PRiME 2024, Honolulu, 6-11 October
Bring your battery materials challenges to booth 522 at the PRiME expo. Nicolas is looking forward to discussing your R&D challenges and discuss how the Amsterdam Modeling Suite can help you develop new battery materials faster and with less resources.
On 9 October, Nicolas will present at 12.20 at symposium A3, Accelerating Next-Generation Battery R&D Through Data-Driven Approaches. Come check out his presentation on how to Leverage Battery Research with Atomistic Modeling and Machine Learning. He will present how to optimize electrolyte solubility with advanced DFT + solvation workflows and how to study chemical reactivity during battery operation. He will also discuss how M3GNet universal machine learning potentials enable you to efficiently screen electrode materials for storage capacity, swelling and ion diffusion, and how fine-tuning with active learning MD can improve prediction accuracy.
Exhibit Dates and Hours (booth 522)
Monday, October 7 6:00pm-8:00 pm
Tuesday, October 8: 2:00pm-8:00 pm
Wednesday, October 9: 2:00pm-8:00 pm
