
Accelerating the Discovery of New Materials with AI
In a world-first for battery research, researchers from the University of Bayreuth and the Hong Kong University of Science and Technology have employed a so-called multi-agent network in battery design. This AI-based tool enables the rapid generation of promising proposals for new battery materials, thereby advancing the development of long-lasting and sustainable next-generation batteries. The researchers report their findings in the prestigious journal Advanced Materials.
Coming up TOMORROW 📅 April 27, 2023 🕒 3–4 pm CEST
Join the online #BeilsteinTalk "Sodium-ion #batteries 🔋: #EnergyStorage based on abundant elements" with Philipp Adelhelm, Humboldt University Berlin.
Registration is FREE ➡️ https://www.beilstein-institut.de/en/talks/nanotechnology-sodium-ion-batteries/?M=y
#BatteryDesign #EnergyConversion #Sodium-ionBattery #BeilsteinTalks
Nanotechnology - Sodium-ion batteries - Beilstein-Institut
Join the online #BeilsteinTalk "Sodium-ion #batteries 🔋: #EnergyStorage based on abundant elements" with Philipp Adelhelm, Humboldt University Berlin, on 📅 April 27, 2023 🕒 3–4 pm CEST.
Register for FREE ➡️ https://www.beilstein-institut.de/en/talks/nanotechnology-sodium-ion-batteries/?M=y
#BatteryDesign #EnergyConversion #Sodium-ionBattery #BeilsteinTalks
Nanotechnology - Sodium-ion batteries - Beilstein-Institut
Nanotechnology - Sodium-ion batteries - Beilstein-Institut