📢 We are thrilled to announce the new @Synopsys@QuantumATK V-2023.12 release for #atomisticsimulation. Many-body physics with GW, Machine-Learned (ML) MTP potential training with GPUs, Universal ML potential M3GNET. Learn more: bit.ly/3uLMjNo
This was a great down-to-earth grass-roots effort! So much appreciated, hearty thanks to the organizers and the participants! #QML#AtomisticSimulation#MLFF
The ☕️TEA Workshop 2023 "crash TEsting machine learning force fields: Applicability, best practices, limitations" took place at @uni_lu last week. 1/3👇🏼
Watch this demo video to learn about the new Interfaces Builder in @QuantumATK for easily building multilayer material stacks and how it is used to construct a complex magnetic tunnel junction for STT-MRAM applications bit.ly/46sMB9H#atomisticsimulation#materialscience
We are excited to announce the new @QuantumATK V-2023.09 release. Join our free @Synopsys Webinar on Sep 21 to learn about the new features and improvements for many atomic-scale modeling methods and applications in semiconductor industry and beyond: bit.ly/4698CcW