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What is FactSage?

FactSage is a comprehensive suite of software and databases designed for thermochemical analysis, developed through a partnership between Thermfact/CRCT, situated in Montreal, Canada, and GTT-Technologies, based in Aachen, Germany. Since its introduction in 2001, it has integrated the features of the FACT-Win/FAC*T and ChemSage/SOLGASMIX thermochemical tools, which are the result of over twenty years of collaborative research efforts. This software provides a variety of modules that facilitate information retrieval, database access, calculations, and data manipulation, effectively addressing the needs of a broad spectrum of pure substances and solution data. It caters to a wide range of users, including professionals in industry, governmental organizations, and academic institutions, spanning fields such as materials science, pyrometallurgy, hydrometallurgy, electrometallurgy, corrosion science, glass technology, combustion, ceramics, and geology. Users benefit from a wealth of thermodynamic data for numerous compounds and can access curated databases for hundreds of solutions, which include metals, oxides, slags, mattes, salts, and various aqueous solutions. Consequently, FactSage stands out as an essential resource for experts in search of dependable thermochemical information and analysis, making significant contributions to their research and development endeavors. Its ongoing updates and improvements ensure that it remains at the forefront of thermochemical software solutions.

What is Atinary SDLabs Platform?

Atinary's Self-Driving Labs (SDLabs) platform provides a no-code approach for artificial intelligence and machine learning, designed to revolutionize research and development workflows by enabling traditional laboratories to transition from manual experiments to fully autonomous experimentation. This innovative platform bolsters the design and improvement of experiments through a robust closed-loop system that integrates AI-generated hypotheses, predictions, and decision-making processes. Among its key functionalities are multi-objective optimization, effective database management, seamless workflow orchestration, and immediate data analysis. Users can define experimental parameters with specific limitations, allowing machine learning algorithms to guide the subsequent phases of the process, carry out experiments either manually or with robotic assistance, evaluate results, and refresh models with the most recent data, thereby accelerating the journey toward more efficient, cost-effective, and environmentally sustainable products. Furthermore, Atinary provides exclusive algorithms such as Emmental for addressing non-linear constrained optimization challenges, SeMOpt for facilitating transfer learning within Bayesian optimization, and Falcon, all of which significantly boost the platform's capabilities and performance. By utilizing these sophisticated tools, researchers are empowered to enhance their experimental workflows, fostering greater efficiency and driving innovation in their fields. Ultimately, the SDLabs platform represents a transformative shift in how laboratories approach experimentation, paving the way for groundbreaking discoveries.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

FactSage

Date Founded

2001

Company Location

Canada

Company Website

factsage.com/introduction/

Company Facts

Organization Name

Atinary

Date Founded

2019

Company Location

Switzerland

Company Website

atinary.com/solutions/

Categories and Features

Materials Science

Not specified

Categories and Features

Materials Science

Not specified

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