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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Energy2D is an interactive multiphysics simulation program grounded in computational physics, designed to model the three primary modes of heat transfer: conduction, convection, and radiation, while also integrating particle dynamics. This software operates efficiently on a wide range of computers, simplifying the process by removing the need for switches between preprocessors, solvers, and postprocessors that are usually necessary for computational fluid dynamics simulations. Users can create "computational experiments" to explore scientific hypotheses or address engineering challenges without the need for intricate mathematical formulations. Additionally, development is ongoing to introduce various energy transformation types and to enhance support for different fluid types. While Energy2D excels in accurately modeling conduction, its representations of convection and radiation are not entirely precise, which means results involving these elements should be regarded as qualitative. Over 40 scientific papers have utilized Energy2D as a valuable research instrument, showcasing its adoption in the academic community. As the program evolves, its capabilities are expected to expand further, potentially offering more comprehensive insights into complex physical interactions.

Description

Promethium is an innovative platform for chemistry simulations that harnesses the power of GPUs to significantly speed up the development of drugs and materials by providing more efficient and precise quantum chemistry calculations. Specifically engineered for NVIDIA data center GPUs, such as the A100, it utilizes advanced QC Ware streaming algorithms to deliver remarkable computational speed and impressive power efficiency. This platform can perform density functional theory (DFT) calculations on molecular systems containing as many as 2,000 atoms, enabling researchers to conduct simulations of large molecular structures that traditional CPU-based ab initio methods cannot handle. For example, it can execute a single-point calculation for a protein with 2,056 atoms in just 14 hours using only one GPU. Promethium is equipped with a diverse array of functionalities, including single-point energy computations, geometry optimizations, conformer searches, torsion scans, reaction path optimizations, transition state optimizations, interaction energy evaluations, and relaxed potential energy surface explorations. Its capabilities make it a powerful tool for chemists looking to push the boundaries of molecular modeling and simulation. Ultimately, Promethium is set to transform the landscape of computational chemistry.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
NVIDIA DRIVE
Python
Raspberry Pi OS

Integrations

Amazon Web Services (AWS)
NVIDIA DRIVE
Python
Raspberry Pi OS

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$30 per hour
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

The Concord Consortium

Founded

2010

Country

United States

Website

energy.concord.org/energy2d/

Vendor Details

Company Name

Promethium

Country

United States

Website

www.promethium.qcware.com

Product Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

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