Battery and energy storage materials
Battery and energy storage materials
We would like to introduce Schrödinger's integrated platform that supports the development and analysis of next-generation battery materials.
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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 supporting battery material development
Accelerating research and development of next-generation battery materials through atomic-level simulations and machine learning.
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[User Case Presentation] Development of Next-Generation Lithium-Ion Batteries
We will introduce a case of innovative material search implemented in the development of next-generation lithium-ion batteries by the CEO of Eonix.
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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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