|
May 21, 2026
Laser-driven ferroelectricity in SrTiO<sub>3</sub> via quantum fluctuation quenching
Francesco Libbi, Lorenzo Monacelli, Boris Kozinsky
Journal of Chemical Theory and Computation
|
August 23, 2024
Training Machine-Learned Density Functionals on Band Gaps
Kyle Bystrom, Stefano Falletta, Boris Kozinsky
The Journal of Physical Chemistry Letters
|
April 20, 2019
General Trend of a Negative Li Effective Charge in Ionic Liquid Electrolytes
Nicola Molinari, Jonathan P Mailoa, Boris Kozinsky
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
October 30, 2014
Insights and challenges of applying the GW method to transition metal oxides
Georgy Samsonidze, Cheol-Hwan Park, Boris Kozinsky
The Journal of Chemical Physics
|
April 27, 2023
Fast uncertainty estimates in deep learning interatomic potentials
Albert Zhu, Simon Batzner, Albert Musaelian, et al.
Science Advances
|
September 12, 2025
Nonequilibrium quantum dynamics in SrTiO<sub>3</sub> under impulsive THz radiation with machine learning
Francesco Libbi, Anders Johansson, Boris Kozinsky, et al.
Page
of 5