Xin Electron Microscopy Group
Transmission Electron Microscopy Deeply Reinvented
Huolin Xin receives the 2021 MRS Early-Career Investigator Award and the MSA Burton Medal.
Huolin Xin receives the 2021 Beall Innovation Award in Physical Sciences
TEMImageNet.com , the first ImageNet project for the TEM community is now online!
We are proud to announce DeepEM Lab is the sole contributor to 2 repositories in the GitHub's Arctic Code Vault: xinhuolin/TomoFillNet, and xinhuolin/AtomSegNet. Learn more at: https://youtu.be/fzI9FNjXQ0o
Huolin Xin is the recipient of the 2020 UCI Academic Senate Distinguished Early-Career Faculty Award for Research
Huolin Xin was granted tenure on July 1, 2020.
Huolin Xin receives Early Career Award from DOE Office of Science (link)
Our seed project Developing Natural Language Processing Tools for Mining the Rapidly Evolving COVID-19 Literature was funded. Congrats to the DeepEM team! Let's use our deep learning expertise to join the fight against the pandemic.
Our electron tomography work done in collaboration with BNL Gang Group was selected Top-10 Science and Technology Achievements of 2019 by Brookhaven National Lab (link to the tomography image)
Huolin Xin is awarded $2.5 million grant to research next-generation lithium-ion batteries (link)
4/17/2017 Anomalous metal segregation in lithium-rich material provides design rule for stable cathode in lithium-ion battery link
3/28/2017 DeconvGUI app underwent major overhaul and version 1.1 has been released
11/20/2016 Preview of a brand new Tomography in the East -- TomoIE software package is now in preview online.
10/19/2016 In-situ TEM work in press in Nature Communications
05/4/2016 Electrocatalyst work published in Nature Communications
4/18/2014 Group member received the Distinguished Scholar Award.
Professor Huolin Xin's research group at UCI has published 36 articles in Science/Nature and Nature Sister Journals. (Corresponding author on 11) (7 Science, 2 Nature, 6 Nat Materials, 14 in Nat Communications, 3 Nat Nanotechnology, 2 Nature Catalysis, 2 Nature Energy, 1 Nature Chemistry).
Super-compression of large electron microscopy time series by deep compressive sensing learning, Patterns, 2,100292 (2021) link
Algorithms underlying the TEMImageNet and AtomSegNet are published link
0.7 Å resolution electron tomography enabled by deep learning aided information recovery, Advanced Intelligent Systems, https://doi.org/10.1002/aisy.202000152
Metal segregation in hierarchically structured cathode materials for high-energy lithium batteries, Feng Lin, Dennis Nordlund, Yuyi Li, Matthew K. Quan, Lei Cheng, Tsu-Chien Weng, Yijin Liu*, Huolin L. Xin* & Marca M. Doeff*, Nature Energy, 1, 15004 (2016) doi:10.1038/nenergy.2015.4