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UID:23709-1781172000-1781175600@simulationpulse.com
SUMMARY:NAFEMS webinar: ASSESS Simulation Leadership Summit Up-date
DESCRIPTION:ASSESS Simulation Leadership 2026 Summit Highlights and Up-date provides an overview of the main themes and discussions from the ASSESS Simulation Leadership Summit. The session examines current developments in engineering simulation\, covering areas such as AI and machine learning\, digital twins\, simulation credibility\, tool integration\, and wider accessibility of simulation\, while considering their implications for engineering practice and business strategy. \nFor registration click here..
URL:https://simulationpulse.com/event/nafems-webinar-assess-simulation-leadership-summit-up-date/
ATTACH;FMTTYPE=image/jpeg:https://simulationpulse.com/wp-content/uploads/2026/04/137.jpg
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LAST-MODIFIED:20260610T111539Z
UID:23876-1781175600-1781179200@simulationpulse.com
SUMMARY:Comsol webinar: Battery Manufacturing with Modeling & AI
DESCRIPTION:This webinar explores the ARTISTIC digital platform\, developed over 13 years to address challenges associated with translating laboratory-scale battery research into industrial manufacturing. It examines the integration of multiscale physics-based simulations\, artificial intelligence\, and COMSOL Multiphysics® across battery production processes\, including slurry mixing and dry processing\, while also covering validation approaches\, process analysis\, waste reduction strategies\, and virtual and mixed reality applications for operator training. \nFor registration click here..
URL:https://simulationpulse.com/event/comsol-webinar/
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UID:23706-1781220600-1781220600@simulationpulse.com
SUMMARY:Mathworks webinar: Predict and Prevent Battery Overheating
DESCRIPTION:The webinar Predict and Prevent Battery Overheating in Stationary Storage Systems examines thermal management challenges in battery storage systems used for grid infrastructure and AI data centers\, where fluctuating demand can push batteries toward operational limits. The session explores nonlinear system identification and prediction models for forecasting cell and pack temperatures\, developing plant models\, simulating realistic operating conditions\, detecting high-risk thermal regimes\, and informing control and cooling strategy design to support safe and reliable operation. \nFor registration click here..
URL:https://simulationpulse.com/event/mathworks-webinar-predict-and-prevent-battery-overheating/
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