Dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding

Dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding

Understanding lithium ion dynamics holds the key to unlocking better battery materials and devices. Here, by combining electron energy-loss spectroscopy and machine learning, the authors reveal how lithium is extracted from LiCoO2 cathode used in a solid-state battery.

Bibliographic Details
Main Authors: Yuki Nomura, Kazuo Yamamoto, Mikiya Fujii, Tsukasa Hirayama, Emiko Igaki, Koh Saitoh
Format: Article
Language:English
Published: Nature Publishing Group 2020-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-16622-w
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spelling doaj-60af10b3aeac4777994a66ecfc39fff12021-06-06T11:16:15ZengNature Publishing GroupNature Communications2041-17232020-06-011111910.1038/s41467-020-16622-wDynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse codingYuki Nomura0Kazuo Yamamoto1Mikiya Fujii2Tsukasa Hirayama3Emiko Igaki4Koh Saitoh5Technology Innovation Division, Panasonic CorporationNanostructures Research Laboratory, Japan Fine Ceramics CenterTechnology Innovation Division, Panasonic CorporationNanostructures Research Laboratory, Japan Fine Ceramics CenterTechnology Innovation Division, Panasonic CorporationInstitute of Materials and Systems for Sustainability, Nagoya UniversityUnderstanding lithium ion dynamics holds the key to unlocking better battery materials and devices. Here, by combining electron energy-loss spectroscopy and machine learning, the authors reveal how lithium is extracted from LiCoO2 cathode used in a solid-state battery.https://doi.org/10.1038/s41467-020-16622-w
collection DOAJ
language English
format Article
sources DOAJ
author Yuki Nomura
Kazuo Yamamoto
Mikiya Fujii
Tsukasa Hirayama
Emiko Igaki
Koh Saitoh
spellingShingle Yuki Nomura
Kazuo Yamamoto
Mikiya Fujii
Tsukasa Hirayama
Emiko Igaki
Koh Saitoh
Dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding
Nature Communications
author_facet Yuki Nomura
Kazuo Yamamoto
Mikiya Fujii
Tsukasa Hirayama
Emiko Igaki
Koh Saitoh
author_sort Yuki Nomura
title Dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding
title_short Dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding
title_full Dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding
title_fullStr Dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding
title_full_unstemmed Dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding
title_sort dynamic imaging of lithium in solid-state batteries by operando electron energy-loss spectroscopy with sparse coding
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-06-01
description Understanding lithium ion dynamics holds the key to unlocking better battery materials and devices. Here, by combining electron energy-loss spectroscopy and machine learning, the authors reveal how lithium is extracted from LiCoO2 cathode used in a solid-state battery.
url https://doi.org/10.1038/s41467-020-16622-w
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AT kazuoyamamoto dynamicimagingoflithiuminsolidstatebatteriesbyoperandoelectronenergylossspectroscopywithsparsecoding
AT mikiyafujii dynamicimagingoflithiuminsolidstatebatteriesbyoperandoelectronenergylossspectroscopywithsparsecoding
AT tsukasahirayama dynamicimagingoflithiuminsolidstatebatteriesbyoperandoelectronenergylossspectroscopywithsparsecoding
AT emikoigaki dynamicimagingoflithiuminsolidstatebatteriesbyoperandoelectronenergylossspectroscopywithsparsecoding
AT kohsaitoh dynamicimagingoflithiuminsolidstatebatteriesbyoperandoelectronenergylossspectroscopywithsparsecoding
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