Minho Choi
Korea Advanced Institute of Science and Technology · Engineering
About the Lab
Professor Minho Choi's research lab focuses on multiscale physical systems spanning statistical mechanics, fluid dynamics, and artificial intelligence. The lab investigates fundamental mechanisms of energy dissipation and thermalization in classical many-body systems, particularly through minimal models of particle-oscillator interactions relevant to ionic conduction and heat transport. It also explores advanced computational methods for long-context reasoning in large language models, emphasizing efficient, structured memory architectures. Additionally, the lab conducts high-fidelity simulations of turbulent and reactive flows, especially in high-pressure combustion systems such as kerosene/oxygen injectors.
Research Overview
Research Output Trend
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Selected Papers
6Using a nonperturbative classical model, we numerically investigate the dynamics of mobile particles interacting with an infinite chain of harmonic oscillators, an abstraction of ionic conduction through solid-state materials. We show that coupling between the mobile particles and a single mass of the chain is sufficient to induce dissipation of the mobile particles' energy over a wide range of system parameters. When we introduce thermal fluctuations in the position of the chain mass, the mobil
While Large Language Models (LLMs) have advanced open-domain dialogue systems, maintaining long-term consistency remains a challenge due to inherent limitations in long-context reasoning and the inefficiency of processing extensive raw text. Existing approaches typically rely on either unstructured memory storage, which is prone to information loss, or computationally expensive LLMs that incur high latency. To address these limitations, we propose G-Long, a graph-enhanced framework that utilizes
Using a non-perturbative classical model, we numerically investigate the dynamics of mobile particles interacting with an infinite chain of harmonic oscillators, an abstraction of ionic conduction through solid-state materials. We show that coupling between the mobile particles and a single mass of the chain is sufficient to induce dissipation of the mobile particles' energy over a wide range of system parameters. When we introduce thermal fluctuations in the position of the chain mass, the mobi
Scalar dissipation rate (SDR) evolution in a stopping turbulent jet was analysed using direct numerical simulations and a theoretical approach. After the jet is stopped, a deceleration wave for the SDR propagates downstream with a speed similar to that for axial velocity. Upstream of the deceleration wave, mean centreline SDR becomes proportional to axial distance, and inversely proportional to the square of time. After passing of the deceleration wave, normalised radial profiles of SDR and its
This study examines how recess length affects supercritical kerosene/oxygen combustion in a bi-swirl injector using Reynolds-averaged Navier–Stokes simulations at 200 bar. Five recess ratios (RR = 1.3–3.1) are analyzed to assess their impact on flame stabilization, swirl decay, pressure drop, thermal loading, and combustion efficiency. Real-fluid behavior is captured using the SRK equation of state with high-pressure transport-property corrections. Results show that RR 1.3–2.5 support a diffusio
Research Areas
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