Accelerating research and development of next-generation battery materials through atomic-level simulations and machine learning.
We would like to introduce Schrödinger's integrated platform that supports the development and analysis of next-generation battery materials. 【Product Features】 ■ Analysis of ion behavior within electrodes through quantum mechanical calculations ■ Analysis of the conduction mechanism of Li+ ions in polymer electrolytes using molecular dynamics simulations ■ Development of electrolytes through molecular simulations and machine learning *For more details, please refer to the PDF document or feel free to contact us.
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basic information
Our computational chemistry platform is capable of addressing a wide range of materials research fields. ■ Prediction of physical properties 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 ■ Prediction of physical properties 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
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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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Download All Catalogs![[Japanese Brochure] Integrated Platform Supporting Battery Material Development](https://image.mono.ipros.com/public/catalog/image/01/34a/682443/IPROS10537371865136302010.jpeg?w=120&h=170)
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Company information
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.
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