Helge Stein
Professor
Develops self-driving laboratories with robots and machine learning for accelerated discovery of catalysts and battery materials.
Helge Stein's lab at TUM works on proteins, drugs & materials and autonomous vehicles & drones. 30 papers since 2023. 8 PhD students and 5 master's students. 5 alumni.
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 0%
- PhD students
- 8
- MS students
- 5
- alumni listed
- 5
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 7 papers2025 · T1 0
- 13 papers2024 · T1 0
- 9 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- battery10 papers
- Proteins, drugs & materials6 papers
- Autonomous vehicles & drones2 papers
- laboratories0 papers
- self-driving laboratories0 papers
Paper list
From the lab homepage.
20261 paper
- Advanced ScienceContinuous Physics-Informed Learning Expedited Battery Mechanism Decoupling
20257 papers
- Energy & FuelsExplainable Artificial Intelligence of Things for Health Prognosis of Lithium-Ion Batteries
- —Finales-Developing a General Modular Data Infrastructure for Materials Acceleration Platforms to Facilitate Data-Driven Battery Research and Design
- Applied EnergyFlexible health prognosis of battery nonlinear aging using temporal transfer learning
- Advanced Intelligent DiscoveryInformation dense and industry scalable accelerated formation
- Batteries & SupercapsInsight generation from information-dense formation protocols
- Advanced Energy MaterialsIntegrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─ Ge─ Sn Thin‐Film Lithium Battery Anodes
- ChemSusChemModification of al surface via acidic treatment and its impact on plating and stripping
202413 papers
- —Advancing energy materials through high throughput experiments and computation
- Digital DiscoveryApples to apples: shift from mass ratio to additive molecules per electrode area to optimize Li-ion batteries
- Computational MaterialsAttention towards chemistry agnostic and explainable battery lifetime prediction
- Advanced Energy MaterialsAutonomous Battery Optimization by Deploying Distributed Experiments and Simulations
- Digital DiscoveryAutonomous millimeter scale high throughput battery research system
- —DataBatt-Integration horizontaler Datenstrukturen in der Batterieproduktion
- ACS Chemistry of MaterialsExploring Reproducible Nonaqueous Scanning Droplet Cell Electrochemistry in Model Battery Chemistries
- Physical Chemistry Chemical PhysicsFast formation of anode-free Li–metal batteries by pulsed current
- ChemSusChemGreener, Safer and Better Performing Aqueous Binder for Positive Electrode Manufacturing of Sodium Ion Batteries
- NovemberMaterials acceleration platforms (MAPs): accelerating materials research and development to meet urgent societal challenges
- MarchMicroscopic and Spectroscopic Analysis of the Solid Electrolyte Interphase at Hard Carbon Composite Anodes in 1 M NaPF6/Diglyme
- ACS Engineering AuNonlinear potentiodynamic battery charging protocols for fun, education, and application
20239 papers
- Electrochimica ActaCharacterization of the solid/electrolyte interphase at hard carbon anodes via scanning (electrochemical) probe microscopy
- Scientific DataConductivity experiments for electrolyte formulations and their automated analysis
- OctoberData‐Driven Virtual Material Analysis and Synthesis for Solid Electrolyte Interphases
- ACS applied materials & interfacesFluorine-substituted halide solid electrolytes with enhanced stability toward the lithium metal
- Journal of The Electrochemical SocietyHindered Aluminum Plating and Stripping in Urea/NMA/Al (OTF) 3 as a Cl-Free Electrolyte for Aluminum Batteries
- Journal of Materials Chemistry AIonic conductivity, viscosity, and self-diffusion coefficients of novel imidazole salts for lithium-ion battery electrolytes
- Digital DiscoveryOrchestrating nimble experiments across interconnected labs
- Journal of Energy StorageSiOx coated graphite with inorganic aqueous binders as high-performance anode for lithium-ion batteries
- doi:10.5281/zenodo.8012140The Significance of Accelerated Discovery of Advanced Materials to address Societal Challenges
Where alumni went5 listed
Apply to TUMRolling
Not announced yet
Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
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