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Ishan Nadkarni

3 papers hereh-index 28 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.soft1
  • cond-mat.stat-mech1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedA Data-Driven Approach to Coarse-Graining Simple Liquids in Confinement

3 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

physics.comp-ph2025

Generative Quasi-Continuum Modeling of Confined Fluids at the Nanoscale

Bugra Yalcin, Ishan Nadkarni, Jinu Jeong +2

We present a data-efficient, multiscale framework for predicting the density profiles of confined fluids at the nanoscale. While accurate density estimates require prohibitively lo…

cond-mat.soft2024

DiffGLE: Differentiable Coarse-Grained Dynamics using Generalized Langevin Equation

Jinu Jeong, Ishan Nadkarni

Capturing dynamical fidelity at the coarse-grained scale remains a central challenge in systematic molecular modelling. The generalized Langevin equation, rooted in the Mori--Zwanz…

cond-mat.stat-mech2023★ 3 cited

A Data-Driven Approach to Coarse-Graining Simple Liquids in Confinement

Ishan Nadkarni, Haiyi Wu, Narayana. R. Aluru

We propose a data-driven framework for identifying coarse-grained (CG) Lennard-Jones (LJ) potential parameters in confined systems for simple liquids. Our approach involves the use…

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