Xiaonan Tang

ORCID: 0000-0003-3467-1059
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Advanced Battery Technologies Research
  • Advanced battery technologies research
  • Adsorption and biosorption for pollutant removal
  • Supercapacitor Materials and Fabrication
  • Extraction and Separation Processes
  • Atmospheric chemistry and aerosols
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Parallel Computing and Optimization Techniques
  • Embedded Systems Design Techniques
  • Machine Learning in Materials Science
  • Synthesis and properties of polymers
  • Semiconductor materials and interfaces
  • Environmental Toxicology and Ecotoxicology
  • Atmospheric Ozone and Climate
  • Air Quality and Health Impacts
  • Advanced Data Storage Technologies
  • Ferroelectric and Negative Capacitance Devices
  • CCD and CMOS Imaging Sensors
  • Conducting polymers and applications
  • Plant responses to elevated CO2
  • Graphene research and applications
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Atmospheric and Environmental Gas Dynamics

First Affiliated Hospital of Kunming Medical University
2025

Kunming Medical University
2025

George Washington University
2024

Shandong University of Technology
2013-2023

Chinese Academy of Sciences
2016-2022

Southeast University
2022

Nanjing Institute of Geography and Limnology
2022

Yunnan University
2015

Chinese Academy of Meteorological Sciences
2015

The kinetics and stability of the redox lithium polysulfides (LiPSs) fundamentally determine overall performance lithium-sulfur (Li-S) batteries. Inspired by theoretical predictions, we herein validated existence a strong electrostatic affinity between polymeric carbon nitride (p-C3N4) LiPSs, that can not only stabilize cycling but also enhance their kinetics. As result, utilization p-C3N4 in Li-S battery has brought much improved aspects high capacity low fading over prolonged cycling....

10.1021/acsami.6b05647 article EN ACS Applied Materials & Interfaces 2016-09-06

Lithium–Sulfur (Li–S) batteries are among the most promising next‐generation secondary battery technologies due to their high theoretical energy density. However, Li–S reaction is a multistep process and solid–liquid–solid phase transition process, relating complex kinetics. Moreover, poor conductivity of sulfur hinders effective electron transport, large volume expansion leads electrode pulverization, causing lose electrical contact, which decreases In this review, factors influencing...

10.1002/ente.201900574 article EN Energy Technology 2019-09-05

The Lithium-Sulfur (Li-S) battery is the most promising next-generation secondary due to its high theoretical energy density but suffers from complex Li-S reaction kinetics. In article number 1900574, key factors and insights into kinetics process in electrochemistry are reviewed. Additionally, provided on direction of future kinetic investigations batteries. More details can be found 1900574 by Xiaonan Tang co-workers.

10.1002/ente.201980391 article EN Energy Technology 2019-12-01

The volume expansion of a sulfur cathode can be accommodated by fabricating composite structure with soft sorbent (graphene) and hard skeleton (SiC) material in lithium batteries.

10.1039/c7ta07063b article EN Journal of Materials Chemistry A 2017-01-01

Lithium-sulfur batteries have attracted extensive attention owing to their environmental friendliness, abundant reserves, high specific discharge capacity, and energy density. The shuttling effect sluggish redox reactions confine the practical application of Li-S batteries. Exploring new catalyst activation principle plays a key role in restraining polysulfide improving conversion kinetics. In this respect, vacancy defects been demonstrated enhance adsorption catalytic ability. However,...

10.3390/nano13050909 article EN cc-by Nanomaterials 2023-02-28

DNN inference of edge devices has been very important for a long time with large computing and energy consumption demand. This paper proposes TPE(Transformation Process Element) three characteristics. Firstly, TPE method Data Segmentation Skip Pre-Reorganization(DSSPR). Secondly, Typical Value Matching Calibration Computer (TVMCC) system, which converts direct calculation into matching calibration calculation. Thirdly, includes Format Pre-Configuration Self-Adjustment (DFPCSA) scheme....

10.1109/aicas57966.2023.10168614 article EN 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2023-06-11
Coming Soon ...