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A modular PyTorch framework for developing physics-informed neural network surrogate models for chemical process modeling, simulation, and process systems engineering.
pip install pinnse
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
pinnse publishes 1 wheel and 1 source archive for version 0.0.6. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .