A5102776456- Advanced Sensor and Energy Harvesting Materials
- Conducting polymers and applications
- Supercapacitor Materials and Fabrication
- Advanced Memory and Neural Computing
- Biofuel production and bioconversion
- Polymer composites and self-healing
- Ferroelectric and Negative Capacitance Devices
- biodegradable polymer synthesis and properties
- Advanced Polymer Synthesis and Characterization
- Bone Tissue Engineering Materials
- Polymer crystallization and properties
- Advanced Cellulose Research Studies
- Hydrogels: synthesis, properties, applications
- Catalysis for Biomass Conversion
- Advanced battery technologies research
- Click Chemistry and Applications
- Titanium Alloys Microstructure and Properties
- Electrochemical Analysis and Applications
- Polymer Nanocomposites and Properties
- Dementia and Cognitive Impairment Research
- Electrospun Nanofibers in Biomedical Applications
- Semiconductor materials and devices
- Lignin and Wood Chemistry
- Aerogels and thermal insulation
- Electromagnetic wave absorption materials
Tsinghua University
2018-2024
Dezhou University
2020-2024
Tianjin University
2006-2024
Alibaba Group (China)
2022-2024
Alibaba Group (Cayman Islands)
2024
Guangxi Academy of Sciences
2024
Duke University
2024
Hubei University of Arts and Science
2015-2023
Universidad Politécnica de Madrid
2022
Institute of Microelectronics
2018-2021
Miscanthus is a leading bioenergy crop with enormous lignocellulose production potential for biofuels and chemicals. However, recalcitrance leads to biomass process difficulty an efficient bioethanol production. Hence, it becomes essential identify the integrative impact of recalcitrant factors on cellulose accessibility enzymatic hydrolysis. In this study, we analyzed four typical pairs accessions that showed distinct cell wall compositions sorted out three major affected saccharification...
With the development of various gel-based flexible sensors, novel gels with multiple integrated and efficient properties, particularly recyclability, have been developed. Herein, a starch-based ADM (amylopectin (AP)-poly(3-[dimethyl-[2-(2-methylprop-2- enoyloxy)ethyl]azaniumyl]propane-1-sulfonate) (PDMAPS)-MXene) gel is prepared by facile "cooking" strategy accompanying gelatinization AP polymerization reaction zwitterionic monomers. Reversible crosslinking in occurs through hydrogen bonding...
Abstract A new kind of polysiloxane‐supported ionogel is successfully designed via locking ionic liquids (ILs), 1‐ethyl‐3‐methylimidazolium bis(trifluoromethylsulfonyl)imide ([EMIM][Tf 2 N]), into poly(aminopropyl‐methylsiloxane) (PAPMS) grafted with [2‐(methacryloyloxy)ethyl] trimethylammonium chloride (METAC) in the presence tannic acid (TA). The novel exhibits good mechanical and recovery properties, as well high conductivity (1.19 mS cm −1 ) at 25 °C. In addition, totally physical...
Altered carbon assimilation and cellulose accessibility to maximize bioethanol yield under low-cost biomass processing in corn brittle stalk.
The integrals of the linear loss shear modulus vs. temperature (loss area, LA) and tan δ (tan TA) were characterized for various core/shell latex particles with synthetic rubber, poly(butadiene-stat-styrene) [P (Bd/S), 90/10], interpenetrating polymer networks (IPN) as cores. IPN cores composed P(Bd/S) (Tg ≃ − 70°C) an acrylate based copolymer around 10°C) potential impact damping improvement in thermoplastics. Poly(styrene-stat-acrylonitrile) (SAN, 72/28) was shell all these polymers. Under...
Deep neural network (DNN), as a very important machine learning technique in classification and detection tasks for images, video, speech wellas audio, has recently received tremendous attention. Integral Stochastic Computation (Integral SC), on the other hand, proved its extraordinary ability hardware implementation of DNNs. Thesoftmax layer is generally used multi-classification basic However, softmax expensive cause exponentiation division computation. In this paper, we designed an...
Abstract INTRODUCTION We investigated the validity, feasibility, and effectiveness of a voice recognition‐based digital cognitive screener (DCS), for detecting dementia mild impairment (MCI) in large‐scale community elderly participants. METHODS Eligible participants completed demographic, cognitive, functional assessments DCS. Neuropsychological tests were used to assess domain‐specific global cognition, while diagnosis MCI relied on Clinical Dementia Rating Scale. RESULTS Among 11,186...