The American Modelica & FMI Conference 2026 will be an in-person conference event. The conference will take place at the Georgia Institute of Technology in the Aerospace Systems Design Laboratory from October 12–14, 2026. It is organized by NAMUG, the North American Modelica Users Group, in cooperation with the Modelica Association. Join us in person in Atlanta!

About the Conference
The Modelica & FMI Conference is the main event for users, library developers, tool vendors and language designers to share their knowledge and learn about the latest scientific and industrial progress related to Modelica, FMI, SSP, eFMI, DCP and methods and tools for equation oriented languages. Please take a look at the Call for Papers if you are interested in submitting.
The program will cover processes and tools for the modeling of complex physical and cyber-physical systems as applied to a wide range of research and industrial applications, and will have a new track in this conference that covers technical contributions from equation-oriented languages other than Modelica.
It is supported by many Modelica and non-Modelica tools and is the key to utilizing Modelica models in non-Modelica environments.
For the 2026 conference we will include a new track on the structure and application of equation-oriented modeling languages other than Modelica into the program,
since we see many similarities that will enrich a conversation centered on principles of equation-oriented modeling.
We invite users of these other modeling languages to submit their technical publications to this conference, and hope
that the broader scope will benefit the growth of equation-oriented modeling.
In addition to paper presentations, the conference features several Modelica tutorials for beginners and advanced users, as well as user presentations, vendor sessions, and an exhibition.
Workshops and Tutorials will be given on the afternoon of October 12th 2026, the keynotes, paper presentations and other parts of the program will be on October 13th and 14th.
In building on the successes of the previous American Modelica conference, we are also happy to announce a Student Best Paper competition.
Additional details are available in the call for papers.
Registration now open!
Registration is now open on Eventbrite This site can also be used for registereing as sponsors by buying a sponsorship ticket. If you plan to attend a workshop, please register also on Eventbrite for no more than 2 non-overlapping workshops that are not in parallel. Workshop attendance is free of charge, but we need to know attendance in order to assign the right sized rooms.
Our Sponsors
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Sponsorship opportunities
The American Modelica conference will be your opportunity to meet your customers again in a personal setting, at a great location. Please stay tuned for details about our sponsorship opportunities, we will post them here in the near future. Note that all sponsors will have the opportunity to exhibit at the conference, and that we don’t offer a separate way to exhibit at the conference.
The American Modelica Conference 2026 relies heavily on sponsors to maintain the affordability of the ticket prices. If you are interested in sponsoring the conference, please check out the conditions at in our call for sponsors and contact us as soon as possible at modelicaNA2026@groups.liu.se.
Keynotes
Pushing the Limits by Open Standards: Enabling Larger, Faster, and More Credible System Simulations

Oliver Lenord, Research and Development Engineer at Bosch Corporate Research, Project leader of OpenScaling project.
Scalability of virtual engineering has become an increasingly critical demand driven by the innovation pressure towards carbon neutral, energy-efficient and cost-effective solutions. Open standards like Modelica, FMI, eFMI and SSP play a major role in making system simulation accessible to a broad user base, fostering a rich ecosystem of research and technology deOvelopment across academia and industry. The European publicly funded project OpenSCALING (Open Standards for SCALable Virual EngineerING) has further strengthened this ecosystem through standard enhancements and new methods, enabling simulation and credible processes to scale to the next level. This talk will highlight key project achievements in the fields of:
- Modelica compiler enhancements
- Integration of scientific machine learning with Modelica
- Uncertainty quantification and credible workflows
Reference to newly developed methods and standard enhancements are given including array-preserving compilation, pre-compiled components, and improved support of sensitivities in FMI. In addition the newly proposed layered standards ls-sa (for sensitivity analysis) and ls-uq (for uncertainty quantification) are briefly introduced.
Benchmarks and examples will illustrate these advances, demonstrating the ability to:
- Increase maximum model size by orders of magnitude
- Drastically reduce compile and simulation start-up times
- Accelerate simulations by orders of magnitude using surrogate modeling and machine learning
- Integrate and efficiently process Artificial Neural Networks within Modelica
- Leverage FMI in diverse machine learning environments for robust model training
- Enable traceable credibility workflows through standardized metadata in FMI and SSP
- The practical relevance of these advances will be demonstrated referring to selected industrial use cases from different application domains.
Finally, an outlook will be given on the future potential of agentic AI for Modelica and the proposed Base Modelica language.
Nuclear System Modeling for Integrated Energy Systems Analyses

Dr. Daniel Mikkelson is an integrated energy modeling and simulation engineer at Idaho National Laboratory.
