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Description
AQBioSim is an innovative cloud-based platform created by SandboxAQ that utilizes Large Quantitative Models (LQMs) based on principles of physics and chemistry to transform the processes of material discovery and optimization. By combining techniques such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQBioSim facilitates highly accurate simulations of molecular and material behaviors in real-world scenarios. Among its numerous features, AQBioSim can predict performance under various stressors, enhance formulation processes through in silico testing, and investigate eco-friendly chemical methods. A standout achievement of AQBioSim lies in its remarkable progress in battery technology, where it has cut the time needed for lithium-ion battery end-of-life predictions by an astonishing 95%, while also attaining 35 times greater accuracy using only 50 times less data. This platform thus not only accelerates material innovation but also significantly contributes to advancements in sustainable energy solutions.
Description
Our advanced battery analytics platform delivers state-of-the-art solutions for monitoring, analyzing, and optimizing battery performance. By utilizing a variety of machine learning techniques and battery-specific algorithms, we ensure accurate results across diverse scenarios. The platform features an API that allows for seamless integration with third-party applications, such as fleet management systems. Instead of relying on guesswork, laboratory experiments, and cumbersome manual data management, users can conduct virtual testing and enjoy automated handling of lab data. The model library enables users to effectively test battery cells in a virtual environment, further enhancing the development process. Our data management software solutions also facilitate the efficient organization of lab data, allowing for better decision-making. By utilizing field data analytics, you can optimize your development efforts. The TWAICE battery model library grants access to a wide array of high-fidelity electrical, thermal, and aging models of the latest lithium-ion battery cells available on the market today, ensuring that you have the most accurate and up-to-date resources for your projects. This comprehensive approach not only streamlines the research and development process but also significantly accelerates innovation in battery technology.
API Access
Has API
API Access
Has API
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
SandboxAQ
Founded
2021
Country
United States
Website
www.sandboxaq.com/solutions/aqbiosim
Vendor Details
Company Name
TWAICE Technologies
Country
Germany
Website
twaice.com
Product Features
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
