Brief summary

Graph theory is emerging as a powerful framework for engineering high-performance materials, enabling structural disorder to be harnessed as a functional design parameter rather than a detriment. This presentation will examine how topological descriptors derived from microscopy images are reshaping our understanding of complex hierarchical structures and multi-body interactions, and discuss their implications for day-to-day sustainable nanocomposites, transparent electrodes, membranes, and battery cathodes.

[Biography]

• Irving Langmuir Distinguished University Professor of Chemical Sciences and Engineering, University of Michigan

• Global Pioneer in Nanoparticle Self-Assembly, Biomimetic Nanostructures, and Chiral Nanomaterials

• Member of the US National Academy of Engineering (2025)

Brief summary

The rapid growth of artificial intelligence is transforming how we discover materials, enabling us to explore millions of candidate structures far beyond the reach of traditional scientific methods. This presentation will examine how AI, molecular simulations, and metal–organic frameworks (MOFs) are reshaping the balance between data-driven prediction and physical understanding, and discuss the implications for the future of scientific discovery in the quest for net-zero emissions.

[Biography]

• Professor of Chemical Engineering, EPFL (Former Professor at UC Berkeley & LBNL)

• World-Renowned Authority in Molecular Simulation and Carbon Capture Technologies

• Foreign Member of the Royal Netherlands Academy of Arts and Sciences (KNAW)

Brief summary

배터리 산업은 차세대 기술의 부상과 신규 응용 분야 확대로 인해, 성능 향상과 원가 절감이라는 복합적인 과제에 직면해 있습니다. 본 강연에서는 이러한 시장 변화에 대응하는 포스코퓨처엠의 소재 포트폴리오 전환 전략을 살펴보고, 세그먼트별 맞춤형 양극재와 친환경 음극재 공정 혁신을 중심으로 한 기술적 해법을 조망하며, 개방형 혁신을 통해 지속가능한 미래를 선도할 구체적인 로드맵을 제시합니다.

[Biography]

• 호주 뉴사우스웨일스대학교 무기재료공학 박사

• LG화학 기술전략, 신사업개발, Display 재료사업 총괄

• 포스크홀딩스 미래기술연구원 이차전지연구소장

• 포스코퓨처엠 기술연구소장