News Picture Generic

Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management

November 11, 2025
Featured Article

Chemistry Europe

The discovery of novel battery materials has been accelerated by advanced modeling and machine learning. However, their integration into battery cells remains constrained by the necessity for experimental validation. The status of development and validation of the automated robotic battery materials research platform Aurora is presented, enabling rapid testing of scientific hypotheses and validation of physical models. Aurora integrates electrolyte formulation, battery cell assembly, and battery cell cycling into a stepwise automated application-relevant workflow. The different features of the Aurora platform can be leveraged to design experiments elucidating the impact of cycling parameters, electrode composition, and balancing, and electrolyte formulation on battery performance and long-term cycling stability with the example of NMC||graphite and LFP||graphite cells with carbonate- based electrolytes, which serve as benchmark battery cell chemistries. A large, structured, dataset with ontologized metadata detailing cell assembly and cycling protocols, alongside corresponding time series cycling data for all cells is provided as open research data. This study establishes Aurora as a powerful research platform for accelerating battery materials research.

For details: 

Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management

Enea Svaluto-Ferro 1, Graham Kimbell 1, YeonJu Kim 1, Nukorn Plainpan 1, Benjamin Kunz 1, Lina Scholz 1,2, Raphael Läubli 1,2, Maximilian Becker 1, David Reber 1, Peter Kraus 1, Ruben-Simon Kühnel 1, Corsin Battaglia 1,2,3,4

1) Empa - Swiss Federal Laboratories for Materials Science and Technology, Ueberlandstrasse 129, Dübendorf, 8600 Switzerland
2) Department of Information Technology and Electrical Engineering, ETH Zurich, Gloriastrasse 35, Zurich, 8092 Switzerland
3) School of Engineering, Institute of Materials, EPFL, Station 15, Lausanne, 1015 Switzerland
4) Tandon School of Engineering, Chemical and Biomolecular Engineering, NYU, 6 MetroTech Center, Brooklyn, NY, 11201 USA

Chemistry Europe
https://doi.org/10.1002/batt.202500155

For more information about Chemspeed solutions:

Contact us to learn more about this exciting article:https://www.chemspeed.com/contact/

Other Recent News

Discover more news articles you might be interested in

Read more about Artificial intelligence-driven autonomous laboratory for accelerating chemical discovery
News Picture 1 1 V2
Feb
24

Artificial intelligence-driven autonomous laboratory for accelerating chemical discovery

Autonomous laboratories, also known as self-driving labs, have emerged as a powerful strategy to accelerate chemical discovery. By highly integrating different key parts including artificial intelligence (AI), robotic experimentation systems and automation technologies into a continuous closed-loop cycle, autonomous laboratories can efficiently conduct scientific experiments with minimal human intervention.

Read more about Stable acidic oxygen-evolving catalyst discovery through mixed accelerations
News Picture 1 1 V2
Featured
Feb
17

Stable acidic oxygen-evolving catalyst discovery through mixed accelerations

Ruthenium oxides (RuOx) are promising alternatives to iridium catalysts for the oxygen-evolution reaction in proton-exchange membrane water electrolysis but lack stability in acid. Alloying with other elements can improve stability and performance but enlarges the search space.

© Chemspeed Technologies 2026