Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AQChemSim 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 landscape of materials discovery and enhancement. By incorporating techniques such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim facilitates precise simulations of molecular and material dynamics in real-world scenarios. The platform's features allow it to forecast performance under diverse stress conditions, expedite formulation via in silico testing, and investigate eco-friendly chemical processes. Remarkably, AQChemSim has achieved notable progress in battery technology, cutting the prediction time for lithium-ion battery end-of-life by 95%, while also attaining 35 times greater accuracy with a mere fraction of the data previously required. This advancement not only streamlines research but also paves the way for more efficient and sustainable energy solutions in the future.
Description
Siemens' gPROMS technology for digital process design and operations empowers organizations in the process industry to navigate intricate design and operational choices every day, leading to the creation of sustainable value. By harnessing extensive process knowledge through high-fidelity predictive models, gPROMS facilitates a swift and efficient examination of the decision-making landscape related to processes and products. It embodies essential insights about processes, enabling the application of sophisticated mathematical methods for analysis and optimization, ultimately improving both design and operational efficiency. This methodology not only propels innovation but also assists in achieving economically advantageous process designs while effectively mitigating technology risks. The gPROMS Process modeling environment encompasses the complete cycle from concept to operations in process design. With its cutting-edge analysis and optimization capabilities applied to high-fidelity models, it significantly speeds up the design process, accurately assesses and manages risks, and identifies the most effective process designs that deliver value throughout the entire lifespan of the plant. Furthermore, this integrated approach ensures that organizations can remain competitive in a rapidly evolving market.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
SandboxAQ
Founded
2021
Country
United States
Website
www.sandboxaq.com/solutions/aqchemsim
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/global/en/products/automation/industry-software/gproms-digital-process-design-and-operations.html
Product Features
Chemical
Certificates of Analysis
No
Chemical Process Simulation
No
Computer-Assisted Structure Elucidation (CASE)
No
ISO Management
No
Inventory Management
No
Particle Tracking
No
Reporting & Statistics
No
Samples Tracking
No
Traceability
No
Uncertainty Analysis
No