QuantumATK
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Large-Scale and Accurate Density Functional Theory (DFT) Simulations with QuantumATK
Join this Synopsys webinar to learn how to perform large-scale, accurate and reliable Density Functional Theory (DFT) simulations with the QuantumATK platform: Discover how to perform accurate and reliable large scale DFT simulations even at the hybrid functional level - with Linear Combination of Atomic Orbital basis set using modest computational resources. Learn how to… Large-Scale and Accurate Density Functional Theory (DFT) Simulations with QuantumATK
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Machine-Learned Force Fields for 2D Materials Modeling with QuantumATK
Join our FREE event live on Sept 15th or at a later date on-demand, to learn about how machine-learned force fields (ML FFs) can efficiently be applied to 2D Materials Modeling. The event will start with a brief overview on how ML FFs are implemented and can be easily used in the Synopsys QuantumATK atomistic… Machine-Learned Force Fields for 2D Materials Modeling with QuantumATK
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TCAD Seminar 2022
Join our online TCAD Seminar to learn about the application of Synopsys TCAD solutions to accelerate the research, development, and optimization of semiconductor technologies. The seminar sessions cover all major semiconductor technologies, from advanced logic and memory to analog, and power electronics. The solutions presented in this event are based on the industry-standard Sentaurus TCAD… TCAD Seminar 2022
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Advancing Magnetic Memory Technology with Atomistic Modeling
In this event, experts from Martin-Luther-Universitat Halle Wittenberg, University of York, and Synopsys QuantumATK will present how to use ab initio DFT modeling and atomistic spin dynamics simulations of MTJs to guide and accelerate the technological development of magnetic memory such as STT and SOT-MRAM. Investigating the potential of novel magnetic tunnel junction (MTJ) materials… Advancing Magnetic Memory Technology with Atomistic Modeling
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QuantumATK V-2023.09 Release: Highlights of New and Enhanced Features
Join our FREE online event to learn about the new and enhanced features and performance improvements in the latest QuantumATK V-2023.09 product release. - Enhanced ease-of-use of training Machine-Learned FFs with new predefined Workflow Builder blocks and templates - New interactive Interfaces Builder for building multilayer structures - New Accelerated molecular dynamics method for crystallization… QuantumATK V-2023.09 Release: Highlights of New and Enhanced Features