Paper Title
RECENT ADVANCEMENTS OF HYBRID INTELLIGENCE APPROACHES FOR NANOSCIENCE AND COMPUTATIONAL MATERIALS

Abstract
Abstract - This review paper summarizes the recent advancements of hybrid intelligence approach – a synergistic combination of human intelligence and artificial intelligence. This paper reviews its recent applications to nanoscience and computational physics. The hybrid intelligence’s two pillarsare human intelligence and artificial intelligence to understand, learn, and unravel complex physics rules behind challenges of small data, interwoven multiple physics, and the lack of known first principle. The human intelligence offers creative insights and basic physics knowledge while artificial intelligence offers rule-searching capabilities and powerful computations. The applications span diverse frontiers at nanoscience and materials science. This paper provides a summary about their notable performances and their promising potentials. Keywords - Nanoscience, Computational Physics, Bubble Transition, Computational Materials, Machine Learning.