Kim Chang Eun
About Kim Chang Eun
Kim Chang Eun is a Research Scientist at Lawrence Livermore National Laboratory, specializing in materials science and data science. With a background in experimental materials science and advanced computational methods, he focuses on optimizing materials for quantum computing devices.
Work at Lawrence Livermore National Laboratory
Kim Chang Eun has been employed as a Research Scientist at Lawrence Livermore National Laboratory since 2021. In this role, she focuses on data science to enhance materials study, particularly in optimizing materials performance for quantum computing devices. Her work integrates computer simulations, experiments, and data science into a unified engineering platform for materials science. Prior to her current position, she served as a Postdoctoral Researcher at the same laboratory from 2018 to 2021.
Education and Expertise
Kim Chang Eun holds a Bachelor of Science in Materials Science and Engineering from Yonsei University. She furthered her education at Purdue University, where she earned a Doctor of Philosophy in the same field from 2015 to 2018. Additionally, she obtained a Master of Science in Materials Science and Engineering from Yonsei University from 2013 to 2015. Her expertise includes density-functional theory, molecular dynamics, and finite element methods, which are applied in her materials research.
Background in Research
Before her tenure at Lawrence Livermore National Laboratory, Kim Chang Eun worked as a Research Assistant at Purdue University from 2015 to 2018. She also gained experience at the Korea Institute of Science and Technology and Yonsei University as a Research Assistant from 2013 to 2015. This diverse background has provided her with extensive training in experimental materials science, including synthesis, fabrication, and microstructure analysis.
Research Contributions and Publications
Kim Chang Eun has contributed to the field of materials science through her research, with some of her work featured on a journal cover page. Her research efforts focus on enhancing materials performance, particularly for applications in quantum computing. She utilizes high-performance computer simulations to achieve these goals, demonstrating her commitment to advancing materials science through innovative approaches.