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Designing 'new materials' using computers? Professor Cha Pil-ryung, School of Materials Science & Engineering
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Designing Future Materials Through Computation Professor Cha Pil-ryeong of the School of Materials Science & Engineering at Kookmin University leads the Computational Material Science Lab, conducting research on next-generation material design based on computer simulations. Computational materials science is a research field that analyzes various physical and chemical phenomena occurring within materials on computers and uses this to predict and design new materials. Professor Cha's lab focuses particularly on developing Phase Field models to predict material microstructures. Microstructure is a key factor determining material performance. The lab aims to build computational models capable of precisely predicting this, targeting applications across diverse industrial fields such as structural materials, semiconductors, and energy materials.
Integrated Design Technology Linking Process–Microstructure–Properties The Computational Materials Science Laboratory's flagship research is the development of an Integrated Module for Process-Microstructure-Property Design of Structural and Safety Materials. A material's manufacturing process alters its internal microstructure, which in turn determines its properties. The lab implements this PSP correlation using computer simulation and AI technology, developing techniques to predict optimal process conditions and microstructures for achieving desired properties. This aims to shorten the time from material design to commercialization and dramatically reduce R&D costs.
Corrosion-Resistant Materials and Next-Generation Semiconductor Research The lab is also actively conducting applied research with significant industrial impact. Computer simulation-based corrosion-resistant material design technology was developed and applied to biodegradable magnesium alloy design, achieving commercialization success through collaboration with the Korea Institute of Science and Technology (KIST). Furthermore, through ferroelectric-based non-volatile semiconductor memory research, the lab is preparing next-generation semiconductor technology by developing a simulation module for analyzing the microstructure and polarization characteristics of ferroelectric materials.
Accelerating Material Development through National Research Projects Professor Cha operates the Structural and Safety Materials Process Consortium Design Research Group, launched with support from the Ministry of Science and ICT. This group conducts research to shorten development times from material design to scale-up processes. The simulation modules developed through this research will be made publicly available to general researchers and expanded into a material design platform. Concurrently, he participates in a national project to accelerate AI-based material development, building computational science-based databases for process, microstructure, and physical property data in the ferroelectric materials field.
New Materials Research Preparing for the AI Era Professor Cha anticipates AI will become an essential foundational tool for new materials researchers, predicting that the Autonomous Lab—combining automated experiments with AI—will be central to future research environments.
A Lab Where Joyful Immersion Thrives Professor Cha cites “an environment where one can deeply immerse themselves while enjoying the work” as his most important research philosophy. He guides students to take pride in their research and grow, striving to cultivate research talent who will lead future industries through computational science-based material design.
Professor Cha Pil-ryung's Lab Introduction Page Kookmin University School of Materials Science & Engineering Homepage
Designing 'New Materials' with Computers? | The World of Computational Materials Science. Professor Cha Pil-ryung, School of Materials Science & Engineering Computational Materials Science Laboratory Computational Materials Science is the collective term for research that interprets various phenomena occurring in materials using computers and designs new materials. In this video |
