Son Research Lab Computational Modeling for Energy/Bio Soft Materials Research


Our lab is a collective of molecular simulation research investigators with an interest in studying the energy/bio soft materials. Molecular simulation is performed to quantitatively analyze the structure, dynamics, thermodynamics and reaction kinetics of several systems from the physical models given. Our mission is not only to provide the microscopic understanding of various molecular-level phenomena, but also to develop the advanced computational techniques / algorithms to properly capture the underlying physics and enhance the predictive power of molecular simulation. We have strong expertise in running classical molecular dynamics (MD) simulation, as well as high-performance supercomputing ecosystem equipped with ~150 GPUs for highly efficient computation. We have formed a strong network of research and experimental collaborations to pursue innovative studies in computational chemistry research.

Our Research

Our Research

We are computational chemistry lab at SNU Department of Chemistry.

Our lab develops molecular simulations to solve problems that are critical in energy / bio applications. We use & develop statistical mechanics / molecular dynamics / coarse-grained methods / machine-learning / big data analysis to understand the mechanisms of chemical processes and help designing new functional materials.

Our Team

Our Team

We are a group of graduate students and post-docs with a passion for running molecular simulations and advancing computational algorithms. We are looking for motivated individuals with a passion for computational chemistry research. If you’re interested, please consider joining us.

News

See below for the latest Son Research Lab news!

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2024

2023

2022

Our group's first paper published on Nature!
Our group's first paper published on Nature!

Our group’s work collaborated with Dr. Dong Won Chun “ Metastable hexagonal close-packed palladium hydride in liquid cell TEM “ is published on Nature. Congratulations!

2020

Our research is highlighted in ChemWorld as 'This month's highlight'(in Korean)! It would be useful introduction to new researchers interested in predictive molecular simulations!
Our research is highlighted in ChemWorld as 'This month's highlight'(in Korean)! It would be useful introduction to new researchers interested in predictive molecular simulations!

You can read the article here! It would be useful introduction to new researchers interested in predictive molecular simulations!