Unraveling Multiphase Conversion Pathways in Lithium–Sulfur Batteries through Cryo Transmission Electron Microscopy and Machine Learning-Assisted Operando Neutron Scattering

Understanding the complex physicochemical processes in conversion-type batteries requires investigations across multiple length scales. Here, we present a methodological approach to examine Li-S batteries on the nanoscale by combining cryogenic transmission electron microscopy (cryoTEM) with operando small-angle neutron scattering (SANS). CryoTEM revealed discharge products with a biphasic structure consisting of nanocrystalline Li<sub>2</sub>S within an amorphous Li<sub>2</sub>S<sub><i>x</i></sub> matrix. Data analysis of complementary operando SANS measurements was accelerated by a convolutional neural network trained to predict scattering curves based on plurigaussian random fields, enabling comprehensive parameter space exploration for model fitting. Our findings are in line with disproportionation-driven deposition of Li<sub>2</sub>S<sub>2</sub> particles that agglomerate and partially reduce to Li<sub>2</sub>S via solid-state conversion. This challenges the conventional view of direct, stepwise electroreduction of polysulfides at the electrode-electrolyte interface. Overall, our multitechnique approach demonstrates the value of combining localized high-resolution imaging with time-resolved operando scattering measurements to understand complex electrochemical conversion pathways in next-generation energy storage systems.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-04-24
DOI
https://doi.org/10.1021/acsnano.5c00536
Citations
11
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
8.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unraveling Multiphase Conversion Pathways in Lithium–Sulfur Batteries through Cryo Transmission Electron Microscopy and Machine Learning-Assisted Operando Neutron Scattering

Jean‐Marc von Mentlen, Jürgen Belz, Christian Prehal, Lionel Porcar et al.
11 citations
ACS Nano
Advancements in Battery Materials
8.03
article

Unraveling Multiphase Conversion Pathways in Lithium–Sulfur Batteries through Cryo Transmission Electron Microscopy and Machine Learning-Assisted Operando Neutron Scattering

Jean‐Marc von Mentlen, Jürgen Belz, Christian Prehal, Lionel Porcar, Kerstin Volz, Thomas Demuth, Aşkıner Güngör, Vanessa Wood, Alen Vižintin, Milivoj Plodinec, Pronoy Dutta
article en
11 citations

Abstract

Understanding the complex physicochemical processes in conversion-type batteries requires investigations across multiple length scales. Here, we present a methodological approach to examine Li-S batteries on the nanoscale by combining cryogenic transmission electron microscopy (cryoTEM) with operando small-angle neutron scattering (SANS). CryoTEM revealed discharge products with a biphasic structure consisting of nanocrystalline Li<sub>2</sub>S within an amorphous Li<sub>2</sub>S<sub><i>x</i></sub> matrix. Data analysis of complementary operando SANS measurements was accelerated by a convolutional neural network trained to predict scattering curves based on plurigaussian random fields, enabling comprehensive parameter space exploration for model fitting. Our findings are in line with disproportionation-driven deposition of Li<sub>2</sub>S<sub>2</sub> particles that agglomerate and partially reduce to Li<sub>2</sub>S via solid-state conversion. This challenges the conventional view of direct, stepwise electroreduction of polysulfides at the electrode-electrolyte interface. Overall, our multitechnique approach demonstrates the value of combining localized high-resolution imaging with time-resolved operando scattering measurements to understand complex electrochemical conversion pathways in next-generation energy storage systems.

ACS NanoVol. 19(17)
Philipps University of Marburg (DE), University of Salzburg (AT), ETH Zurich (CH), Institut Laue-Langevin (FR), National Institute of Chemistry (SI)
Javna Agencija za Raziskovalno Dejavnost RS, Bundesamt für Energie, H2020 European Research Council, H2020 LEIT Advanced Materials
Affordable and clean energy
Openalex Percentile: Top 2%
Advancements in Battery Materials
8.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.