01
Heat-Conducting Liquids
Developing theory and molecular simulation approaches to understand liquid heat capacity, thermal conductivity, configurational rearrangement, and fast thermal-property screening.
Nanoscale Thermal Transport | Polymer Informatics | AI for Materials
Sobin Alosious, Ph.D.
Postdoctoral Associate, Department of Mechanical Engineering, Massachusetts Institute of Technology
I am a mechanical engineer and computational materials researcher working at the intersection of molecular simulation, thermal transport, and data-driven materials discovery. My research connects molecular-scale mechanisms with predictive tools for liquids, polymers, interfaces, and energy materials.
At a Glance
- Current
- Postdoctoral Associate, MIT Mechanical Engineering
- Group
- Prof. Gang Chen's NanoEngineering Group
- Current Focus
- Heat-conducting liquids, heat capacity, and thermal conductivity
- Methods
- Molecular dynamics, thermal transport theory, machine learning
Current Work at MIT
Understanding how molecular motion governs heat storage and transport in liquids.
In Prof. Gang Chen's NanoEngineering Group, I study heat-conducting liquids through physical modeling, molecular dynamics, lattice-dynamics-inspired analysis, and emerging optical measurement workflows. The work examines how vibration, diffusion, molecular rearrangement, and hydrogen-bond exchange contribute to liquid heat capacity and thermal conductivity.
Explore the research programResearch Profile
From molecular motion to predictive thermal-materials platforms.
My work connects atomistic-scale transport physics with data-driven materials discovery, supporting the design of heat-conducting liquids, polymers, thermal interfaces, nanofluidic systems, and energy materials.
02
AI for Polymer Discovery
Building automated simulation, transfer learning, graph neural network, and multi-fidelity workflows to predict polymer properties and screen large chemical spaces.
03
Nanoscale Interfaces and Transport
Studying Kapitza resistance, nanochannel slip, electrohydrodynamic flow, and coupled thermal-electrical behavior in confined and interfacial systems.
Selected Work
Recent research and software
Representative work connecting simulation, scientific software, and machine learning for thermal materials.
Polymer informatics · 2026
ADEPT-PolyGraphMT
Automated molecular simulation and multi-task, multi-fidelity graph learning for scalable polymer property prediction.
Project details
Thermal polymers · 2026
Transfer learning for polymer heat capacity
Combining molecular dynamics, group contribution estimates, and experiments to screen thermal polymers.
Project details
Nanoscale transport · 2026
Nanoscale AC electrohydrodynamic flow
Molecular simulations reveal how high-frequency electric fields generate localized heating, molecular reorientation, and directional flow in asymmetric nanopores.
Project detailsNews & Activity
Recent updates
Appointments, research coverage, publications, and scientific community activities.
Joined MIT Mechanical Engineering
Started as a Postdoctoral Associate in Prof. Gang Chen's NanoEngineering Group in the Department of Mechanical Engineering at MIT.
Lucy Family Institute feature on AI-driven materials discovery
Featured in an article on ADEPT, PolyGraphMT, and AI-enabled polymer discovery workflows.
Read articleOpen Polymer Challenge
Contributed as an organizer for the NeurIPS 2025 Open Polymer Challenge with Kaggle.