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What is ExoMatter?

ExoMatter is transforming the historically laborious and costly journey of materials research and development by leveraging cutting-edge AI technologies alongside robust data-mining capabilities. The platform presents a customized assortment of the most suitable materials tailored to your unique requirements. By amalgamating data sourced from a variety of scientific repositories and your own datasets, ExoMatter refines this information through the application of AI, allowing for the assessment of a wide range of multidimensional physical, chemical, and engineering factors, in addition to sustainability considerations and anticipated costs. Our dedication to utilizing scientific materials data is aimed at pinpointing superior and more environmentally friendly materials. With our state-of-the-art materials research platform, you can efficiently sift through millions of materials, employing AI-driven tools that not only enhance the data but also grant you substantial control over your selection parameters. Take advantage of ExoMatter’s distinctive scoring and ranking system to create a curated list of materials that perfectly align with your application, ensuring that your decisions in materials selection are both informed and efficient. This innovative approach not only quickens your research processes but also significantly boosts the overall quality and sustainability of your material decisions, ultimately contributing to a greener future. In doing so, ExoMatter empowers researchers and developers alike to discover new possibilities in material science.

What is AQChemSim?

AQChemSim, an advanced cloud-based service developed by SandboxAQ, employs Large Quantitative Models (LQMs) rooted in physical and chemical principles to revolutionize the field of materials discovery and improvement. By integrating methodologies such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim enables accurate simulations of molecular and material behavior in practical applications. Its capabilities include predicting performance across various stress scenarios, accelerating formulations through in silico assessments, and exploring environmentally friendly chemical processes. Notably, AQChemSim has made significant strides in the realm of battery technology, reducing the prediction time for the end-of-life of lithium-ion batteries by an impressive 95%, while achieving 35 times greater precision with only a fraction of the previously necessary data. This groundbreaking progress not only enhances the efficiency of research but also opens up opportunities for more sustainable energy solutions in the future. As such, AQChemSim stands at the forefront of innovation, driving advancements that could reshape entire industries.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

ExoMatter

Date Founded

2022

Company Location

Germany

Company Website

www.exomatter.ai/

Company Facts

Organization Name

SandboxAQ

Date Founded

2021

Company Location

United States

Company Website

www.sandboxaq.com/solutions/aqchemsim

Categories and Features

Data Mining

Not specified

Materials Science

Not specified

Categories and Features

Chemical

Not specified

Materials Science

Not specified

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