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features
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support

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Description

Alchemite specializes in AI-enhanced physical modeling and offers solutions that assist organizations in deriving actionable insights from both experimental and simulation data, merging machine learning techniques with physics-informed models to enhance prediction accuracy, decrease experimental expenses, and streamline product and process development. Their offerings encompass a variety of domains, including materials discovery and design, predictive modeling for performance and reliability, multiscale modeling that bridges atomic and macroscopic behavior, as well as the automation of various workflow tasks such as data integration, surrogate modeling, and model validation. Furthermore, they advocate for physics-aware neural networks and hybrid modeling strategies that adhere to fundamental scientific principles while simultaneously learning from data, leading to quicker and more precise simulations, a diminished need for costly physical testing, and better-informed decision-making processes. Intellegens' tools find applications in various fields, including the prediction of battery performance and optimization of chemical processes, showcasing their versatility and effectiveness in addressing complex challenges. By integrating advanced computational methodologies, Alchemite aims to empower organizations to innovate and achieve their goals more efficiently.

Description

NVIDIA Modulus is an advanced neural network framework that integrates the principles of physics, represented through governing partial differential equations (PDEs), with data to create accurate, parameterized surrogate models that operate with near-instantaneous latency. This framework is ideal for those venturing into AI-enhanced physics challenges or for those crafting digital twin models to navigate intricate non-linear, multi-physics systems, offering robust support throughout the process. It provides essential components for constructing physics-based machine learning surrogate models that effectively merge physics principles with data insights. Its versatility ensures applicability across various fields, including engineering simulations and life sciences, while accommodating both forward simulations and inverse/data assimilation tasks. Furthermore, NVIDIA Modulus enables parameterized representations of systems that can tackle multiple scenarios in real time, allowing users to train offline once and subsequently perform real-time inference repeatedly. As such, it empowers researchers and engineers to explore innovative solutions across a spectrum of complex problems with unprecedented efficiency.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
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 No 
Mac No 
Linux Yes 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Intellegens

Founded

2017

Country

United Kingdom

Website

intellegens.com/solutions/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/modulus

Product Features

Machine Learning

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

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