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Description
BIOVIA Materials Studio serves as an all-encompassing platform for modeling and simulation, specifically tailored to assist researchers in the fields of materials science and chemistry in forecasting and comprehending how a material's atomic and molecular configurations correlate with its characteristics and functionalities. By adopting an "in silico first" strategy, researchers can enhance material performance in a budget-friendly virtual environment before moving to physical experimentation. This versatile software accommodates a diverse array of materials, such as catalysts, polymers, composites, metals, alloys, pharmaceuticals, and batteries. With capabilities that span quantum, atomistic, mesoscale, statistical, analytical, and crystallization simulations, it streamlines the development of innovative materials across multiple sectors. Additionally, its features promote rapid innovation, decrease research and development expenditures through virtual screening, and boost productivity by automating established practices within Pipeline Pilot, making it an indispensable tool for modern material research and development. This comprehensive functionality not only enhances research efficiency but also positions users at the forefront of material advancements.
Description
Eatron's Intelligent Software Layer (ISL) represents an innovative approach aimed at maximizing the capabilities of batteries by improving their performance, increasing their longevity, and prioritizing safety. By utilizing our unique algorithms, we achieve remarkable State of Charge (SoC) accuracy of ±1%, which is significantly better than the industry standard of ±3%, while also ensuring a State of Health (SoH) accuracy of ±2% across the battery's lifespan, compared to the typical ±5%. This level of precision enables the extraction of optimal performance from batteries without sacrificing safety measures. Our patented method for forecasting Remaining Useful Life (RUL) integrates a comprehensive knowledge of battery chemistries with cutting-edge machine learning and AI technologies, facilitating real-time life predictions based on actual usage patterns. Continuous monitoring of battery health allows us to respond to changes within the pack, potentially prolonging operational life by as much as 25%. Furthermore, safety remains a top priority; our AI diagnostic tools can foresee cell failures weeks in advance with an impressive accuracy rate of 90%, ensuring reliable operation and peace of mind for users. This holistic approach not only enhances battery efficiency but also sets a new standard in the field of battery management technology.
API Access
Has API
API Access
Has API
Integrations
AWS Marketplace
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/materials-studio
Vendor Details
Company Name
Eatron
Founded
2018
Country
United Kingdom
Website
eatron.com
