Improving reduced-order models through nonlinear decoding of projection-dependent outputs
2023 · Patterns · 7 citations
https://doi.org/10.1016/j.patter.2023.100859
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Kamila Zdybał
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5
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Kamila Zdybał is an academic researcher from Fund for Scientific Research. The author has contributed to research in topics: Model Reduction and Neural Networks & Advanced Combustion Engine Technologies & Combustion and flame dynamics. The author has an h-index of 7, co-authored 15 publications.
ORCID: 0000-0002-3952-3824Papers by this author
worksPCAfold 2.0—Novel tools and algorithms for low-dimensional manifold assessment and optimization
2023 · SoftwareX · 6 citations
https://doi.org/10.1016/j.softx.2023.101447
Optimizing progress variables for ammonia/hydrogen combustion using encoding–decoding networks
2025 · Combustion and Flame · 2 citations
https://doi.org/10.1016/j.combustflame.2025.114152
Reduced-Order Modeling of Reacting Flows Using Data-Driven Approaches
2023 · Lecture notes in energy · 1 citations
https://doi.org/10.1007/978-3-031-16248-0_9
pykitPIV: A framework for flexible and reproducible virtual training of machine learning models in optical velocimetry
2025 · SoftwareX · 1 citations
https://doi.org/10.1016/j.softx.2025.102356
Progress variable optimization: Effects on the manifold topology and reduced-order modeling
2026 · Zenodo (CERN European Organization for Nuclear Research) · 0 citations
https://doi.org/10.5281/zenodo.18743453
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