Repo which includes info about data sets used in a paper developed by some members of the OASYS group
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Updated
Apr 14, 2023 - Python
Repo which includes info about data sets used in a paper developed by some members of the OASYS group
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Hybrid neural-numerical warm-start correction framework for Colebrook-White pipe-flow equations with Newton refinement.
Event-driven Python project for dynamic resource allocation and scheduling using Genetic Algorithms and Differential Evolution, with warm-start recovery, constraint handling, Kafka-based events, and benchmark analysis.
Mesh-native graph surrogates for TCAD (ICCAD 2026): a GNN predicts drift-diffusion fields on the Sentaurus mesh and warm-starts the simulator (warm digital twin)
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