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Max Planck Institute for Sustainable Materials

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Accelerating battery innovation with AI-driven materials discovery

Publications of Ingo Opahle

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Journal Article (1)

Journal Article (1)

Journal Article

Dutta, B.; Opahle, I.; Hickel, T.: Interface effects on the magnetic properties of layered Ni₂MnGa/Ni₂MnSn alloys: A first-principles investigation. Functional Materials Letters 9 (6), 1642010 (2016)

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PDF of the press release

accelerating_battery_innovation_with_ai-driven_materials_discovery_press_release_18_march_2025 248.39 kB

Contact at MPI-SusMat

Dr. Chuanlai Liu

Project Group Leader +49 211 6792 305 c.liu@...

Further information

Computational Energy Storage Materials

Microstructure and Interfaces of Battery Materials

Other Interesting Articles

Digital materials design from single crystals to engineering components

August 05, 2024

artificial intelligence and digitilization

Version 3.0 of the material simulation software suite DAMASK released

Artificial intelligence designs advanced materials

August 14, 2023

artificial intelligence and digitilization method development

Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances

Artificial Intelligence: A powerful tool for the future of materials science

April 28, 2023

artificial intelligence and digitilization

Dr. Ziyuan Rao leads the new research group “Artificial Intelligence for Materials Science” at MPIE

Tuning thermoelectric materials for efficient power generation

March 09, 2023

energy materials green energy sustainability

Researcher team led by Max-Planck-Institut für Eisenforschung published latest findings in the journal Advanced Energy Materials

Discovering new materials with the help of machine learning

October 06, 2022

artificial intelligence and digitilization

International research team publishes universal framework

Computational materials science

September 30, 2022

artificial intelligence and digitilization

Video explaining the digitalization in materials science

Metal powder: zero-carbon fuel for the future?

September 16, 2022

energy materials green energy sustainability

How iron can be used to store and transport energy

Hydrogen - the future fuel source

August 01, 2022

energy materials green energy hydrogen sustainability

New video explains how green hydrogen is produced

World record in solar cell efficiency achieved

April 14, 2022

energy materials sustainability

Researcher team published recent findings in the journal Nature

Artificial intelligence for complex materials

July 01, 2021

artificial intelligence and digitilization method development

Max Planck researchers present a new deep neural network for predicting materials’ mechanical behaviour

StahlDigital: Max-Planck-Institut für Eisenforschung coordinates project on digital strategies for steel materials

June 22, 2021

artificial intelligence and digitilization

German Federal Ministry of Education and Research supports digitization of materials research with 26 million euros

Microstructure Data Mining in Atom Probe Tomography via Machine Learning

artificial intelligence and digitilization

Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.

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