AI Platform for Materials Informatics [Simplified Version]
Instant answers to your materials informatics concerns! The evolved AI platform LiveDesign accelerates new material development.
Do you have any of the following concerns in materials informatics? Schrödinger's LiveDesign solves these issues and accelerates MI, from data recording, completion, automation of machine learning, to sharing analytical methods and results. 【Concern 1】 Data quality issues: Formats and terminology are inconsistent ➡ We register data in a unified language in the same spreadsheet. 【Concern 2】 Data quantity issues: The data is full of missing values ➡ We complete the data using physical chemistry calculations and machine learning. 【Concern 3】 Undemocratic AI, machine learning, and analytical methods: Not knowing where to start ➡ We automatically generate suitable machine learning models while accumulating data, creating high-precision models without relying on computational chemists. 【Concern 4】 Internal sharing issues: A good predictive model has been created, but there is no mechanism to deploy it internally ➡ Analytical methods and results can be shared within a group via a web interface. *For more details, please feel free to contact us.
basic information
*For more details, please feel free to contact us.* ■Supports various entities Low molecular weight Peptides, oligos, RNA formulations Inorganic complexes, catalysts, organic EL Additives, metal complexes ■It is also possible to integrate the computational methods of Schrödinger's Materials Science Suite. Organic electronics Polymeric materials Consumer goods Catalysts and reaction systems Semiconductors Energy recovery and storage Complex formulations Metals, alloys, ceramics
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September 16 (Monday) to 20 (Friday): Presentation and exhibition at the 85th Autumn Meeting of the Japan Society of Applied Physics.
Schrödinger, Inc. will be presenting and exhibiting at the 85th Autumn Meeting of the Japan Society of Applied Physics from September 16 (Monday) to September 20 (Friday). 【Presentation】 Date and Time: September 18 (Wednesday) 13:30 - 13:45 Title: "Exploration of New Titanium Nitride Structures Using Local Formal Charge" Presenter: Yuta Aoki, Schrödinger, Inc. Location: Niigata City, Toki Messe 2F A24 Keywords: oxynitride, semiconductor, photocatalyst We proposed a new titanium nitride with an optimal band structure for visible light-responsive photocatalysts for water splitting. To screen stable structures from a large number of candidate structures, we proposed a method to calculate the local formal charge of Ti atoms from local structures, which was used to narrow down the subjects for first-principles calculations. The resulting structure was found to have its valence band edge raised by over 1 eV compared to TiO2, indicating a band structure suitable for visible light water splitting. 【Booth】K-13
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June 4 (Tuesday) to June 7 (Friday) - Free Web Seminar: Introduction of case studies on simulation software for materials science and the use of materials informatics.
Schrödinger, Inc. will hold a materials science web seminar titled 'Schrodinger Materials Science Seminar Japan 2024' from June 4 (Tuesday) to June 7 (Friday). In recent years, computational chemistry has established itself as an essential foundational technology in the development of various materials, ranging from semiconductors and electronic components to everyday products. Since its founding in 1990, Schrödinger has continuously worked on enhancing software and informatics for molecular design, providing practical solutions for the efficiency of various material developments. We will be hosting a seminar to introduce case studies utilizing these software tools. The content will be satisfying for both those with experience in simulations and machine learning, as well as those who are just starting out. We welcome participation in any sessions of interest, so please feel free to join us.
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September 7 (Thursday) to 15 (Friday) - "Free Web Seminar" introducing case studies on the use of simulation software for materials science and materials informatics.
Schrödinger, Inc. will hold a materials science web seminar titled 'Schrödinger Materials Science Seminar Japan 2023' from September 7 (Thursday) to September 15 (Friday). In recent years, computational chemistry has established itself as an essential foundational technology in various materials development, ranging from semiconductors and electronic components to everyday products. Since its founding in 1990, Schrödinger has continuously worked on enhancing software and informatics for molecular design, providing practical solutions for the efficiency of various materials development. We will be hosting a seminar to introduce case studies of these software applications. The content will be satisfying not only for those with experience in simulations and machine learning but also for those who are just starting out. You are very welcome to attend only the sessions that interest you, so please feel free to join us.
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July 26 (Tuesday) to 29 (Friday) - Free Web Seminar: Introduction to Case Studies on Simulation Software for Materials Science and the Use of Materials Informatics.
Schrödinger, Inc. will hold a materials science web seminar titled "Schrodinger Materials Science Seminar Japan Summer 2022" from July 26 (Tuesday) to July 29 (Friday). Our company develops, sells, and provides services for software aimed at materials science, including: - The "Materials Science Suite," a simulation software platform that enables advanced analysis and property predictions at the atomic scale, - The "LiveDesign" platform for materials informatics. In the seminar, we will clearly introduce what can specifically be done using these software tools. The content will be of interest not only to those with experience in simulation and machine learning but also to those who are just starting out. We encourage you to participate freely.
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Schrödinger Co., Ltd. is the Japanese subsidiary of Schrödinger Inc., headquartered in New York, USA. Schrödinger has a history of about 30 years in developing software that integrates advanced technologies in chemistry and computer science, primarily in the fields of materials science and life sciences, providing advanced solutions for drug discovery, biologics, and materials research and development.