Projects

Research Projects

Selected research projects, open-source tools, and interactive demonstrations spanning thermal transport, polymer informatics, molecular simulation, and scientific AI.

Software & Interactive Demos

Public repositories and web-based demonstrations that make the research workflows more accessible and reusable.

Polymer informatics

ADEPT and PolyGraphMT

Automation and graph-learning tools for polymer simulation data generation, multi-fidelity property learning, and reusable polymer informatics workflows, paired with the polymer-property Space.

Thermal polymers

POLY-CP-TL

Transfer-learning workflow for polymer specific heat capacity prediction, combining molecular simulation signals with data-driven property models.

Scientific data agents

Poly retrieval Space

Interactive Hugging Face demonstration related to the Quest2DataAgent work, focused on polymer-oriented retrieval and research-question-driven data access.

Tutorial resources

MRS polymer MD tutorial

Teaching-oriented molecular dynamics materials for polymer simulation workflows, prepared as a practical computational tutorial resource.

Computational Materials & Scientific Software

Publication-centered project cards summarizing the core scientific question, computational approach, and available paper links.

NAVIS paper figure

01 | 2026

NAVIS: nanochannel velocity and thermal interfacial slip toolkit

NAVIS is a LAMMPS-Python framework for computing Navier friction coefficients, Kapitza resistance, velocity slip, and thermal slip at solid-fluid interfaces using equilibrium molecular dynamics.

LAMMPSPythonNanofluidics
ADEPT-PolyGraphMT paper figure

02 | 2026

ADEPT-PolyGraphMT

An automated polymer informatics framework combining molecular simulation, multi-task learning, and multi-fidelity graph neural networks for scalable polymer property generation and prediction.

Polymer MLGraph modelsSimulation automation
AC electrohydrodynamic flow paper figure

03 | 2026

Nanoscale alternating-current electrohydrodynamic flow

This work uses molecular dynamics to explain how high-frequency AC fields generate localized heat, water orientation changes, and directional flow in asymmetric nanopore electrode systems.

Molecular dynamicsAC-EHDNanopores
Polymer heat capacity transfer learning paper figure

04 | 2026

Transfer learning for polymer specific heat capacity

A transfer-learning workflow integrates molecular dynamics, group contribution estimates, and experimental data to predict polymer heat capacity and screen candidates for thermal applications.

Transfer learningPolymer CpThermal materials
Dofulator paper figure

05 | 2026

Dofulator

Dofulator calculates per-atom and per-direction degrees of freedom for constrained molecular systems, supporting more reliable local kinetic temperature analysis in molecular simulations.

C/PythonMDAnalysisConstraints
Open Polymer Challenge report figure

06 | 2025

Open Polymer Challenge post-competition report

The report summarizes a community benchmark for multi-task polymer property prediction, highlighting dataset construction, model performance, and lessons for future polymer informatics challenges.

BenchmarkPolymer dataOpen challenge
Quest2DataAgent paper figure

07 | 2025

Quest2DataAgent

A multi-agent framework for automating scientific data collection from natural-language research questions, including task decomposition, retrieval, quality checks, and visualization.

LLM agentsScientific dataAutomation
Electrolyte-gated synaptic transistor paper figure

08 | 2026

Ion dynamics in electrolyte-gated synaptic transistors

This collaborative study combines molecular dynamics and experiments to understand how ion concentration influences electrolyte-gated transistor behavior and tunable synaptic weight modulation.

Ion dynamicsSynaptic devicesMD + experiment
Supercapacitor composite electrode paper figure

09 | 2024

Graphene/CNT composite electrodes for supercapacitors

Molecular simulations reveal how graphene/CNT composite electrode structure affects interfacial thermal transport, electrical performance, and structural behavior in supercapacitor systems.

SupercapacitorsGraphene/CNTThermal transport

Earlier Work

Foundational thermal transport research

hBN-water Kapitza resistance paper figure

10 | 2022

Electrostatic effects on hBN-water Kapitza resistance

This project investigates how partial charges, ion concentration, electric fields, and hydrogen bonding influence interfacial thermal resistance at hexagonal boron nitride-water interfaces.

Kapitza resistancehBN-waterElectrostatics
Water-CNT Kapitza resistance paper figure

11 | 2021

Nanoconfinement effects at water-CNT interfaces

An equilibrium molecular dynamics approach is used to quantify Kapitza resistance for water confined inside carbon nanotubes and to reveal the role of nanotube diameter and confinement.

CNT-waterNanoconfinementEMD
Water-graphene Kapitza resistance paper figure

12 | 2020

Kapitza resistance at water-graphene interfaces

This study computes interfacial thermal resistance at water-graphene interfaces and analyzes molecular mechanisms controlling heat transfer across planar solid-liquid interfaces.

Graphene-waterThermal interfacesMolecular simulation
Prediction of Kapitza resistance paper figure

13 | 2019

Prediction of Kapitza resistance at fluid-solid interfaces

This work develops and validates an equilibrium molecular dynamics route for predicting interfacial thermal resistance at fluid-solid interfaces using molecular-level energy correlations.

Kapitza resistanceFluid-solid interfacesEMD
Round tube radiator nanofluid paper figure

14 | 2018

Round-tube radiator nanofluid heat transfer

Experimental and numerical analysis of forced convective heat transfer in a circular tube radiator using Al2O3 and CuO nanofluids, including heat-transfer enhancement and pumping-power tradeoffs.

NanofluidsRadiatorHeat transfer
Flat tube radiator nanofluid paper figure

15 | 2017

Flat-tube radiator nanofluid heat transfer

This project studies heat-transfer enhancement in flat-tube automotive radiators using Al2O3 and CuO nanofluids through combined experimental measurements and numerical modeling.

NanofluidsFlat tube radiatorCFD