The HYBRID modeling repository has been developed to analyze the control, dispatch, and feedback of integrated energy systems that leverage nuclear power for thermal and electrical applications. As global priorities endorse nuclear energy, enabling rapid, open-source, dynamic evaluation of potential nuclear applications can enable faster development of integrated systems that will improve the utilization of nuclear energy in diverse applications for both brownfield and greenfield integrations. An overview of the nuclear approach to modeling and simulation will present areas where Modelica presents an ideal tool to investigate configuration viability in dynamic deployment scenarios.
Workshops
The workshops below are offered free of charge to all Conference attendees. Workshop registration on Eventbrite is now open. All workshops will be on the afternoon of Monday, October 12 2026, in order to allow travelers to arrive in time for the workshops when traveling in the morning.
| Title | Duration |
|---|---|
| Introduction to Object Oriented Modeling, Simulation, Debugging and Dynamic Optimization with Modelica using OpenModelica | 3h-4h with breaks included. |
| Agentic Modeling and Simulation with Julia/Dyad | 4 hours |
| Modeling HVAC and Control Systems with the Modelica Buildings Library | 3-4 hours |
| Hands-On with Rumoca: Modelica Source, Simulation, and Algebraic Backends in VS Code | 2 hours |
| Physics + AI in Practice: Accelerating Modelica Workflows with Modelon Impact | 3 hours |
Introduction to Object Oriented Modeling, Simulation, Debugging and Dynamic Optimization with Modelica using OpenModelica
This tutorial gives an introduction to the Modelica language, the OpenModelica environment, and an overview of modeling and simulation in a number of application areas. Some advanced features of OpenModelica will be presented, including debugging, profiling, clocked synchronous support, real-time embedded code generation, OMPython, OMJulia, FMI export, etc. A number of hands-on exercises will be done during the tutorial, both graphical modeling using the Modelica Standard Library (MSL) and textual modeling. Bring your laptop for exercises.
Presenters: Adrian Pop (Linköping University) – online, Luigi Vanfretti (Rensselaer Polytechnic Institute) – on site
Agentic Modeling and Simulation with Julia/Dyad
In this workshop, we will present the latest information about Dyad, our platform for modeling and simulation. We will leverage the Dyad agent so participants can hit the ground running and explore all that the Dyad platform has to offer.
Included in the presentation will be how to build graphical models from within VS Code. Discussions about best practices for using Dyad. Demonstrating how the Dyad agent flattens the learning curve and how it extends not just to modeling and simulation but assisting users with fully leveraging the incredible Julia ecosystem as well.
Participants should come prepared with some tasks to give the agent so they can see how much progress they can make in a short amount of time.
Presenter: Michael Tiller (JuliaHub)
Modeling HVAC and Control Systems with the Modelica Buildings Library
This workshop introduces modeling for HVAC and control systems for buildings, districts, and data centers using the Modelica Buildings Library. While focused on these applications, the course is structured to benefit modelers of any thermo-fluid system. Following an overview of the library’s scope, we will cover best practices for model configuration and troubleshooting. Through hands-on exercises, participants will develop simple HVAC system models, connect them to thermal loads, and implement feedback control. The instructors will demonstrate using OpenModelica, though participants are welcome to use Modelon Impact or Dassault Systemes’ Dymola.
Presenters: Michael Wetter (LBNL), David Blum (LBNL), Ettore Zanetti (LBNL)
Hands-On with Rumoca: Modelica Source, Simulation, and Algebraic Backends in VS Code
This two-hour hands-on tutorial introduces Rumoca, an open-source, Rust-native Modelica compiler, and its VS Code development environment. Participants will follow a guided workflow from Modelica source through editing, diagnostics, compilation, simulation, visualization, and export to algebraic and numerical backends.
Using curated example models, attendees will edit code, inspect diagnostics, run simulations, view results in the editor, and, where applicable, interact with an editable 3D view. From the same model, they will generate backend artifacts for CasADi, SymPy, JAX, and FMI-oriented workflows, then load representative outputs into Python or Jupyter to inspect equations and evaluate generated functions.
The tutorial demonstrates a modern Modelica workflow in which one model serves as a reusable algebraic specification for simulation, optimization, automatic differentiation, machine learning, and model exchange. No prior Rumoca experience is required; basic Modelica, VS Code, and Python familiarity is helpful.
Presenters: James Goppert and Micah Condie (Purdue University)
Physics + AI in Practice: Accelerating Modelica Workflows with Modelon Impact
AI assistants are becoming common in engineering software, but their value depends on whether they can support the physics-based work engineers actually need to do. In this hands-on workshop, participants will explore how AI-assisted development in Modelon Impact can help reduce workflow friction while keeping engineers in control of the modeling, simulation, and validation process.
