Zhimei Sun

Papers

Total Citations

107

H-Index

About

Zhimei Sun is a pioneering researcher at the intersection of materials science and artificial intelligence, with key contributions to energy storage materials and AI-driven scientific discovery. Her most cited work, a 2019 study on MoS₂/Ti₂CT₂ heterostructures (93 citations), demonstrated how these flexible anode materials could revolutionize lithium/sodium ion batteries for wearable electronics and soft robotics, addressing the critical challenge of stretchability in energy storage. More recently, Sun has ventured into the transformative field of AI-driven materials science, as evidenced by her 2025 paper on knowledge-guided large language models (14 citations). This work positions her at the forefront of a paradigm shift from traditional data-driven methods to AI-powered scientific research, leveraging the capabilities of large language models to accelerate materials discovery. With a career spanning both experimental materials design and computational innovation, Sun’s research has garnered significant attention for its practical implications in next-generation flexible electronics and its methodological advances in applying artificial intelligence to complex materials problems. Her work continues to inspire researchers exploring the convergence of nanotechnology, energy storage, and machine learning.