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Dynamical Tides in Neutron Stars with First-Order Phase Transitions: The Role of the Discontinuity Mode
Jonas P. Pereira, Lucas Tonetto, Michał Bejger, J. Leszek Zdunik and Paweł Haensel Physical Review Letters 135(23) (2025) https://doi.org/10.1103/k7l9-hw8g
Deep learning inference of the neutron star equation of state
Constraints on QCD-based equation of state of quark stars from neutron star maximum mass, radius, and tidal deformability observations
João V. Zastrow, Jonas P. Pereira, Rafael C. R. de Lima and Jorge E. Horvath Physical Review D 112(8) (2025) https://doi.org/10.1103/254t-zjzk
Leveraging differentiable programming in the inverse problem of neutron stars
Thibeau Wouters, Peter T. H. Pang, Hauke Koehn, Henrik Rose, Rahul Somasundaram, Ingo Tews, Tim Dietrich and Chris Van Den Broeck Physical Review D 112(4) (2025) https://doi.org/10.1103/v2y8-kxvx
Dense matter in neutron stars with eXTP
Ang Li, Anna L. Watts, Guobao Zhang, Sebastien Guillot, Yanjun Xu, Andrea Santangelo, Silvia Zane, Hua Feng, Shuang-Nan Zhang, Mingyu Ge, Liqiang Qi, Tuomo Salmi, Bas Dorsman, Zhiqiang Miao, Zhonghao Tu, Yuri Cavecchi, Xia Zhou, Xiaoping Zheng, Weihua Wang, Quan Cheng, Xuezhi Liu, Yining Wei, Wei Wang, Yujing Xu, Shanshan Weng, et al. Science China Physics, Mechanics & Astronomy 68(11) (2025) https://doi.org/10.1007/s11433-025-2761-4
Conditional variational autoencoder inference of neutron star equation of state from astrophysical observations
Universal description of a neutron star’s surface and its key global properties: A machine learning approach for nonrotating and rapidly rotating stellar models
Neural network representations of multiphase Equations of State
George A. Kevrekidis, Daniel A. Serino, M. Alexander R. Kaltenborn, J. Tinka Gammel, Joshua W. Burby and Marc L. Klasky Scientific Reports 14(1) (2024) https://doi.org/10.1038/s41598-024-81445-4
Detecting hyperons in neutron stars: A machine learning approach
Neural simulation-based inference of the neutron star equation of state directly from telescope spectra
Len Brandes, Chirag Modi, Aishik Ghosh, Delaney Farrell, Lee Lindblom, Lukas Heinrich, Andrew W. Steiner, Fridolin Weber and Daniel Whiteson Journal of Cosmology and Astroparticle Physics 2024(09) 009 (2024) https://doi.org/10.1088/1475-7516/2024/09/009
Mass and tidal parameter extraction from gravitational waves of binary neutron stars mergers using deep learning
Machine-learning Love: classifying the equation of state of neutron stars with transformers
Gonçalo Gonçalves, Márcio Ferreira, João Aveiro, Antonio Onofre, Felipe F. Freitas, Constança Providência and José A. Font Journal of Cosmology and Astroparticle Physics 2023(12) 001 (2023) https://doi.org/10.1088/1475-7516/2023/12/001
Deducing neutron star equation of state from telescope spectra with machine-learning-derived likelihoods
Delaney Farrell, Pierre Baldi, Jordan Ott, Aishik Ghosh, Andrew W. Steiner, Atharva Kavitkar, Lee Lindblom, Daniel Whiteson and Fridolin Weber Journal of Cosmology and Astroparticle Physics 2023(12) 022 (2023) https://doi.org/10.1088/1475-7516/2023/12/022
Decoding neutron star observations: Revealing composition through Bayesian neural networks
Probing Elastic Quark Phases in Hybrid Stars with Radius Measurements
Jonas P. Pereira, Michał Bejger, Lucas Tonetto, Germán Lugones, Paweł Haensel, Julian Leszek Zdunik and Magdalena Sieniawska The Astrophysical Journal 910(2) 145 (2021) https://doi.org/10.3847/1538-4357/abe633
Extensive studies of the neutron star equation of state from the deep learning inference with the observational data augmentation
Tidal deformability of strange stars and the GW170817 event
Odilon Lourenço, César H. Lenzi, Mariana Dutra, Efrain J. Ferrer, Vivian de la Incera, Laura Paulucci and J. E. Horvath Physical Review D 103(10) (2021) https://doi.org/10.1103/PhysRevD.103.103010
Analyzing the Galactic Pulsar Distribution with Machine Learning