Planned topic
Can PhysicsNeMo accelerate your CFD workflow?
Where PhysicsNeMo workflows fit relative to conventional CFD, and how to judge whether acceleration is realistic for a given class of analyses.
Insights
Planned topic
Where PhysicsNeMo workflows fit relative to conventional CFD, and how to judge whether acceleration is realistic for a given class of analyses.
Planned topic
How geometry-aware, mesh-graph and transformer-based approaches differ, and which physical problems suit each.
Planned topic
Design-space coverage, solver consistency, held-out cases, and the practical data readiness questions that precede training.
Planned topic
Turning accumulated solver output into reproducible datasets, preprocessing meshes and geometry, and structuring training runs.
Planned topic
Signals that a workflow should be optimized, parallelized or re-meshed rather than approximated with a learned model.
Planned topic
Error distributions, out-of-distribution behaviour, and acceptance criteria defined in engineering rather than ML terms.
Planned topic
Containers, CUDA environments, GPU scheduling, batching, and the operational concerns of serving Physics AI models.
Planned topic
APIs, scientific visualization and interface design that let engineers actually use a fast predictive model.
Planned topic
Orchestrating deterministic solvers and validated models through language-model interfaces while keeping results traceable.
If one of these questions is live for your team right now, it is usually faster to discuss it directly than to wait for the write-up.
In the meantime
Bring the simulation bottleneck, the dataset, or the technical question you are trying to answer.