Cloud native EDA tools & pre-optimized hardware platforms
QuantumATK atomic-scale modeling software enables large-scale and thus more realistic material simulations, integrating multiple simulation methods, ranging from ab initio DFT to semi-empirical and classical force fields analysis, into an easy-to-use platform. QuantumATK accelerates semiconductor and materials R&D, and reduces time and costs by enabling more efficient workflows in the screening process of new materials across a broad range of high-tech industries.
Simulate properties of new materials, interface structures, contacts and stacks for insights on how they impact semiconductor devices and processes before wafer-based data is available. Integrated with TCAD tools.
Learn MoreOptimize material options in polymers, metals, glasses, solar cells, batteries, catalysis and other industries. Simulate and analyze a wide range of both basic and advanced material properties and systems.
Learn MoreAccelerate your research by performing efficient atomistic material and electronic device simulations using uniquely combined state-of-the-art methods. Benefit from an advanced GUI and Python scripting.
Learn MoreRich tools for DFT simulations (LCAO and plane-wave basis sets), semi-empirical & classical force fields. Use a Non-equilibrium Green’s function (NEGF) module for device and surface simulations.
Learn MoreNEW Jan 11, 2023: Synopsys Webinar on Highlights of QuantumATK U-2022.12 Release
Sep 15, 2022: Machine-Learned Force Fields for 2D Materials Modeling with QuantumATK
Jun 16, 2022: Synopsys Webinar on Large-Scale & Accurate DFT Simulations with QuantumATK
Mar 24, 2022: Synopsys Webinar On-Demand on Highlights of QuantumATK T-2022.03 Release
Now Available: TCAD Virtual Seminars (including atomistic materials modeling with QuantumATK)
NEW QuantumATK U-2022.12 Release
NEW Webpage on Machine-Learned Force Fields
Webpage on Simulations for Battery Materials Design
Oct 07, 2021: Semiconductor Engineering Article. Making Batteries Denser and Safer
Aug 26, 2021: Semiconductor Engineering Article: Modeling Chips from Atoms to Systems
IBM Research and Synopsys Study on Properties of Alternative Metals for Advanced Logic Interconnects