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.
We will clearly introduce Schrödinger's integrated platform that supports the development/analysis of semiconductors and related technologies. 【Product Overview】 ■ Prediction and analysis of semiconductor physical properties using quantum mechanical calculations - Electronic properties - Mechanical properties (elastic constant tensor, bulk modulus) - Dielectric properties - Reaction pathway exploration ■ Optimization of semiconductor film deposition processes (CVD, ALD, ALE) - Development of new precursors using quantum mechanical calculations and machine learning ■ Optimization of semiconductor packaging using classical molecular dynamics calculations - Construction of cross-linked structure models for resin encapsulants - Prediction of heat resistance through calculations of glass transition temperature - Prediction of gas barrier properties through calculations of absorption rates and diffusion coefficients of water and gas molecules - Analysis of physical property changes during the absorption of water/gas molecules *For more details, please refer to the PDF document or feel free to contact us.
basic information
Our computational chemistry platform is capable of addressing a wide range of materials research fields. ■ Property prediction through Density Functional Theory (DFT) calculations and first-principles calculations in periodic systems HOMO/LUMO/pKa/solvent effects/IR/Raman/UV-vis/VCD/NMR/oxidation/reduction potential/triplet excited state energy/TADF S1-Tx gap/fluorescence/phosphorescence/vibrational calculations/structure optimization/transition state calculations/reaction pathway analysis/adsorption energy/bond dissociation energy/electron and hole mobility/reorientation (rearrangement, reconfiguration) energy ■ Property prediction using Molecular Mechanics (MM), Molecular Dynamics (MD), and Coarse-Grained MD Density/conformation analysis/cross-linked structures/Young's modulus/viscosity/surface tension/glass transition temperature (Tg)/molecular diffusion/thermal expansion/crystal morphology/swelling/stress-strain curves/solubility parameters Methods available for use in machine learning Generation of various descriptors and fingerprints/Partial Least Squares (PLS) regression/multiple linear regression (MLR)/Principal Component Regression (PCR)/Kernel PLS/Bayesian classification/Recursive Partitioning (RP) analysis/Self-Organizing Maps/Tg, dielectric constant, boiling point, vapor pressure prediction models/genetic algorithms/active learning
Price information
For more details, please feel free to contact us.
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Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.
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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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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.