Reproducible hybrid mGFD-machine-learning defect correction for two-dimensional reactive contaminant transport, with trained PyTorch models, held-out validation, and an irregular-geometry audit.
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Updated
Sep 2, 2026 - Python
Reproducible hybrid mGFD-machine-learning defect correction for two-dimensional reactive contaminant transport, with trained PyTorch models, held-out validation, and an irregular-geometry audit.
Reproducible numerical validation of ADR1D-ML and ADR1D-NN using a locked analytical challenge set, a finite-volume reference, persisted evidence, and a DOI-ready technical report.
Bilingual web application for exploring validated one-dimensional reactive-transport simulations and comparing analytical, finite-volume, and neural solutions.
Precision-preserving optimized inference for one-dimensional reactive contaminant transport, with validated ADR1D-ML-Compact and ADR1D-NN-Fast models and reproducible Python workflows.
Reproducible causal machine-learning system for one-hour early warning of downstream contaminant arrival using synthetic ADR1D sensor histories.
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