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Searching for Novel Chemistry in Exoplanetary Atmospheres Using Machine Learning for Anomaly Detection.

• Authors : Forestano, Roy T.¹ (AUTHOR) ; Matchev, Konstantin T.¹ (AUTHOR); Matcheva, Katia¹ (AUTHOR)

Subjects: *MACHINE learning; *RECEIVER operating characteristic curves; *SUPPORT vector machines

• Source: Astrophysical Journal. 12/1/2023, Vol. 958 Issue 2, p1-15. 15p.

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Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties.

• Authors : Fagin, Joshua; Park, Ji Won; Best, Henry

Subjects: QUASARS; STOCHASTIC differential equations; MACHINE learning

• Source: Astrophysical Journal; 4/20/2024, Vol. 965 Issue 2, p1-18, 18p

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Extending a Physics-informed Machine-learning Network for Superresolution Studies of Rayleigh–Bénard Convection.

• Authors : Salim, Diane M.; Burkhart, Blakesley; Sondak, David

Subjects: RAYLEIGH-Benard convection; CONVOLUTIONAL neural networks; MACHINE learning

• Source: Astrophysical Journal; 3/20/2024, Vol. 964 Issue 1, p1-11, 11p

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Real-time Likelihood Methods for Improved γ -Ray Transient Detection and Localization.

• Authors : Kerr, M.¹ (AUTHOR) ; Duvall, W.¹ (AUTHOR); Johnson, W. N.¹ (AUTHOR)

Subjects: *MACHINE learning; *GAMMA ray bursts; *COMPUTATIONAL complexity

• Source: Astrophysical Journal. 8/10/2023, Vol. 953 Issue 1, p1-14. 14p.

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Demonstration of machine-learning-enhanced Bayesian quantum state estimation.

• Authors : Lohani, Sanjaya¹ (AUTHOR) ; Lukens, Joseph M^2,3 (AUTHOR); Davis, Atiyya A¹ (AUTHOR)

Subjects: *QUANTUM states; *MACHINE learning; *QUANTUM information science

• Source: New Journal of Physics. Aug2023, Vol. 25 Issue 8, p1-11. 11p.

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Identification of Extended Emission Gamma-Ray Burst Candidates Using Machine Learning.

• Authors : Garcia-Cifuentes, K.¹ (AUTHOR) ; Becerra, R. L.¹ (AUTHOR); De Colle, F.¹ (AUTHOR)

Subjects: *GAMMA ray bursts; *MACHINE learning; *ENERGY bands

• Source: Astrophysical Journal. 7/1/2023, Vol. 951 Issue 1, p1-10. 10p.

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Using Dark Energy Explorers and Machine Learning to Enhance the Hobby–Eberly Telescope Dark Energy Experiment.

• Authors : House, Lindsay R.¹ (AUTHOR) ; Gebhardt, Karl¹ (AUTHOR); Finkelstein, Keely¹ (AUTHOR)

Subjects: *DARK energy; *MACHINE learning; *TELESCOPES

• Source: Astrophysical Journal. 6/20/2023, Vol. 950 Issue 2, p1-11. 11p.

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Asteroseismology Applied to Constrain Structure Parameters of δ Scuti Stars.

• Authors : Panda, Subrata Kumar; Dhanpal, Siddharth; Murphy, Simon J.

Subjects: ASTEROSEISMOLOGY; STELLAR oscillations; STELLAR structureKEPLER, Johannes, 1571-1630

• Source: Astrophysical Journal; 1/10/2024, Vol. 960 Issue 2, p1-13, 13p

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TECH HIGHLIGHTS.

Subjects: MACHINE learning; OXIDE electrodes; PYTHON programming language

• Source: Interface. Mar2024, Vol. 33 Issue 1, p40-40. 1p.

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Estimation of fission barrier heights for even–even superheavy nuclei using machine learning approaches.

• Authors : Yesilkanat, Cafer Mert¹ (AUTHOR); Akkoyun, Serkan² (AUTHOR)

Subjects: *MACHINE learning; *RANDOM forest algorithms; *ATOMIC number

• Source: Journal of Physics G: Nuclear & Particle Physics. 5/1/2023, Vol. 50 Issue 5, p1-21. 21p.

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