Neuro-inspired materials and devices Lab
The language of intelligent life is "ions", and the language of artificial intelligence is "electrons". To build a high-throughput and low-power brain-like computing system, the "Neuro-inspired Materials and Devices Lab" conducts interdisciplinary research of ionic energy and computing materials and devices involving chemistry, materials, information, and biology, which has the potential to break through the barriers of information exchange between intelligent life and artificial intelligence. We constructed a bioinspired multi-scale ion transport system, including nanofluidic system and soft ionic conductor system, revealed the interaction law between ion transport behavior and material structure/interface, fabricated a series of ionic energy devices (e.g., ion pump/ion-electron Coulomb drag energy generator) and ionic brain-like devices (e.g., ionic memristor/ionic neuromorphic chips). We hope the energy and neuromorphic devices using "ions" as language have the potential for realizing brain-machine hybrid intelligence.
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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