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ease
features
design
support

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Description

BIOVIA COSMO-RS serves as an extensive toolkit for modeling and forecasting fluid phase characteristics, which empowers professionals such as chemical engineers, chemists, formulation experts, and materials scientists to innovate and develop solutions more rapidly and effectively than relying solely on traditional testing and experimentation methods, thereby enhancing innovation while minimizing costs. The simulations conducted using COSMO-RS are grounded in a solid scientific framework, guaranteeing dependable predictions across the entire spectrum of liquid-state chemistry. By employing a first-principle methodology, it is capable of forecasting the properties of new compounds that have yet to be synthesized, pushing the boundaries of known chemical territory. The team behind BIOVIA consists of the original creators of COSMO-RS, providing prompt assistance and unparalleled expertise to tackle even the most complex challenges in solution thermodynamics. Additionally, the primary advantages encompass a solid scientific basis that merges quantum chemistry with thermodynamics to assure both accuracy and reliability, fostering a deeper understanding of fluid behaviors in various contexts. This comprehensive approach not only streamlines the research process but also opens up new avenues for exploration within the field.

Description

ExoMatter is revolutionizing the traditionally tedious and expensive process of materials research and development by harnessing advanced AI technologies and data-mining capabilities. The platform offers a tailored selection of the most appropriate materials for your specific needs. By integrating data from various scientific repositories and your own datasets, ExoMatter enhances this information through AI, enabling you to evaluate a diverse array of multidimensional physical, chemical, and engineering factors, alongside sustainability concerns and projected costs. Our commitment to using scientific materials data aims to identify superior and more eco-friendly materials. With our innovative materials research platform, you can swiftly navigate through millions of materials, using AI-driven tools that not only enrich the data but also provide you with comprehensive control over your selection criteria. Leverage ExoMatter’s unique scoring and ranking system to compile a refined list of materials that best suit your application, ensuring that you make informed and efficient choices in your materials selection process. This approach not only streamlines your research efforts but also significantly enhances the overall quality and sustainability of your material choices.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dassault Systèmes

Founded

1981

Country

France

Website

www.3ds.com/products/biovia/cosmo-rs

Vendor Details

Company Name

ExoMatter

Founded

2022

Country

Germany

Website

www.exomatter.ai/

Product Features

Chemical

Certificates of Analysis
Chemical Process Simulation
Computer-Assisted Structure Elucidation (CASE)
ISO Management
Inventory Management
Particle Tracking
Reporting & Statistics
Samples Tracking
Traceability
Uncertainty Analysis

Product Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

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