Wan Shou

Dr. Wan Shou

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 January 2022 in Matter
Verified
Journal Article
Closed access
SPSoyeon Park
Soyeon Park
WSWan Shou
Wan Shou
LMLiane Makatura
Liane Makatura
WMWojciech Matusik
Wojciech Matusik
Kun FuKun Fu
Kun Fu

24 March 2021 in Nature Electronics
Verified
Journal Article
Closed access
PDF file
YLYiyue Luo
Yiyue Luo
YLYunzhu Li
Yunzhu Li
PSPratyusha Sharma
Pratyusha Sharma
WSWan Shou
Wan Shou
KWKui Wu
Kui Wu
WMWojciech Matusik
Wojciech Matusik

17 March 2016 in Scientific Reports
Verified
Journal Article
Open access
BLBrandon Ludwig
Brandon Ludwig
ZZZhangfeng Zheng
Zhangfeng Zheng
WSWan Shou
Wan Shou
YWYan Wang
Yan Wang
Heng PanHeng Pan
Heng Pan
Lithium ion battery electrodes were manufactured using a new, completely dry powder painting process. The solvents used for conventional slurry-cast electrodes have been completely removed. Thermal activation time has been greatly reduced due to the time and resource demanding solvent evaporation process needed with slurry-cast electrode manufacturing being replaced by a hot rolling process. It has been found that thermal activation time to induce mechanical bonding of the thermoplastic polymer to the remaining active electrode particles is only a few seconds. Removing the solvent and drying process allows large-scale Li-ion battery production to be more economically viable in markets such as automotive energy storage systems. By understanding the surface energies of various powders which govern the powder mixing and binder distribution, bonding tests of the dry-deposited particles onto the current collector show that the bonding strength is greater than slurry-cast electrodes, 148.8 kPa as compared to 84.3 kPa. Electrochemical tests show that the new electrodes outperform conventional slurry processed electrodes, which is due to different binder distribution.

15 October 2021 in Science Advances
Verified
Journal Article
Open access
TETimothy Erps
Timothy Erps
MFMichael Foshey
Michael Foshey
MLMina Konaković Luković
Mina Konaković Luković
WSWan Shou
Wan Shou
HGHanns Hagen Goetzke
Hanns Hagen Goetzke
WMWojciech Matusik
Wojciech Matusik
Machine learning can aid the discovery of useful 3D printing material formulations.

24 April 2017 in Advanced Materials
Verified
Journal Article
Closed access
PDF file
WSWan Shou
Wan Shou
BMBikram Kishore Mahajan
Bikram Kishore Mahajan
BLBrandon Ludwig
Brandon Ludwig
XYXiaowei Yu
Xiaowei Yu
JSJoshua Staggs
Joshua Staggs
Heng PanHeng Pan
Heng Pan

17 September 2024 in Journal of Colloid and Interface Science
Verified
Journal Article
Closed access
TLTongda Lei
Tongda Lei
YWYongheng Wang
Yongheng Wang
YFYaya Feng
Yaya Feng
XDXingru Duan
Xingru Duan
QZQingsong Zhang
Qingsong Zhang
JFJie Fan
Jie Fan