Laboratory Introduction
The language of intelligent life is "ions," while the language of artificial intelligence is "electrons." In intelligent life, signal generation and processing are controlled by ion channels at the nanoscale, which regulate ion transport, generate action potentials on micron-sized neurons, and transmit signals and store information in large-scale neural networks. To build high-throughput, low-energy brain-like computing systems and break through the barriers of information exchange between intelligent life and artificial intelligence, the "Neuro-bionic Materials and Devices" laboratory conducts interdisciplinary research across chemistry, materials science, electronics, and biology, focusing on "neuro-bionic materials, brain-like computing devices, and neural regulation technologies." By mimicking the low-energy, high-throughput information processing models of intelligent organisms, the laboratory controls material structures and interfaces to construct a controllable ion transport system. The research aims to reveal the interactions between ion transport/electrochemical signals and material structure/interfaces, building brain-like computing hardware using "ions" as the language. This hardware is equipped with new neural computing software, enabling the construction of bio-interactive information devices for biological signal regulation.
 The "Neuro-inspired materials and devices" lab was established in 2021, led by Dr. Kai Xiao (a Humboldt scholar and a national high-level talent recipient; obtained a bachelor's degree from Jilin University in 2012, a PhD degree from the Institute of Chemistry of the Chinese Academy of Sciences in 2017, and engaged in postdoc research at the Max Planck Institute and Leibniz Institute in Germany from 2017 to 2021). The research group currently has 4 postdoc students, 2 PhD students, 6 master students and 5 research assistants. Since its establishment, the research group has focused on neural inspired materials and brain like calculator devices in Nat Commun, Sci Adv. and others have published multiple papers, and have undertaken and participated in multiple funds such as the National Science and Technology Foundation, the Ministry of Science and Technology, the Science and Technology Commission, and provinces and cities. The research group is recruiting postdoctoral fellows and research assistants for a long time. Students majoring in materials, chemistry, biomedical engineering, neural computing, electronic circuits, and other fields are welcome to join! |
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