{"id":51386,"date":"2026-07-06T08:15:16","date_gmt":"2026-07-06T06:15:16","guid":{"rendered":"https:\/\/www.uni.lu\/fstm-en\/?post_type=news&p=51386"},"modified":"2026-07-08T08:16:33","modified_gmt":"2026-07-08T06:16:33","slug":"finding-new-materials-for-future-batteries-100-times-faster","status":"publish","type":"news","link":"https:\/\/www.uni.lu\/fstm-en\/news\/finding-new-materials-for-future-batteries-100-times-faster\/","title":{"rendered":"Finding new materials for future batteries 100 times faster"},"content":{"rendered":"\n
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The batteries powering electric vehicles and storing energy from solar panels are central to solving one of the biggest challenges of our time: moving away from fossil fuels. Yet designing better battery materials remains complex and slow. Researchers spend years testing new materials, only to discover critical flaws late in the process, often after significant investment has already been made. <\/p>\n\n\n

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\nAn approach combining AI and physis-based simulations <\/h2>\n\n\n\n

A new approach by Prof. Alexandre Tkatchenko<\/a> combines artificial intelligence with physics-based simulations to dramatically speed up how new battery materials are discovered and evaluated. The planned \u201cBATMAT\u201d platform just received an ERC Proof of Concept Grant andwill screen large numbers of battery materials used in rechargeable systems, including solid electrolytes and electrode components. The platform identifies the most promising candidates based on stability, ion mobility, and resistance to degradation. <\/p>\n\n\n

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\n \u201f<\/span>\n Europe desperately needs focused efforts on bringing its frontier science towards valorisation. The BATMAT ERC project will develop a platform for the design of novel solid electrolytes that are used in consumer batteries. I thank the ERC and look forward to new technologies coming out of our efforts.\u201d\n<\/blockquote>\n
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Prof. Alexandre Tkatchenko<\/p>\n\n\n

Professor in Theoretical Condensed Matter Physics <\/p>\n\n

\n \n \n View profile<\/span>\n <\/span>\n <\/use><\/svg> <\/a>\n<\/div>\n<\/div>\n <\/figure>\n <\/div>\n<\/section>\n\n
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\nSpeed without sacrificing accuracy<\/h2>\n\n\n\n

What makes BATMAT distinctive is not just that it uses AI, it’s how<\/em>. The platform is built as a closed loop: AI models rapidly propose and evaluate promising materials, while the most interesting candidates are automatically passed to more detailed physics-based simulations for verification.  <\/p>\n\n\n\n

The system is expected to make decisions roughly 100 times faster than conventional approaches, without sacrificing scientific accuracy. \u201cFor battery research, where a single simulation can take weeks to years, this is a meaningful shift to decarbonate our society<\/em>\u201d, explains Prof. Tkatchenko. <\/p>\n\n\n\n

To achieve this, the project leverages the advanced computing power of the frontier High Performance Computing (HPC) facility<\/a> of the 糖心Vlog for cutting-edge simulations, as well as national MeluXina supercomputer<\/a>. <\/p>\n\n\n\n

By enabling earlier identification of failure risks, BATMAT aims to reduce costly trial-and-error and accelerate the development of safer, longer-lasting energy storage systems. For Alexandre, the next step is to develop a commercial platform within 18 months, with the goal of putting this tool directly in the hands of both researchers and industrial R&D teams. <\/p>\n\n\n

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\nLearn more<\/h2>\n\n
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  • \n \n \n \n Theoretical Chemical Physics group <\/span>\n <\/use><\/svg> <\/span>\n <\/a>\n<\/li>\n\n\n\n
  • \n \n \n \n Department of Physics and Materials Science <\/span>\n <\/use><\/svg> <\/span>\n <\/a>\n<\/li>\n<\/ul>\n <\/div>\n<\/section>","protected":false},"excerpt":{"rendered":"","protected":false},"author":325,"featured_media":51387,"template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":true,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false},"news-category":[12,8],"news-topic":[25],"organisation":[80,29],"authorship":[325],"acf":[],"yoast_head":"\nFinding new materials for future batteries 100 times faster - FSTM news I 糖心Vlog<\/title>\n\n\n\n\n\n\n\n\n\n\n\n\n\t\n\t\n\t\n\n\n\t\n