PHYGRAV delivers integrated simulations, surrogate apps, and decision-ready products for landslides, avalanches, tsunamis, and hydro-sedimentary events. The platform merges advanced physics, digital twins, and uncertainty-aware workflows for partners across research, agencies, and operators.
AI-enhanced surrogates accelerate hazard scenarios and keep decision workflows responsive while preserving physics-grounded reliability.
Machine-learned surrogates cut runtime for landslide and tsunami chains.
AI pipelines turn simulations into alerts, dashboards, and actionable briefings.
Standardized exports (netCDF, maps, indicators) derived from surrogate training runs.
Access ready-to-run surrogates and deeper simulation stacks for bespoke studies. Each
service has a dedicated workspace under Apps/ or Simuls/.
Pre-trained surrogate services for rapid what-if exploration and decision workflows.
Operational surrogate delivering fast landslide-tsunami scenarios; tuned for Mayotte.
Precomputed mass-drop simulations over complex topography; supports seismic add-ons.
Full-physics simulation stacks and reference outputs that feed and validate surrogates.
Physics-rich granular flow runs (model: Shaltop2d) feeding surrogates and reference products.
Numerical tsunami propagation and coastal impact studies using HySEA.
Hydro-turbidity river scenarios and sediment response; built for mountain catchments.
Governance for scientific quality, operations, and external engagement.
Steers roadmap, partnerships, and validation of scientific deliverables.
Anne Mangeney · Anne Le Friant
Lead on hazard physics, tsunami modeling, and research integration.
Cléa Lumina Denamiel · Alexis Marboeuf · Antoine Lucas
Day-to-day service delivery, releases, and user onboarding.
Kate Allstadt · François Bouchut · Cléa Lumina Denamiel · Anne Le Friant · Johan Gaume · Gilles Grandjean · Clément Hibert · Jiahui Kang · Clara Levy · Antoine Lucas · Anne Mangeney · Alexis Marboeuf · Marc Peruzzetto
Develops, maintains, and reviews models.