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

Last Updated： Aggregation Period:Sep 03, 2025～Sep 30, 2025
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soft Product List

61～75 item / All 100 items

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Management software "ENOVIA MCM"

Management software "ENOVIA MCM"

By having content information on the EBOM, it enables design and development that takes compliance (environmental regulations) into consideration!

"ENOVIA Materials Compliance Management (MCM)" is a management software that enables designers to conduct their designs while verifying product content, allowing each designer to develop with environmental standards in mind, thereby achieving a clean eco-reform for the company. 【Features】 ■ Reduction of investigation man-hours / Prevention of investigation errors ■ Eco-design and design reform ■ Global eco-design *For more details, please download the PDF or feel free to contact us.

  • Other operation management software
  • Other production management systems

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

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

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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AI Platform for Materials Informatics [Simplified Version]

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.

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

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AI platform for materials informatics

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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Utilization of the Schrödinger Platform at Panasonic

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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[User Case Presentation] Development of Next-Generation Lithium-Ion Batteries

[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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Introducing Schrödinger's materials development support products in an easy-to-understand manner.

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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Presentation of Japanese Materials: Organic Electronics

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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