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Irregularly Sampled Time Series Interpolation for Binary Evolution Simulations Using Dynamic Time Warping
A novel track alignment and interpolation framework for binary stellar evolution using Dynamic Time Warping (DTW) to preserve physical consistency.
Ugur Demir, Philipp M Srivastava, Aggelos Katsaggelos, Vicky Kalogera, Santiago L Tapia, Manuel Ballester, Shamal Lalvani, Patrick Koller, Jeff J Andrews, Seth Gossage, Max M Briel, Elizabeth Teng
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Irregularly Sampled Time Series Interpolation for Binary Evolution Simulations Using Dynamic Time Warping
Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks
A self-supervised Physics-Informed Neural Network (PINN) framework for solving stellar structure equations as a mesh-free alternative to traditional solvers like MESA.
Manuel Ballester, Santiago Lopez-Tapia, Seth Gossage, Patrick Koller, Philipp M Srivastava, Ugur Demir, Yongseok Jo, Almudena P Marquez, Christoph Wuersch, Souvik Chakraborty, Vicky Kalogera, Aggelos Katsaggelos
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Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks