In-Ho Lee

Affiliation: Korea Research Institute of Standards and Science (KRISS)

Research Interests: superfunctional materials design, metasurface design, and artificial intelligence

Title: Designing and exploring super functional materials and devices using deep learning and evolutionary learning methods

Abstract: We introduce a method for designing super functional crystal structures and devices using evolutionary learning and deep learning techniques. Specifically, we present a protocol that combines first – principles electronic structure calculations with global optimization method for super functional cr ystal structure design. Additionally, we describe a data – driven approach for exploring novel crystal structures using generative models. We provide examples of how these methods have been applied to design and explore materials for various applications, in cluding solar cell materials, LED materials, high – mobility materials, topological materials, superconducting materials, and topological – superconducting materials. Finally, we outline a frequency – selective filter design method for 5G communication applicati ons and provide examples of its applications.