Using Modelon Impact, we will build and analyze an industry-relevant system model, progressing from component selection and model assembly through simulation setup, troubleshooting, and interpretation of results. Along the way, participants will see how the AI assistant supports common engineering tasks: surfacing relevant documentation, guiding model development, helping configure experiments, diagnosing errors and logs, and making results easier to understand.
The session will also provide a practical introduction to Modelon Impact’s cloud-based workflows and validated, robust Modelica library content. Participants will leave with a clearer understanding of what “Physics + AI” means in practice: AI that accelerates modeling work while preserving the transparency, reusability, and trust expected from physics-based simulation.
Presenters: Mathias Strandberg (Product Manager, Modelon), Pratyush Agarwal (Solutions Engineer, Modelon)
Scope of the Conference
Modelica is a freely available, equation-based, object-oriented language for convenient and efficient modeling of complex, multi-domain cyber-physical systems described by ordinary differential, difference and algebraic equations. The Modelica language and the companion Modelica Standard Library have been utilized in a variety of demanding industrial applications, including full vehicle dynamics, power systems, robotics, buildings and district energy systems, hardware-in-the-loop simulations and embedded control systems. The Functional Mock-up Interface (FMI) is an open standard for the tool-independent exchange of models and for co-simulation. It is supported by many Modelica and non-Modelica tools and is the key to utilizing Modelica models in non-Modelica environments.
Development in the Modelica Association is organized in Modelica Association Projects:
- LANG - Modelica Language
- LIB - Modelica Libraries
- FMI - Functional Mock-up Interface
- eFMI - Functional Mock-up Interface for embedded systems
- SSP - System Structure and Parameterization of Components for Virtual System Design
- DCP - Distributed Co-Simulation Protocol
These projects collaborate to design and maintain a set of coordinated standards for modeling and simulation of complex physical systems.
The Modelica & FMI Conference will bring together people using Modelica and/or other Modelica Association standards for modeling, simulation, and control applications, such as Modelica language designers, tool vendors and library developers. The Modelica & FMI Conference provides Modelica users with the opportunity to stay informed about the latest language, library, and tool developments, and to get in touch with people working on similar modeling problems. The conference will cover topics such as the following:
- Multi-engineering modeling and simulation with Modelica or other equation-oriented modeling languages (mechanics, electrical, hydraulics, thermal, fluid, media, chemical, building, automotive, aircraft, …)
- Automotive applications
- Thermodynamic and energy systems applications
- Mechatronics and robotics applications
- Medicine and biology applications
- Other industrial applications, such as electric drives, power systems, aerospace, etc.
- Large-scale system modelling
- Real-time and hardware-in-the-loop simulation
- Simulation and code generation for embedded control systems
- Simulation acceleration by use of many CPU cores or GPU cores
- Applications of modeling techniques for optimization and optimal control
- Modeling, simulation and design tools
- Symbolic algorithms and numerical methods for model transformation and simulation
- Discrete modeling techniques − FEM, CFD, DEM (Discrete Element Method), …
- New features of the Modelica language and of FMI
- Experimental language designs and implementations
- Use of languages for teaching and education
- FMI applications and tools
- Applications and tools related to Modelica Association standards, including FMI, eFMI, SSP, and DCP
Call for papers, user presentations and tutorials
Please see the call for papers for details about paper submissions, and the calls for user presentations, both via submission on Easychair, tutorials, and vendor presentations. Please look at the author instructions before submitting. The submission deadlines are as follows:
- May 31, 2026 Submission of full papers on Easychair
- June 15, 2026 Submission of extended abstracts for presentation-only contributions, Extended Abstracts on Easychair
- June 15, 2026 Submission of workshop and tutorial abstracts
- July 20, 2026 Reviews for full paper submissions
- August 14, 2026 Notification of acceptance for papers and presentations
- September 4th, 2026 Submission of final papers and one-page abstracts
- October 7th, 2026 Submission of final presentations
Organization and Contact
The conference is organized by NAMUG in cooperation with the Modelica Association.
For general questions, please send an email to: modelicaNA2026@groups.liu.se
Conference Board
- Conference Co-Chair Dr. Michael Tiller, Juliahub
- Conference Co-Chair Dr. Hubertus Tummescheit, Model Based Innovation LLC
- Local Co-Chair Prof. Dimitri Mavris, Georgia Institute of Technology
- Program Chair Prof. Luigi Vanfretti, Rensselaer Polytechnic Insitute
- Program Chair Dr. Michael Wetter,Lawrence Berkeley National Laboratory
- Conference Excecutive Coordinator Dr. Christopher Laughman, Mitsubishi Electric Research Laboratories
- Behnam Afsharpoya, Dassault Systemes




