Qizhi Jiang

ORCID: 0000-0002-2384-8798
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About
Contact & Profiles
Research Areas
  • Photoreceptor and optogenetics research
  • Advanced Memory and Neural Computing
  • Computational Drug Discovery Methods
  • Neuroscience and Neural Engineering
  • Machine Learning in Materials Science
  • Analytical Chemistry and Chromatography
  • Gaze Tracking and Assistive Technology
  • Hand Gesture Recognition Systems
  • Teleoperation and Haptic Systems

East China University of Science and Technology
2023

Fudan University
2019-2020

Inspired by mussel chemistry, MoS 2 nanosheets coated with polydopamine were covalently functionalized gallium phthalocyanine. Biological synaptic functions and associative learning processes successfully simulated using memristors.

10.1039/d3tc00120b article EN Journal of Materials Chemistry C 2023-01-01

Donor-acceptor-type conjugated polymers are widely used in memristors due to their unique push-pull electron structures and charge transfer mechanisms. However, the inherently inhomogeneous microstructure of polymer films low crystallinity produce randomness that destabilizes formed conductive channels, giving polymer-based unstable switching behavior. In this contribution, we prepared a synaptic device based on PM6-MoS2 QD (molybdenum disulfide quantum dot) nanocomposites. composites, MoS2...

10.1021/acsami.3c12674 article EN ACS Applied Materials & Interfaces 2023-12-16

At the early stages of drug discovery, molecule toxicity prediction is crucial to excluding candidates that are likely fail in clinical trials. In this paper, we presented a novel molecular representation method and developed corresponding deep learning-based framework called TOP (the abbreviation TOxicity Prediction). integrated serial special data processing methods, bidirectional gated recurrent unit-based RNN (BiGRU) fully connected neural network for end-to-end learning chemical...

10.1109/bibm47256.2019.8983340 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2019-11-01
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