Semiconductor materials
Semiconductor materials
We will provide an easy-to-understand introduction to Schrödinger's integrated platform that supports the development/analysis of semiconductors and related technologies.
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Introducing Schrödinger's materials development support products in an easy-to-understand manner.
Support for property prediction, analysis, and design based on molecular structure and nanoscale structure through large-scale statistical analysis of experimental data and high-precision nanoscale simulations.
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Integrated platform to support the development/analysis of semiconductor-related technologies.
An integrated platform that supports the development/analysis of semiconductors and related technologies with high speed and high precision.
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Product Guide Presentation: What High-Speed Molecular Simulation is and How it Accelerates Material Development
Supporting material research and development through high-speed molecular simulations! Here is an overview of our products.
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[Presentation of Japanese Materials] Enhancing the Precision and Speed of Material Development with High-Performance Computational Tools
[Japanese Flyer] Overview of Schrödinger's Materials Science Platform
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[Presentation of Materials] A materials research DX tool chosen by leading companies in various industries.
Leading companies in various industries, such as Panasonic, Bridgestone, Canon, Samsung, and L'Oréal, have adopted it.
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[Presentation of Materials] Information on Modeling Services
We provide advanced technology and expertise to accelerate drug discovery programs.
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Presentation of Japanese Language Materials: Information on Hit Exploration Services
Quickly achieve diverse hits with industry-leading calculation tools.
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Presentation of Japanese Language Materials: Target Enablement Service
Optimize the structure of the target protein for structure-based drug discovery using a series of ligand information.
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Contract research services adopted by leading companies in the world [Materials available]
Fully utilizing advanced technology and expertise! Contract services to accelerate materials research and development.
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Machine Learning Force Fields for Organic and Inorganic Systems [Materials Provided]
A message-passing machine learning force field with DFT-level accuracy accelerates organic, inorganic, and hybrid material simulations with high precision.
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Accelerating material development at the nano level! We will exhibit at nano tech.
Achieving material development DX from the nanoscale through high-speed molecular simulation and machine learning.
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