Custom PDE

2D Poisson PINN with Adjustable Boundaries

Adjust the left and right boundary values on a unit square, predict the 2D scalar field, and compare every point with the analytic solution for the submitted conditions.

Published scope

The inputs, geometry and outputs below follow the registered public case. Published verification applies only to the stated conditions. Service availability requires a live request.

Conditional PINN

Left and right boundary values determine a scalar field on a two-dimensional square, with zero normal derivatives on the other boundaries.

Predict the two-dimensional scalar field for registered boundary values and compare each point with the current analytic solution.

Geometry
2D unit square
Geometry scope
same_geometry_only

Adjustable inputs

InputRangeDefault
Left boundary value0.5 – 1.5 model unit1.0
Right boundary value0.0 – 0.25 model unit0.125

Output fields

Registered verification

registered_status
passed
thresholds
max_relative_l2: 0.01; max_absolute_error: 0.01; max_boundary_error: 0.01; max_laplacian_rms: 0.1
summary
27 conditions passed the analytic field checks; every Web request is compared with its analytic solution.

Recorded workflow evidence

Project opening
PASS
Save and reopen
PASS
Training
NOT_RUN
Prediction
NOT_RUN
Independent accuracy
NOT_RUN
Portable validation
NOT_RUN

These are recorded checks; they do not establish live service availability or accuracy for every new request.

Open case workspaceAll cases