13 citations · 17 across the 5 of their papers we have counts for
7 papers
Redox-Active Halide Materials for Cathode Applications
Zhuohan Li, Gerbrand Ceder
Electrochemically redox-active halide (eREAL) materials are an emerging class of materials that combine high Li-ion conductivity with transition-metal redox activity, making them p…
CASCADE: Cumulative Agentic Skill Creation through Autonomous Development and Evolution
Xu Huang, Junwu Chen, Yuxing Fei +3
Large language model (LLM) agents currently depend on predefined tools or early-stage tool generation, limiting their adaptability and scalability to complex scientific tasks. We i…
Hierarchical high-throughput screening of alkaline-stable lithium-ion conductors combining machine learning and first-principles calculations
Zhuohan Li, KyuJung Jun, Bowen Deng +1
Solid-state batteries require lithium-ion conductors that combine high ionic conductivity with stability under harsh electrochemical and chemical conditions. Here, we investigate t…
Li+/H+ exchange in solid-state oxide Li-ion conductors
Zhuohan Li, Benjamin X. Lam, Shilong Wang +1
Understanding the moisture stability of oxide Li-ion conductors is important for their practical applications in solid-state batteries. Unlike sulfide or halide conductors, oxide c…
Investigating the Degradation of LATP Solid Electrolyte in High Alkaline Li- Batteries
Tara P Mishra, Zhuohan Li, Meghan Shen +8
In this study, we address the challenge of electrolyte degradation in all-solid-state humidified Li- batteries, which offer high theoretical energy density and potential cost…
Alkaline earth metal mediated inter-molecular magnetism in perfluorocubane dimers and chains
Zhuohang Li, Cong Wang, Linwei Zhou +4
Perfluorocubane () was successfully synthesized and found to accept and store electrons in its internal cubic cavity to form magnetic moments. However their inter-molecule…
Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning
Bowen Deng, Yunyeong Choi, Peichen Zhong +6
Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements have seen the emergence of universal MLIPs (uMLIPs) that…