A5000718723- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Supramolecular Chemistry and Complexes
- Supramolecular Self-Assembly in Materials
- biodegradable polymer synthesis and properties
- Advanced Memory and Neural Computing
- Metal-Organic Frameworks: Synthesis and Applications
- Covalent Organic Framework Applications
- Advanced Sensor and Energy Harvesting Materials
- Neural dynamics and brain function
- 3D Printing in Biomedical Research
- Various Chemistry Research Topics
- Pancreatic and Hepatic Oncology Research
- Advanced Materials and Mechanics
- Neurological disorders and treatments
- thermodynamics and calorimetric analyses
- Crystallography and molecular interactions
- Polymer composites and self-healing
- Silicone and Siloxane Chemistry
- Dielectric materials and actuators
- Natural Fiber Reinforced Composites
- EEG and Brain-Computer Interfaces
- Membrane Separation and Gas Transport
- Adsorption, diffusion, and thermodynamic properties of materials
- Pickering emulsions and particle stabilization
Harvard University
2022-2025
Broad Institute
2025
Harvard University Press
2024-2025
Hebei University of Science and Technology
2021
Shijiazhuang University
2021
State Key Laboratory of Chemical Engineering
2019
Zhejiang University
2018-2019
Hangzhou Xixi hospital
2018
Lanzhou Institute of Chemical Physics
2013
University of Vermont
2010
Abstract Whey, a by‐product of cheese making, contains whey proteins, lactose, vitamins, and minerals. Whey proteins are still not fully used. In this study, protein‐based aqueous polymer‐isocyanate (API) adhesives were developed characterized by bond test, Fourier transform infrared (FTIR) spectroscopy, scanning electron microscope (SEM) for strength, chemical structures, morphology. The optimized API adhesive Glulam had 28‐h boiling‐dry‐boiling wet strength 6.81 MPa dry 14.34 MPa. Results...
Biological systems are composed of diverse, interconnected cell types, yet capturing both their functional dynamics and molecular identities at high spatiotemporal resolution remains challenging. While electrophysiological measurements provide real-time insights into cellular activities, they cannot fully describe the architecture states measured cells. Conversely, transcriptomics reveals gene expression patterns but does not capture states. Bridging these modalities is essential for a...
Spatial transcriptomics has revolutionized our understanding of tissue organization by simultaneously capturing gene expression and spatial localization within intact tissues. However, analyzing these increasingly complex datasets requires specialized expertise across computational biology, statistics, biological context. To address this challenge, we introduce the Transcriptomics AI Agent (STAgent), an autonomous multimodal agentic that integrates large language models (LLMs) with tools to...
The isomers of 3D TQ-CMP and 2D TQ-CQN was made toward the applications gas adsorption hydrogen evolution reaction, which clarified interrelation between microstructure conductivity for structural design functional exploration.
Ionic conductivity and membrane capacitance are two foundational parameters that govern neuron excitability. Conventional optogenetics has emerged as a powerful tool to temporarily manipulate ionic in intact biological systems. However, no analogous method exists for precisely manipulating cell enable long-lasting modulation of neuronal Genetically targetable chemical assembly conductive insulating polymers can modulate capacitance, but further development this technique been hindered by...
A novel supramolecular mechanically interlocked crosslinker was designed and used to prepare a polymer network.
A double metallacycle was prepared via the size-selective integrative self-sorting of four different building blocks driven by a reversible metal–ligand coordination interaction. hydrophobic dendron placed on and hydrophilic attached to other metallacycle, producing two-faced Janus-type supramolecule with two distinct functionalities. In aqueous media, hierarchical self-assembly supramolecular system induced combination interactions hydrophobic–hydrophilic resulting in formation...
Brain–machine interfaces (BMIs) offer the potential for development of communication tools between brain and external devices. The current BMI technologies recording modulation electric signals from have made significant contributions to areas such as neuroscience, disease diagnosis, rehabilitation. Next-generation BMIs require long-term stable electrical statistically neuron populations with millisecond single-cell spatiotemporal resolution. However, there are challenges achieving this...
Abstract The design of bioelectronics capable stably tracking brain-wide, single-cell, and millisecond-resolved neural activities in the developing brain is critical to study neuroscience neurodevelopmental disorders. During development, three-dimensional (3D) structure vertebrate arises from a 2D plate 1,2 . These large morphological changes previously posed challenge for implantable track activity throughout development 3–9 Here, we present tissue-level-soft, sub-micrometer-thick,...