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soft(material) - List of Manufacturers, Suppliers, Companies and Products

Last Updated: Aggregation Period:Oct 15, 2025~Nov 11, 2025
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soft Product List

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Would you like to improve business efficiency with "CAE×AI"?

We can assist you in improving business efficiency using machine learning and AI! We will introduce our software and analysis examples.

It is said that we have entered an era where the use of machine learning and AI is desired in research and development. Our company assists in improving operational efficiency by utilizing machine learning and AI. Experienced engineers will propose various plans tailored to our customers' needs, such as "packaged software sales" and "contract analysis." Please feel free to contact us when you need assistance. 【Software We Handle】 ■ Predictive modeling tool "Neural Designer" ■ Plasma analysis "Particle PLUS/DL" ■ Data science tool "Pipeline Pilot" ■ Material development analysis software "Materials Studio" ■ Electronic lab notebook "BIOVIA Notebook" *For more details, please refer to the PDF materials or feel free to contact us.

  • Other analyses
  • Analysis Services
  • Software (middle, driver, security, etc.)

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Rolling Bearing Design Calculation Software 2022 Version.

Added a new option for "Frequency Response Analysis"!

This product is the rolling bearing design calculation software for machine designers, version 2022. New bearing types such as toroidal roller bearings and double-row axial cylindrical roller bearings have been added. Similar to self-aligning roller bearings, curvature ratios fi/fe/fr are used instead of directly inputting the radius, and the curvature ratios are based on the outer ring diameter de. A new option for calculating frequency response has been added via [Calculation] -> [Frequency Response]. Loads are specified as dynamic forces, and displacements, velocities, or forces at the selected position can be displayed, showing both amplitude and phase. 【Features】 <Extensions in the Bearing Calculation> ■ Added double-row axial cylindrical roller bearings as a new bearing type ■ Multi-layer fits can also be defined at the request of several customers ■ Gaps between bearing rings and shafts/housings can be considered ■ Another shaft can be selected for axial contact *For more details, please refer to the PDF materials or feel free to contact us.

  • Software (middle, driver, security, etc.)

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[Data] Quantum ESPRESSO Interface

By performing it on a single graphical interface, calculations can be done efficiently!

This document introduces the Quantum ESPRESSO Interface handled by Schrodinger's "Materials Science Suite." Through an official partnership, integration between the molecular simulation environment "Maestro" and "Quantum ESPRESSO" has been realized. By performing advanced quantum simulations from crystal structure creation to execution and analysis on a single graphical interface, efficient computational work is possible. Furthermore, calculations using the Effective Screening Medium method allow for the electronic state calculations of various surface-solvent systems, including electrode surface reactions. [Contents] ■ Nanotechnology and Computational Science ■ About Quantum ESPRESSO ■ Main Features of the Quantum ESPRESSO Interface ■ Maestro and Python API ■ Effective Screening Medium Method (ESM Method) *For more details, please refer to the PDF document or feel free to contact us.

  • Software (middle, driver, security, etc.)
  • simulator

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Multivariate Statistical Analysis Software [Vector]

Vector is a multivariate statistical analysis software that supports various types of data! It enhances usability and enables data visualization.

"VEKTOR DIREKTOR" is a product that offers ease of use in multivariate statistical analysis software compatible with various types of data and enables data visualization. From data import to prediction and classification, this product allows for effective data analysis through an intuitive workflow. It can execute the analyzed calibration models in real-time, enabling real-time monitoring and the construction of feedback/forward control systems. With comprehensive preprocessing aimed at spectral analysis, it can be comfortably used not only for big data analysis using process parameters but also for chemometrics. By providing only the methods frequently used by customers, it allows for maximizing the use of data with the appropriate tools. 【Features】 ■ Easy data import ■ Effective visualization ■ Comprehensive data preprocessing functions ■ Diverse analysis tools *For more details, please refer to the PDF materials or feel free to contact us.

  • Other analysis software

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[Japanese Example] Calculation and Analysis Tool for Environmentally Friendly Cosmetic Formulation Design

[L'Oréal Case] Molecular Dynamics and Coarse-Grained Simulations to Facilitate the Formulation Design of Eco-Friendly Cosmetics

L'Oréal, the world's number one cosmetics company, has gained a deeper understanding of the differences in shear behavior between synthetic polymers and polysaccharide polymers on biomimetic surfaces by utilizing Schrödinger's software. • New insights into the aggregation behavior of shampoo formulations were obtained using simulated hair surfaces. • The influence of polymer topology was demonstrated, linking observed polymer interactions to experimentally observable phenomena. • A framework was established for studying complex formulations in contact with biomimetic surfaces using molecular dynamics simulations. • The design of eco-friendly cosmetic formulations was rationally accelerated.

