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features
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support

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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

Transforming materials data into superior products at an accelerated pace enhances research and development, streamlines scaling processes, and optimizes quality control and supply chain decisions. This approach enables the discovery of innovative materials while utilizing machine learning guidance to predict outcomes, leading to swifter and more effective results. As you progress towards production, you can construct a model that tests the boundaries of your products, facilitating the design of cost-effective and resilient production lines. Furthermore, these models can forecast potential failures by analyzing the supplied materials informatics alongside production line parameters. The Materials Zone platform compiles data from various independent sources, including materials suppliers and manufacturing facilities, ensuring secure communication between them. By leveraging machine learning algorithms on your experimental data, you can identify new materials with tailored properties, create ‘recipes’ for their synthesis, develop tools for automatic analysis of unique measurements, and gain valuable insights. This holistic approach not only enhances the efficiency of R&D but also fosters collaboration across the materials ecosystem, ultimately driving innovation forward.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 

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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
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

Materials Zone

Country

Israel

Website

www.materials.zone/

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 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics Yes 
Process/Workflow Automation Yes 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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 

Data Management

Customer Data No 
Data Analysis No 
Data Capture Yes 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

LIMS

Audit Trail No 
Certificates of Analysis No 
Data Import / Export No 
Electronic Laboratory Notebook No 
Inventory Management No 
Lab Instrument Interface No 
Reporting & Statistics No 
Sample Tracking No 
Specification Management No 
Workflow Management Yes 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Lifecycle Management

Change Management No 
Compliance Management No 
Cost Tracking No 
Design Management No 
Document Management Yes 
Product Data Management No 
Project Management No 
Requirements Management No 
Supplier Management No 

Simulation

1D Simulation No 
3D Modeling No 
3D Simulation No 
Agent-Based Modeling No 
Continuous Modeling No 
Design Analysis No 
Direct Manipulation No 
Discrete Event Modeling No 
Dynamic Modeling No 
Graphical Modeling No 
Industry Specific Database Yes 
Monte Carlo Simulation No 
Motion Modeling No 
Presentation Tools No 
Stochastic Modeling No 
Turbulence Modeling No 

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