Feng Chen

ORCID: 0000-0002-0408-8818
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Crystallization and Solubility Studies
  • X-ray Diffraction in Crystallography
  • Catalytic Processes in Materials Science
  • Advanced Nanomaterials in Catalysis
  • Polymer Nanocomposites and Properties
  • Ammonia Synthesis and Nitrogen Reduction
  • Advanced Battery Technologies Research
  • Advanced Photocatalysis Techniques
  • Industrial Gas Emission Control
  • Domain Adaptation and Few-Shot Learning
  • Microbial Metabolism and Applications
  • Multimodal Machine Learning Applications
  • Electric Vehicles and Infrastructure
  • Bacterial biofilms and quorum sensing
  • Electrochemical sensors and biosensors
  • Natural Language Processing Techniques
  • Antibiotic Resistance in Bacteria
  • Transportation and Mobility Innovations
  • Biochemical and Structural Characterization
  • Clay minerals and soil interactions
  • Advanced Image and Video Retrieval Techniques
  • Leaf Properties and Growth Measurement
  • Vehicle License Plate Recognition
  • Advanced Data Compression Techniques
  • Advanced Graph Neural Networks

Zhejiang Normal University
2024

South China University of Technology
2002-2023

Zhejiang Chinese Medical University
2020

China Huadian Corporation (China)
2019

Changsha University of Science and Technology
2018

Guangzhou Institute of Energy Conversion
2017

University of South China
2006-2016

Hengyang Academy of Agricultural Sciences
2016

XinHua Hospital
2012

Wuhan Puai Hospital
2009

Many traditional Chinese medicines, including Danhong injection (DHI), can be used to treat cerebral ischemia-reperfusion injury and have neuroprotective effects on the brain; however, few studies explored mechanism by which this effect is generated. In study, we investigated of DHI against mediated via PI3K-Akt signaling pathway. After establishing model middle artery occlusion (MCAO), 60 male Sprague-Dawley rats were allocated six groups as follows: sham, MCAO, (MCAO + DHI), LY294002...

10.3389/fphar.2020.00298 article EN cc-by Frontiers in Pharmacology 2020-03-11

10.1007/s11390-012-1302-4 article EN Journal of Computer Science and Technology 2012-11-01

The low-temperature selective catalytic reduction (SCR) of NOx is a promising technology for removing from flue gases. However, the vulnerability Mn-based catalysts to SO2 and H2O poisoning makes them unsuitable industrial application. Herein, based on MnOx/SAPO-34 were prepared by conventional impregnation an improved molecularly designed dispersion method use in SCR. catalyst containing 20 wt% MnOx exhibited high NH3-SCR activity. Nearly 90% was converted exclusively N2 at 160°C using this...

10.1080/09593330.2016.1216170 article EN Environmental Technology 2016-08-05

Experiments were conducted to investigate the influence of CaO and CaCO3 on capture efficiency heavy metals during combustion municipal solid waste (MSW) in CO2/O2 N2/O2 atmospheres. Six metal elements studied this paper, including Pb, Cd, Cu, Cr, Ni, Zn. On basis results, operating temperature has a great effect transformation Pb while amount Ni bottom ash are affected only slightly by changes atmosphere. The volatilization Zn marginally decreased with addition or atmosphere (oxy-fuel...

10.1021/acs.energyfuels.7b01140 article EN Energy & Fuels 2017-09-06

Optically transparent composites containing nanotubular clay up to 65 wt%, prepared by a facile “one-pot” process, exhibited high mechanical strength and heat resistance. The attractive characteristics of the composites, in addition their transparency, include use low-cost nontoxic raw materials, easy scaling-up, possible petroleum independence. properties were ascribed strong interfacial interactions excellent dispersion clay.

10.1080/00222340903346239 article EN Journal of Macromolecular Science Part B 2010-01-01

Electric vehicles (EV) are growing fast in recent years with the widespread concern about carbon neutrality. The development of charging infrastructures needs to be phase EV both terms quantity and time decrease range anxiety users resource waste. This paper proposed a multistage dynamic layout optimization model based on mixed integer linear programming (MILP) for stations (CSs) minimize total social costs (TSC) consisting detour cost construction, relocation, operating CSs. satisfaction...

10.3390/wevj12040243 article EN cc-by World Electric Vehicle Journal 2021-11-15

采用水热合成方法制备含锰的SAPO-34分子筛(MnSAPO-34)催化剂,考察了锰投加量、焙烧温度及晶化时间对催化剂氨选择性催化还原(SCR)氮氧化物反应活性的影响,并通过X射线光电子能谱(XPS)、程序升温还原(TPR)、程序升温脱附(TPD)等多种分析手段对催化剂进行表征.活性测试结果表明,当MnO与P_2O_5的摩尔比n_(MnO)/n_(P_2O_5)=0.1,采用6h晶化时间,550℃焙烧制备的MnSAPO-34分子筛具有最佳SCR活性NO_x转化率接近100%,N_2选择性高于80%.分析结果表明,Mn的引入对分子筛的晶体及多孔结构有较大影响过多的引入会降低结晶度及产生非骨架锰氧化物,同时还会降低分子筛的比表面积和孔容,但焙烧温度的降低以及晶化时间的缩短可以提高分子筛的比表面积和孔容.高温焙烧后分子筛表面出现了高氧化态锰物种,以Mn(4+)为主,而提高Mn(3+)的比例则有利于提高催化活性.在适当的合成条件下,Mn的引入可增强分子筛对NO和NH_3分子的吸附,而强吸附态NO及强吸附态NH_3的相互作用可能是催化活性快速提高的原因。

10.3866/pku.whxb201510201 article ZH-CN Acta Physico-Chimica Sinica 2015-01-01

Text-to-video (T2V) generation has gained significant attention due to its wide applications video generation, editing, enhancement and translation, \etc. However, high-quality (HQ) synthesis is extremely challenging because of the diverse complex motions existed in real world. Most existing works struggle address this problem by collecting large-scale HQ videos, which are inaccessible community. In work, we show that publicly available limited low-quality (LQ) data sufficient train a...

10.48550/arxiv.2408.10119 preprint EN arXiv (Cornell University) 2024-08-19

Automatic scoring of subjective questions is the key to intelligent marking system. Aiming at problem low accuracy in existing question automatic grading system and combining with characteristics teachers' artificial grading, this paper studies implements an handwritten short answer based on deep learning.

10.1109/icaiis49377.2020.9194943 article EN 2020-03-01

This paper aims to solve the task of generating yes or no questions, which generates yes/no questions based on given passages. These can be used for evaluation automatically. We propose a double phases generation network that identify specific phrases related facts from input passage and use them as auxiliary information generation. Specifically, 1st-phase prediction uses extracted assistance generate an initial question. Then, 2nd-phase utilizes attention focus relevant question in are more...

10.1609/aaai.v35i18.17962 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2021-05-18
Coming Soon ...