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Research Group Helge Stein


Link to website at TUM

Helge Stein

Prof. Dr.

Associate

Helge Stein

is head of the Chair Digital Catalysis at TU Munich.

His chair develops experimental and computer-aided methods for the accelerated discovery, characterization, and upscaling of new and improved materials in catalysis and for secondary batteries. Experimental data is collected using self-developed robots, planned and evaluated using algorithms and machine learning, and stored in a semantically searchable manner through data management. The goal is to establish a global decentralized material acceleration platform (MAP) ranging from discovery to production.

Team members @MCML

PhD Students

Link to website

Shanling Ji

Recent News @MCML

Link to MCML Researchers With 119 Papers in Highly-Ranked Journals

01.01.2025

MCML Researchers With 119 Papers in Highly-Ranked Journals

Publications @MCML

2025


[5] Top Journal
S. Ji • B. Zhang • H. S. Stein • Z. Zhang • J. Zhu
Explainable Artificial Intelligence of Things for Health Prognosis of Lithium-Ion Batteries.
Energy and Fuels 39.36. Aug. 2025. DOI

[4]
S. Ji • J. Yuan • B. Zhang • A. Sanin • L. Merker • Z. Zhang • J. • H. S. Stein
Continuous physics-informed learning expedites universal battery mechanism decoupling.
Preprint (Jul. 2025). DOI

[3]
L. Merker • M. Blessing • B. Zhang • H. S. Stein
Information Dense and Industry Scalable Accelerated Formation.
Advanced Intelligent Discovery. Jun. 2025. DOI

[2]
L. Merker • B. Zhang • J. Yuan • S. JiH. S. Stein
Insight generation from information-dense formation protocols.
Batteries & Supercaps.e202500153. Jun. 2025. DOI

[1] Top Journal
A. Sanin • J. K. Flowers • T. H. Piotrowiak • F. Felsen • L. Merker • A. Ludwig • D. Bresser • H. S. Stein
Integrating Automated Electrochemistry and High-Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin-Film Lithium Battery Anodes.
Advanced Energy Materials 15.11. Jan. 2025. DOI