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Prof. Tong Wu

College of Chemistry, Chemical Engineering and Materials Science, Soochow University

Co-Affiliations:Jeon Y, Kim D, Biswas C, et al. (likely affiliation: Jeonbuk National University, Korea; University of Science and Technology of China)

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3559-5

Positively Charged Polyamide Membranes with Expanded Ion Passage Channels Enabling Exceptional Lithium Extraction from Battery Leachate

Polyamide (PA) membranes are promising for lithium extraction from spent lithium-ion battery (LIB) leachate but face a trade-off between selectivity and permeability. Here, we demonstrate that nascent PA membranes post-grafted with triaminoguanidinium (TAG) monomers (PA-TAG membranes) gain expanded ion passage channels (0.8–7.1 Å) and enhanced positive charge, achieving high-performance lithium separation. The PA-TAG membrane exhibits a pure water permeance (PWP) of 15.5 L m−2 h−1 bar−1, superior divalent ion rejection (~98%), and an excellent separation factor (~30), significantly outperforming pristine PA membranes. In a simulated acidic battery leachate, the PA-TAG membrane achieved a relative volumetric lithium recovery rate of 48.2% after a two-stage nanofiltration process, with the Li+/M2+ mass ratio of the second permeate reaching 53.35, 445 times that of the feed (0.12). The membrane maintained stable performance over 45 hours of nanofiltration and resisted acidic conditions (pH=2) for at least 20 days. These results highlight the potential of PA-TAG membranes for efficient lithium extraction from acidic battery leachate, addressing the critical need for sustainable recycling of spent LIBs.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3839-4

WO3−x:N/ZnO:N Broadband Optoelectronic Synapse for Object Detection in Edge Computing

Broadband optoelectronic memristors with high computational efficiency and low power consumption are pivotal for neuromorphic computing at the edge. This work presents a Ag/WO3−x:N/ZnO:N/ITO memristor exhibiting dual-modal synaptic plasticity. Electronic synaptic properties emulate biological plasticity, while photoresponse to multiple wavelengths, including simultaneous dual-wavelength stimulation, yields composite photocurrents. Leveraging these characteristics, single- and dual-wavelength artificial vision arrays simulate human visual perception. An artificial neural network integrated with a Field Programmable Gate Array (FPGA) forms a floating-point arithmetic system for object detection. The edge computing system achieves a 103-fold reduction in power consumption, addressing computational power limitations and enabling floating-point operations in embedded neuromorphic deployments. This work advances broadband optoelectronic synapses for efficient, low-power edge computing.

Prof. Tong Wu | Publications & Academic Profile | SinoGreenTech | SinoGreenTech