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Electronics Industry

The semiconductor industry is rapidly transitioning toward 10nm manufacturing. Novel developments are expected, and needed, to extend Moore’s law to this scale, which states that the number of transistors on a chip roughly doubles every two years. To compete in the electronics industry, companies must continually innovate to stay ahead of the competition. Novel materials must be developed to overcome new challenges. Devices must reach peak performance while meeting reliability standards. Fabrication processes must be improved to achieve performance targets. Yet, even though companies are expected to push the limits, they must do so without increasing costs or development times. Accelrys software helps you overcome these challenges by providing the advanced predictive science needed to support your innovation, alongside workflow and process improvement tools that save you time and money.

With Accelrys’ scientific informatics platform, Pipeline Pilot, and its advanced materials modeling and simulation environment, Materials Studio, you can:

  • Reduce development time and costs with predictive modeling and simulation software that lets you explore ‘what if’ scenarios in silico before costly experimental work.  For example:
    • Enhance semiconductor and circuit performance without sacrificing stability by optimizing gate oxides and interconnects
    • Improve fabrication processes by exploring the reaction processes involved in epitaxy, etching, and ion implantation
    • Avoid product redesigns by uncovering key materials issues that may affect performance and reliability, such as degradation due to oxidation, diffusion, cross contamination and crack propagation
    • Move beyond silicon with nanotechnology software tools that can help explore the possibilities of new materials, such as nanotubes
    • Optimize sensor and display devices by studying and controlling factors such as monolayer assembly, signal-to-noise ratio, and field emissions
  • Address critical issues at the 65 nm node and below with quantum mechanical, atomistic and molecular modeling software that is based on fundamental principles (not empirical data) and therefore remains applicable regardless of device size or material composition
  • Streamline your research environment by integrating your complex materials analysis scripts in computational workflows that you can automate, reuse and share
  • Promote best practices via web-based tools that capture and disseminate your in-house expertise

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