Subramanian Krs Sankaranarayanan - JoVE Visualize

Showing results (1-10 of 4) with videos related to

Pageof 1

Sort By:

ACS Omega|June 29, 2026

Interface and Thermophysical Properties of <i>R</i>32 RefrigerantAbibat Adekoya-Olowofela, Sukriti Manna, Subramanian Krs Sankaranarayanan

The Journal of Physical Chemistry. A|November 13, 2024

Development of a Machine Learning Potential to Study the Structure and Thermodynamics of Nickel NanoclustersSuvo Banik, Partha Sarathi Dutta, Sukriti Manna, et al.

Science Advances|June 11, 2025

Discovery of unconventional and nonintuitive self-assembling peptide materials using experiment-driven machine learningY Nissi Talluri, Subramanian Krs Sankaranarayanan, H Christopher Fry, et al.

Journal of the American Chemical Society|October 19, 2023

Combining Force Fields and Neural Networks for an Accurate Representation of Chemically Diverse Molecular InteractionsAlexey Illarionov, Serzhan Sakipov, Leonid Pereyaslavets, et al.

Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:

Pageof 1

ACS Omega|June 29, 2026

Interface and Thermophysical Properties of <i>R</i>32 RefrigerantAbibat Adekoya-Olowofela, Sukriti Manna, Subramanian Krs Sankaranarayanan

The Journal of Physical Chemistry. A|November 13, 2024

Development of a Machine Learning Potential to Study the Structure and Thermodynamics of Nickel NanoclustersSuvo Banik, Partha Sarathi Dutta, Sukriti Manna, et al.

Science Advances|June 11, 2025

Discovery of unconventional and nonintuitive self-assembling peptide materials using experiment-driven machine learningY Nissi Talluri, Subramanian Krs Sankaranarayanan, H Christopher Fry, et al.

Journal of the American Chemical Society|October 19, 2023

Combining Force Fields and Neural Networks for an Accurate Representation of Chemically Diverse Molecular InteractionsAlexey Illarionov, Serzhan Sakipov, Leonid Pereyaslavets, et al.

Pageof 1