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What is BIOVIA Materials Studio?
BIOVIA Materials Studio is a comprehensive platform designed for modeling and simulation, aimed at aiding researchers in materials science and chemistry to predict and understand the relationship between a material's atomic and molecular structures and its properties and functionalities. By implementing an "in silico first" approach, researchers are able to optimize material performance in a cost-effective virtual environment prior to engaging in physical experimentation. This adaptable software supports a wide range of materials, including catalysts, polymers, composites, metals, alloys, pharmaceuticals, and batteries. It offers extensive capabilities covering quantum, atomistic, mesoscale, statistical, analytical, and crystallization simulations, facilitating the creation of innovative materials across various industries. Furthermore, its features encourage swift innovation, significantly reduce research and development costs through virtual screening, and enhance productivity by automating routine tasks within Pipeline Pilot, ultimately making it a vital resource for contemporary material research and development. The broad functionality provided not only improves research efficiency but also ensures that users remain at the cutting edge of advancements in material science, continually pushing the boundaries of what is possible.
What is AtomBeam?
There is no requirement to buy any hardware or alter your network setup, as installation is simply a matter of easily configuring a compact software library. By 2025, forecasts suggest that an astonishing 75% of the data created by enterprises, which amounts to 90 zettabytes, will be generated by IoT devices. For context, the total storage capacity of all data centers worldwide is currently less than two zettabytes combined. Alarmingly, 98% of IoT data is left unsecured, highlighting the urgent need for robust protection measures. Additionally, there are ongoing worries about the lifespan of sensor batteries, with few viable solutions expected to emerge soon. Many users also face challenges related to the restricted range of wireless data transmission. We envision that AtomBeam will transform the IoT landscape in a way similar to how electric light changed everyday experiences. Several obstacles hindering the broader acceptance of IoT can be overcome through the seamless implementation of our compaction software. By leveraging our technology, users can improve security, extend battery life, and broaden transmission capabilities. Furthermore, AtomBeam offers a significant opportunity for businesses to reduce costs associated with both connectivity and cloud storage, making it a highly attractive choice for those prioritizing efficiency. As IoT demand continues to climb, our innovative solutions provide a timely and effective response to the fast-evolving technological environment. In this way, we aim to not only address current challenges but also pave the way for a more interconnected future.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Dassault Systèmes
Date Founded
1981
Company Location
France
Company Website
www.3ds.com/products/biovia/materials-studio
Company Facts
Organization Name
AtomBeam
Company Location
United States
Company Website
atombeamtech.com
Categories and Features
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization