engicloud.ai is built by DCS Computing GmbH— the Austria-based team behind LIGGGHTS®, CFDEM®coupling, and Aspherix®. Over a decade of open-source simulation software, EU research projects, and blue-chip industrial partnerships, distilled into a single AI-powered engineering platform.
Founded in 2012 in Linz, Austria — at the intersection of HPC, particle simulation, and engineering software.
DCS Computing GmbH is aleading provider of computational modelling and engineering solutionsfor particle and flow processes. Based in Linz and Vienna, Austria, the company was established in 2012 to give the open-source CFDEM®project a professional home — and has grown into the global reference for Discrete Element Method (DEM) and coupled CFD-DEM simulation.
The company operates at the interface ofphysical modelling, software engineering, mechanical and chemical engineering, and high-performance computing. Its flagship products — LIGGGHTS®, CFDEM®coupling, and the next-generation Aspherix® — are used by blue-chip companies worldwide to design and optimise industrial processes involving particles, powders, gases and liquids.
DCS combines open-source community development with professional commercial support, providing customers with flexible licensing, custom workflow development, and expert consultancy acrosspharmaceuticals, energy, mining, food & beverage, and chemical process industries.
engicloud.ai is DCS Computing's next step: bringing its decades of physics expertise into an AI-powered, cloud-native engineering platform accessible to every engineer — not just simulation specialists.
DCS Computing created and maintains two of the most widely used open-source simulation codes in computational engineering.
LIGGGHTS® (LAMMPS Improved for General Granular and Heat Transfer Simulations) is an open-source Discrete Element Method particle simulation code. Built on top of LAMMPS, it became the global standard for DEM simulation in research and industry, with the core developer and main author being Christoph Kloss (and later Arno Mayrhofer) of DCS Computing. Further contributions were made by Johannes Kepler University Linz, Graz University of Technology, BASF, Otto von Guericke University Magdeburg, University of Edinburgh, University of Ljubljana, Procter & Gamble, German Aerospace Center, SIMAP Grenoble, Universités à Aix en Provence, Chemnitz University of Technology, TU Bergakademie Freiberg, University of Cape Town, University of Erlangen, University of Illinois, Royal Veterinary College, University of London, Princeton University, U.S. Naval Research Laboratory, Sandia National Laboratories, ICTP, EPFL, TU Braunschweig, Vienna University of Technology, Züblin Stuttgart, ETH Zürich, Hamburg University of Technology, University of Oulu, Overland Conveyor, Roche Consulting Group, Astec Inc., Twister BV, Corning Inc., Austrian Academy of Sciences, Russian Academy of Sciences, Temple University, NTB Buchs, Intrame, University of Twente, Johnson Matthey, John Deere .
Its successor, Aspherix®, continues the lineage with GPU acceleration, modern software architecture, and a full GUI.
CFDEM®coupling provides an open-source parallel coupled CFD-DEM framework, combining LIGGGHTS® DEM with the OpenFOAM® CFD package. It allows engineers to model complex fluid-particle interactions — heat transfer, chemical reactions, multiphase flows — at industrial scale on distributed-memory clusters.
Developed by Christoph Goniva (Managing Director, DCS Computing), with contributions from with contributions from DCSComputing, JKU Linz, TU Graz, Polytechnique Montreal, and BASF. Its modular architecture lets users implement new models via simple dictionary settings, and it runs fully parallel using MPI. Recently updated for compatibility with OpenFOAM-6 on Ubuntu 22.04 and 24.04.
Coupling between the Lattice-Boltzmann code Palabos and the DEM code Aspherix® — enabling LBM-DEM simulations for complex pore-scale fluid-particle physics.
GitHubOpen-source simulation engine for intra-particle heat and mass transfer — designed to capture what happens inside particles during drying, combustion, or chemical reaction.
GitHubCoarse-graining and post-processing toolbox for DEM and CFD-DEM data — enables scale-bridging from particle-resolved simulations to continuum process models.
GitHubLibrary for co-simulation of different codes communicating via sockets — enables live coupling of Aspherix® with external solvers, control systems, or digital twin environments.
GitHubFrom pharmaceutical giants to mining equipment makers — DCS software is trusted by research labs and industry leaders worldwide.
We partner with DCS Computing to develop numerical methods and enhance our understanding of pharmaceutical unit operations — providing tools for optimisation and approaches to minimise risk of failure during the development of manufacturing processes to create novel medicines for our patients.
We profit from close collaboration with DCS Computing GmbH on the development of an innovative simulation model that helps us advance in computational process engineering. We appreciate their capacious expert knowledge and strong technical support.
ESCO has utilised DCS' DEM technology to simulate mining excavation since 2013 for products such as hydraulic face shovels, excavators, draglines and rippers. DCS' technology and expert support has greatly accelerated our capability and project completion rate.
Software solutions provided by DCS Computing have enabled us to solve industrial problems beyond the capabilities of general fluid flow simulators. Support and cooperation with DCS has been excellent throughout these years.
Cantene uses Aspherix® to simulate rotating dryers where it is necessary to reduce the humidity of different types of sand. Thanks to the proactive support of DCS Computing we have been able to create a platform to support the design of new optimised dryers for our customers.
Scientists at Idaho National Laboratory performed DEM simulation studies of bulk mechanical tests for woody biomass particles using LIGGGHTS. A reasonable agreement was found between DEM simulations and physical experiments in a cyclic loading & unloading test.
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DCS Computing's work underpins hundreds of peer-reviewed studies. Below is a representative selection spanning DEM, CFD-DEM, and pharmaceutical process modelling.
DCS Computing regularly participates in European research projects — staying connected to cutting-edge academia to deliver competitive advantages to its users.