CFD 2030 IC News & Events 2025

CFD Vision 2030 Year in Review 2025

Predictive Physics in the Aerodynamic Design Loop (at aerospaceamerica.aiaa.org)

AIAA Aviation, July

Aviation 2025 CFP

Technical Paper Sessions

Machine Learning and Quantum Computing for CFD Applications (CFD2030-01)

Date: Mon 21 Jul

Advances in Computing, Design and UQ Methodologies (CFD2030-02)

Date: Mon 21 Jul

Panel Session

Integrating Artificial Intelligence/Machine Learning and CFD (FD-08)

Date: Tue 22 Jul
Time: 9:30 - 11:00 am
Room: Summit 227

Artificial Intelligence and machine learning are revolutionizing many areas of engineering, including changing the way that CFD is performed. This session will have key leaders in the AI/ML and CFD domain identify progress and potential in this technology intersection. Specific areas that will be included are changes to CFD processes and user interfaces (including solution setup, meshing, convergence, and knowledge extraction), modeling (including turbulence modeling), and surrogate-model usage for optimization and database generation. This is intended to spur paper submission in a planned SciTech 2026 session.

Special Joint Sessions

Meet the Turbulence Measurers (GT-03/APA-09/AMT-01/CFD2030)

Date: Mon 21 Jul
Time: 1:00 - 3:00
Room: Alliance 214

This session will consist of a series of informal presentations made by Subject Matter Experts (SMEs) to outline the state-of-the-art of contemporary techniques for measuring off-the-surface flowfield data in a manner that may be understood by Turbulence Measurers (and others in the CFD stakeholder community, too). To help bound the material addressed, particular attention will be drawn toward the use of Particle Image Velocimetry (PIV) to characterise vortex-dominated flows. The presentations will be followed by facilitated interactive discussion. So, not quite a panel session - more of a mini-workshop.

Session Chair & Co-Chair: Steven Dunn (GTTC) & Robert Decker (APATC)
Facilitator: Nigel Taylor (MBDA)
Panelists: Mark Gragston (University of Tennessee Space Institute) & Pavlos Zachos (Cranfield University)

Meet the Turbulence Modelers (GT-08/AMT-17/AMT-02/CFD2030)

Date: Tue 22 Jul
Time: 1:00 - 3:00
Room: Summit 225

This session is a companion to Meet the Turbulence Measurers. According to Feynman, “Turbulence is the most important unsolved problem of classical physics.” How turbulence is modeled is a key aspect of many Computational Fluid Dynamics (CFD) processes: understanding how turbulence models should be used is central to the task of CFD validation. The language of turbulence modeling can become very mathematical, which can be a barrier toward its effective use. To help address this problem, this session will consist of a series of informal presentations made by Subject Matter Experts (SMEs) to outline the state-of-the-art for RANS in a manner that may be understood by Turbulence Measurers (and others in the CFD stakeholder community, too). These presentations will be followed by facilitated interactive discussion. So, not quite a panel session - more of a mini-workshop. As a taster, we plan to premiere “Fluid Dynamics for Virtual Molecules: An Engineering Guide to the Principles and Assumptions Underpinning Turbulence Modelling.”

Session Chair & Co-Chair: Steven Dunn (GTTC) & Robert Decker (APATC)
Facilitator: Nigel Taylor (MBDA)
Panelists: Brian Smith (Lockheed Martin) & Xiang Yang (Penn State University)

Turbulence Modeling and Measuring for CFD Validation (GT-14/APA-36/AMT-03/CFD2030)

Date: Thu 24 Jul
Time: 9:30 - 11:30
Room: Alliance 313

Description: A more conventional panel session, to complement the sessions held earlier in the Forum, this will bring together Subject Matter Experts (SME) from the Turbulence Modeling and Turbulence Measuring communities specifically to address the challenges posed by CFD validation. Attention will be drawn to the topics raised by both groups of SMEs, with a view towards developing balanced perspectives on topics including spatial and temporal resolution requirements (and limitations). The overarching intent will be to help establish a shared understanding of the challenges and opportunities, and in so doing, identify potential ways in which the computational and physical testing communities can work together to advance the state-of-the art of CFD validation.

Session Chair & Co-Chair: Steven Dunn (GTTC) & Robert Decker (APATC)
Facilitator: Nigel Taylor (MBDA)
Panelists: Brian Smith (Lockheed Martin), Xiang Yang (Penn State University), Mark Gragston (University of Tennessee Space Institute), & Pavlos Zachos (Cranfield University)


For more details see the full conference program at AIAA.org.

Call for Papers - Closed 21 Nov 2024

The CFD 2030 Vision report laid out a bold vision for future computational capabilities and their potential impact on aerospace engineering and design, and recommended the establishment of Grand Challenges (GCs) in four areas: Large Eddy Simulation (LES) of a powered aircraft configuration across the full flight envelope, off-design turbofan engine transient simulation, Multi-Disciplinary Analysis and Optimization (MDAO) of a highly-flexible advanced aircraft configuration, and probabilistic analysis of a powered space access configuration. Since 2021, four GCs have been developed and published in key technical areas: high-lift aerodynamics (AIAA Paper 2021-0955), full engine simulation (2021-0956), CFD-in-the-loop for space vehicle design (2021-0957), and hypersonics (2024-0683). Under the CFD 2030 topic, we are soliciting papers that address current efforts to advance CFD technology, to both highlight the current state-of-the-art and to help identify where technology advancements are needed to make significant progress towards achieving the GCs, in the following areas.


See all the details at AIAA.org.

Download this Call for Papers in PDF format for easy printing and sharing.

AIAA SciTech, January

Panel Sessions

Technical Paper Sessions

CFD2030-01: NASA's Revolutionary Computational Aerosciences

CFD2030-02: CFD2030 Challenges in Hypersonic Simulations I

CFD2030-03: Development of AI/ML for CFD Applications

CFD2030-05: Turbulence, Turbulence Modeling, Uncertainty Quantification and V&V

CFD2030-06: Large Scale Simulations and AI/ML Applications

MVCE-09/APA-60/CFD2030-07: Visualization and Knowledge Extraction of Large-Scale Data Sets

MVCE-10/APA-67/CFD2030-08: CFD on Large-Scale Meshes for Applied Aerodynamics I

Call for Papers - Closed 23 May 2024

The CFD2030 Vision report laid out a bold vision for future computational capabilities and their potential impact on aerospace engineering and design, and recommended the establishment of Grand Challenges (GCs) to drive CFD technology development. Since 2021, four GCs have been developed and published in key technical areas: high-lift aerodynamics (AIAA Paper 2021-0955), full engine simulation (2021-0956), CFD-in-the-loop for space vehicle design (2021-0957), and hypersonics (2024-0683). Under the CFD2030 topic, we are soliciting papers that address current efforts to advance CFD technology, to both highlight the current state-of-the-art and to help identify where technology advancements are needed to make significant progress towards achieving the GCs.