Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Ansys Rocky is an advanced discrete element method simulation solution designed to help engineers accurately model particle behavior in complex industrial processes. The software specializes in analyzing granular materials and particle interactions using highly realistic representations of particle shapes, sizes, and physical properties. With multi-GPU acceleration, Ansys Rocky can process large particle counts efficiently, allowing users to tackle computationally demanding simulations with faster turnaround times. The platform supports sophisticated physics models, including wear analysis, particle breakage, cohesion effects, fluid-particle interactions, and multiphysics simulations. Integration with Ansys Fluent and other engineering tools enables users to combine DEM, CFD, and structural analysis for deeper insight into system performance. Engineers can import 3D scans, simulate non-spherical particles, and model fibers and shell-based materials with high accuracy. The software is used in industries such as manufacturing, mining, pharmaceuticals, agriculture, energy, and consumer products where particle flow behavior plays a critical role. Automation and scripting capabilities help streamline workflows and reduce manual setup effort. By providing detailed insight into particle dynamics and equipment interactions, Ansys Rocky supports better engineering decisions and faster product innovation.

Description

ESPResSo, which stands for the Extensible Simulation Package for Research on Soft Matter, is a flexible and open-source simulation tool designed for executing and analyzing molecular dynamics and Monte Carlo simulations involving multiple particles. This package serves as a comprehensive resource for modeling a diverse range of soft matter systems, with a particular focus on coarse-grained atomistic or bead-spring models that find applications in fields such as physics, chemistry, molecular biology, and engineering processes. Users can leverage ESPResSo to simulate various phenomena, including polymers, liquid crystals, colloids, polyelectrolytes, ferrofluids, gels, biological systems, DNA structures, lipid membranes, bacterial movements, and even super-capacitors. By employing coarse-grained models, where clusters of atoms or molecules are simplified into single beads, researchers can explore significantly larger time and length scales that would be unfeasible with purely atomistic approaches. Furthermore, ESPResSo enables the execution of classical molecular dynamics simulations across multiple statistical ensembles, enhancing its versatility in scientific research. This capability allows scientists to tackle complex problems in soft matter physics more efficiently and effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Ansys Mechanical
Python

Integrations

Ansys Mechanical
Python

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Ansys

Founded

1970

Country

United States

Website

www.ansys.com/products/fluids/ansys-rocky

Vendor Details

Company Name

ESPResSo

Country

United States

Website

espressomd.org/wordpress/

Alternatives

Alternatives

MFiX Reviews

MFiX

National Energy Technology Laboratory
NAMD Reviews

NAMD

Theoretical and Computational Biophysics Group