XPS (eXtended Particle Simulations) Description
XPS, short for eXtended Particle Simulations, represents an advanced Discrete Element Method simulation tool crafted by RCPE and made available worldwide by InSilicoTrials, specifically tailored for high-precision particle-based process simulations. This software is particularly focused on the pharmaceutical sector, enabling accurate forecasting of powder and granular material behavior, which aids teams in gaining insights, enhancing predictions, and managing pharmaceutical unit operations more effectively. Utilizing sophisticated contact models, XPS characterizes the flow dynamics of granular materials and employs highly parallel algorithms that are fine-tuned for contemporary GPUs, thereby expediting simulations involving as many as 100 million particles. By providing unparalleled detail in process configuration assessments, XPS empowers pharmaceutical engineers to navigate decision-making spaces virtually, significantly curtail the need for expensive and lengthy physical experiments, and bolster data-driven approaches to process development. As a result, this innovative software not only streamlines operations but also fosters a deeper understanding of material behaviors within pharmaceutical manufacturing environments.
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LIGGGHTS
LIGGGHTS is an open-source simulation software that employs the Discrete Element Method to model materials composed of particles, particularly emphasizing simulations related to industrial granules and heat transfer. The name LIGGGHTS reflects its foundation on LAMMPS, improved specifically to enhance simulations of general granular materials and their thermal dynamics, thereby broadening the reach of DEM into practical industrial scenarios. This tool is adept at simulating a variety of systems in which the behavior of materials arises from the dynamics, collisions, friction, cohesion, thermal exchange, and interactions among individual particles. It proves beneficial for studying an array of applications, including powders, grains, bulk solids, particulate flows, packed beds, conveyor systems, mixing operations, hopper discharges, and material handling, particularly in contexts where the behaviors at the particle level are significant. Currently, LIGGGHTS is embraced by numerous research institutions and commercial enterprises across the globe, valued for its open-source nature and the adaptability it offers in the simulation of particulate materials. Moreover, its versatility makes it an essential tool in advancing research and development in various fields related to granular systems.
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Aspherix
Aspherix is an advanced platform utilizing the Discrete Element Method to replicate the behavior of particles in various systems, facilitating precise process modeling for both industrial and research uses. This platform encompasses a full suite of DEM simulation tools that enable the examination of granular materials, powders, bulk solids, cohesive particles, polydisperse materials, and particle interactions in a multitude of environments and processes. Users of Aspherix benefit from robust control over simulation data, the ability to integrate information from different sources, and support for comprehensive analysis across diverse formats, which ultimately aids teams in streamlining operations and fostering product innovation through data-centric simulations. Featuring intuitive dashboards and real-time analytics, the platform empowers engineers to transition from intricate particle dynamics to swift and actionable insights, enhancing decision-making and efficiency in their projects. With its user-oriented design, Aspherix not only simplifies complex simulations but also encourages collaboration among team members, allowing for a more cohesive approach to problem-solving.
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Integrations
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Company Details
Company:
InSilicoTrials
Year Founded:
2016
Headquarters:
United States
Website:
insilicotrials.com/xps/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Training Videos
Customer Support
Online Support
XPS (eXtended Particle Simulations) Features and Options
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