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Max Planck Institute for Sustainable Materials

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Accelerating battery innovation with AI-driven materials discovery

Publications of Ji Gu

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Journal Article (1)

Journal Article (1)

Journal Article

Wang, Z.; Gu, J.; An, D.; Liu, Y.; Song, M.: Characterization of the microstructure and deformation substructure evolution in a hierarchal high-entropy alloy by correlative EBSD and ECCI. Intermetallics 121, 106788 (2020)

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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. Yug Joshi

+49 211 6792 395 y.joshi@...

Dr. Chuanlai Liu

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

Further information

Computational Energy Storage Materials

Microstructure and Interfaces of Battery Materials

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Digital materials design from single crystals to engineering components

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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

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

Tuning thermoelectric materials for efficient power generation

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

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October 06, 2022

artificial intelligence and digitilization

International research team publishes universal framework

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artificial intelligence and digitilization

Video explaining the digitalization in materials science

Metal powder: zero-carbon fuel for the future?

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How iron can be used to store and transport energy

Hydrogen - the future fuel source

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New video explains how green hydrogen is produced

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Researcher team published recent findings in the journal Nature

Artificial intelligence for complex materials

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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 and Interfaces of Battery Materials

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The group aims at unraveling the inner workings of ion batteries, with a focus on probing the microstructural and interfacial character of electrodes and electrolytes that control ionic transport and insertion into the electrode.

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