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Why QuantumATK?
Our industry-leading atomistic simulation platform empowers the design of novel materials with best properties for new or current products and systems.
- Reduce R&D time and cost by replacing or guiding experiments and facilitating path finding for solving current industrial problems and developing next-generation products.
- Accelerate development of new materials and obtain deep understanding of mechanisms and structure-property relationships using QuantumATK materials modeling software.
- Compute both basic and more advanced material properties, including electronic, structural, optical, thermal, magnetic and mechanical properties, as well as electronic and thermal transport, electron-phonon coupling, piezoelectricity and more characteristics.
- Integrate seamlessly with the Synopsys Design-Technology Co-Optimization (DTCO) solution
QuantumATK Products and Calculators
Key Benefits
Semiconductor Modeling
Logic & Memory Interconnects
Explore alternative interconnect metals and barrier materials to reduce line and via resistance in interconnect stacks. Evaluate interconnect resistance and capacitance in complex process structures through a link to TCAD Raphael FX.
Metal-Semiconductor Contacts
Guide transistor optimization by providing key insights into how to optimize metal-semiconductor contact resistance and Schottky barriers by tuning atomic structure of an interface and doping.
High-K Metal Gates (HKMG) Stacks
Achieve target performance of HKMG stacks by varying material composition, thicknesses and dopants. Obtain optimal work function, minimal leakage current and maximum capacitance through a link to TCAD S-Device.
Transistor Channel Engineering
Achieve target transistor performance by investigating new channel structures and materials with improved carrier mobility and currents. Equip TCAD advanced transport models with new relevant parameters.
2D-Material FET Performance
Down-select among many candidate 2D materials and their heterostructures by simulating the electrical characteristics of 2D-material based model field effect transistors (FETs).
Novel Memory Design
Guide R&D of novel memories, such as STT-MRAM, ReRAM, PCRAM, and FeFET by investigating and optimizing properties of material stacks comprising these memory devices, impact of electric field, strain, dopants and defects
Surface Process Modeling
Optimize etching and sputtering processes by varying chemical composition of a surface and energy and type of incoming particles. Describe thermally-assisted or plasma-based processes through a link to TCAD S-Process.
Materials Modeling
Battery Material Simulations
Design novel battery materials for cathodes and anodes, liquid and solid electrolytes, additives, solid electrolyte interphases (SEI) for denser and safer batteries for automotive and other industrial applications.
Polymer Research & Design
Design polymers with improved thermo-mechanical, thermal conductivity and optical properties within R&D of areas such as photoresist, transparent polymers, rubber-like polymers for tire industry and thermoset polymers for insulation industry.
Solar Cell Materials
Model noval photovoltaic materials and devices with improved photocurrent and open circuit voltage (OCV).
Catalyst Simulations
Predict and screen new materials for improved catalytic activity of transitional metal and transition metal oxide surfaces
Metals, Ceramics, & Glasses
Design glasses with optimized optical and mechanical properties, thermal transport at crystal/glass interfaces, simulate crystallization and nucleation.
Resources
Simulation Tools: NanoLab GUI, Optical & Polymer Properties
Access datasheets for simulation tools and material properties.
QuantumATK Atomistic Simulation Features
Explore key simulation and analysis capabilities.
Synopsys Accelerates Chip Design with NVIDIA Grace Blackwell and AI to Speed Electronic Design Automation
Leveraging Machine Learning Force Fields (MLFFs) to Simulate Large Atomistic Systems for Fidelity Improvement of Superconducting Qubits and Sensors
