Method

JAX-FEM differentiable finite elements

JAX-FEM authors · v1.0.0

provenance_verified author_implementation paid_per_execution published

What it does

GPU-accelerated differentiable FEM in JAX for inverse design and PDE-constrained optimisation.

When to use it

GPU-accelerated differentiable FEM in JAX for inverse design and PDE-constrained optimisation.

Implementation provenance

This MCP is labelled author_implementation. Tools bind to author repository code.

Paper(s)

No papers linked.

Code: https://github.com/deepmodeling/jax-fem

Licence: See upstream repository

Available MCP tools

`run`

Invoke JAX-FEM differentiable finite elements (catalog entry — wire author MCP or Paper2MCP for full tools)

Provenance: author_provided · jax_fem:run

{
  "properties": {
    "problem": {
      "type": "string"
    }
  },
  "type": "object"
}

Example invocation

curl -s -X POST http://127.0.0.1:8765/api/v1/methods/jax_fem/execute \
  -H 'Content-Type: application/json' \
  -d '{"tool_name":"run","arguments":{}}'

Validation evidence

provenance_verified: claimed — Upstream repository linked and catalogued. Not execution-verified until MCP tools pass tests.

Price · usage · pay

Current version: jax_fem@1.0.0

Price: $0.1200 / execution

Executions: 0 · Creator earnings: $0.00

Citation

JAX-FEM authors. JAX-FEM differentiable finite elements (v1.0.0). LemmaMCP method `jax_fem`. Implementation: author_implementation. Verification: provenance_verified.