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What is Thermo-Calc?

Thermo-Calc serves as a sophisticated thermodynamic modeling software that is employed by materials scientists and engineers to extract critical data about material properties, enhance their comprehension of materials, elucidate specific phenomena, and tackle focused questions related to particular materials and their processing methods. The software includes an array of standard calculators available with all licenses, such as the Equilibrium Calculator, Scheil Solidification Simulations, Property Model Calculator, General Model Library, Material to Material Calculator, Pourbaix Diagram Module, and the Data Optimization Module (PARROT). Users can also expand Thermo-Calc's functionalities through various Add-on Modules and gain access to over 40 databases, all integrated into a unified platform that promotes an efficient working environment. This software is capable of calculating the state of a specified thermodynamic system, providing crucial insights into phase quantities and compositions, transformation temperatures, solubility limits, and the forces driving phase formation, among other essential metrics. In addition, Thermo-Calc empowers users to conduct innovative research and development in the field of materials science by allowing for the simulation of diverse scenarios and accurate prediction of outcomes. With its comprehensive features, the software stands as a vital resource for advancing knowledge and techniques in materials engineering.

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

HTML

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Thermo-Calc

Date Founded

1997

Company Location

Sweden

Company Website

thermocalc.com/products/thermo-calc/

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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