  • Embedded OS
  • Other polymer materials
  • Computational Chemistry

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Easy operation that even children can do to quickly identify delayed SQL 'DPA'

- Centralized management of various database products is possible. - Even without database experience, it is easy to identify the presence of database performance bottlenecks and to pinpoint slow SQL queries.

The "Database Performance Analyzer (DPA)" is a monitoring product that performs operational monitoring of databases. DPA has two features that are not found in other monitoring products. Strength 1: It can monitor various database products and managed instances in the cloud with a single product module. Monitored database products: - Oracle Database - SQL Server - SAP ASE (Sybase) - DB2 - MySQL - MariaDB - Percona - PostgreSQL - EDB Postgres Strength 2: DPA detects and notifies about slow SQL queries. DPA learns the executed SQL using a machine learning feature called Anomaly Detection. Based on the learning results, DPA automatically detects performance degradation and notifies the user.

  • Other operation management software

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Presentation of Japanese Materials: Organic Electronics

Identifying promising candidate substances! Useful for selecting compounds that meet the conditions for device optimization.

This document introduces the applications of Schrodinger's 'Materials Science Suite' in organic electronics and organic EL. Through insights gained from computational results and theoretical interpretations, it is possible to identify promising candidate materials, enabling efficient development of organic light-emitting diodes (OLEDs) and organic semiconductors. Additionally, it is useful for selecting compounds that meet the conditions for device optimization. Specifically, using density functional theory (DFT), it is possible to calculate molecular properties related to organic EL material development, such as: - Oxidation potential - Reduction potential - Hole reorganization (rearrangement, reconfiguration) energy - Electron reorganization energy - Triplet energy - Triplet reorganization energy - Absorption spectrum - TADF S1-Tx gap - Fluorescence The structure of thin films can be predicted by simulating the actual deposition onto a substrate using molecular dynamics (MD). Basic information continues below.

  • Other electronic parts
  • simulator
  • Organic EL

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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.

Eonix is a startup focused on the rapid design of next-generation materials for energy storage technologies targeting home appliances, grid storage, and electric vehicles. CEO Don DeRosa, Ph.D., explains how combining high-throughput screening and physics-based modeling can transform the material discovery process for building better batteries.

  • Software (middle, driver, security, etc.)

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Centralized management of digital signage. Kabob Lookr feature.

Over 30,000 installations at 400 companies including McDonald's: A cloud-based digital signage solution for the next generation that exceeds expectations.

Intuitive operation, mass distribution from headquarters. When operating an organization/store, trying to implement each component separately requires enormous costs and time. We achieve comprehensive service provision that optimally manages numerous applications in the cloud. ■ Centralized management of multiple functions Widely applicable to signage, store BGM, personnel evaluation, facial recognition, and more. ■ Support for large-scale distribution By installing it on the internal network of user PCs, it enables rapid and large-scale information distribution. ■ Multi-platform support Compatible with platforms such as Android, Windows, and Linux, making it easy to understand installation usage and manage costs. ■ Easy operation With a simple interface and easy content management, anyone can use it easily anywhere. ■ Flexible and expandable Through data connections with other companies like POS registers, CRM, LINE, and WeChat, store management becomes smarter. ■ Abundant track record Based on experience in large chain stores such as APAMAN, McDonald's, IKEA, Burger King, and Sushiro, we provide high-quality services both domestically and internationally.

  • Industrial PCs
  • Integrated operation management

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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.

We will introduce the features of Schrödinger's Materials Science Solutions (MSS) in an easy-to-understand manner. 【Product Features】 ■ Molecular design using quantum calculations ■ Prediction of liquid and polymer physical properties ■ Crystals, surfaces, and interfaces: First-principles calculations for periodic systems, chemical reactions on electrodes and catalysts, and a wide range of applications to semiconductors/molecular crystals/MOFs ■ Statistical analysis and machine learning ■ Flexible and powerful GUI/CUI user interface *For more details, please feel free to contact us.

  • 【製品総合ガイド】product-overview.jpg
  • Embedded OS
  • EAI/ETL/WEB application server
  • simulator

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Utilization of the Schrödinger Platform at Panasonic

Towards the realization of faster new material development.

"By gaining access to Schrödinger's tools and unprecedented computational power, Panasonic Industry Co., Ltd.'s approach to innovation has changed." This article is based on an interview with Mr. Nobuyuki Matsuzawa, Principal Engineer at the Process Device Innovation Center of Panasonic Industry Co., Ltd. Please take a look. *For more details, please refer to the PDF document or feel free to contact us.*

  • Software (middle, driver, security, etc.)
  • aluminum
  • Memory

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AI platform for materials informatics

A quick solution to your materials informatics problems! 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 on 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 system 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.

  • IPROS68888577518366421904.png
  • 【製品総合ガイド】product-overview.jpg
  • Embedded OS

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