Ph.D. Candidate · Assistant
Shixian Liu
Phonon transport and heat conduction from microscopic mechanisms to practical thermal management.
I am currently a Ph.D. candidate and Assistant at Bauman Moscow State Technical University. My research focuses on heat conduction at micro- and nanoscale, combining computational methods with theoretical analysis.
I mainly investigate phonon transport in nanostructures and low-dimensional systems, with an emphasis on bridging microscopic mechanisms and practical thermal management in electronic and energy devices.
Professional Experience
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2025 -- presentAssistant, Bauman Moscow State Technical University, Moscow, Russia
Education
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2023 -- 2027Ph.D. in Thermophysics, Bauman Moscow State Technical University, Moscow, Russia
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2021 -- 2023Master in Thermophysics, Bauman Moscow State Technical University, Moscow, Russia
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2019 -- 2021Bachelor in Nuclear Power Engineering, Moscow Power Engineering Institute, Moscow, Russia
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2017 -- 2021Bachelor in Nuclear Engineering, North China Electric Power University, Beijing, China
Featured Research
All publications
Wave–particle phonon transport
Quantifying Particle and Wave Effects in Phonon Transport of Pillared Graphene Nanoribbons
Combines Monte Carlo and molecular dynamics simulations to quantify particle-like and wave-like contributions to heat transport in pillared graphene nanoribbons.
- Monte Carlo
- Molecular dynamics
- Graphene
ML-based nanothermophysics
Temperature Dependence of Specific Heat Capacity of Nanostructures via Neuroevolution Machine-learned Potential
Uses neuroevolution machine-learned potentials and lattice dynamics to study how confinement, size, and temperature shape the heat capacity of silicon nanostructures.
- NEP
- Lattice dynamics
- Nanostructures
Roughness-dependent size effects
Determination of Thermal Properties of Unsmooth Si Nanowires
Examines how diameter, surface roughness, and quantum size effects jointly govern heat capacity and thermal conductivity in rough silicon nanowires.
- Surface roughness
- Fuchs-Sondheimer
- Ballistic transport
Software
NEP-kappa
A YAML-driven framework that links first-principles and machine-learning force models to finite-temperature phonons, lattice thermal transport, and nonequilibrium dynamics.
PhonoMC
A C++17 deviational phonon Monte Carlo solver for thin films, interfaces, and device geometries with fixed or locally temperature-dependent scattering.