Upload MPHGNet v4.1 model + weights

README.md

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+---
+language: en
+tags:
+  - physics
+  - materials-science
+  - graph-neural-network
+  - equivariant
+license: mit
+---
+
+# MPHGNet v4.1
+
+Multi-Physics Hierarchical Graph Network (MPHGNet) v4.1 for grain-boundary energy, 
+forces, stress and multi-fidelity materials property prediction.
+
+## Model Description
+- Equivariant physics backbone with e3nn irreps
+- Multi-physics channels: local density, gradient flow, interaction energy, 
+  global context, structural stability, Hilbert-space coherence, defect, diffusion, phonon
+- Hebbian STDP plasticity module
+- Triplet + quadruplet physics message passing
+
+## Usage
+```python
+from huggingface_hub import hf_hub_download
+import torch, importlib.util, sys
+
+path = hf_hub_download(repo_id="harinag0204/MPHGNet-v41", filename="mphgnet_v41.py")
+spec = importlib.util.spec_from_file_location("mphgnet_v41", path)
+mph  = importlib.util.module_from_spec(spec); spec.loader.exec_module(mph)
+
+model = mph.EquivariantPhysicsBackboneV41(num_layers=1).to(mph.device)
+weights = hf_hub_download(repo_id="harinag0204/MPHGNet-v41", filename="model_weights.pt")
+model.load_state_dict(torch.load(weights, map_location=mph.device))
+model.eval()
+```

model_weights.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:edc2ce0ce7ba0e6994c31b50ea1ceaf2e70430a45d0ee7c7985a7c13f3e553d3
+size 21275335