Results 171 to 180 of about 18,971,872 (256)

Machine learning-enabled membership determination of open cluster AH03_J0748-26.9 using Gaia DR3 astrometry. [PDF]

Sci Rep
Badawy WA, Abdel Rahman HI.
europepmc   +1 more source

Mapping the Western Jezero Crater Rim From Orbit: Connections to Regional Geologic Units and Context for Exploration by the Mars 2020 Perseverance Rover

Journal of Geophysical Research: Planets, Volume 131, Issue 10, October 2026.
Abstract The Mars 2020 rover is currently traversing the western rim of Jezero, a Middle to Late Noachian‐aged crater formed by an impactor that struck the northwest edge of Isidis Planitia (hereafter referred to as the Isidis basin) on Mars. Previous studies suggest that pre‐Isidis basin and Noachian outcrops are preserved throughout this region ...
M. C. Deahn, B. Horgan, F. Calef III, J. Schroeder, K. M. Stack, N. R. Williams, S. Alwmark, C. C. Bedford, J. Bell, M. Bramble, E. Cloutis, L. Crumpler, T. Del Sesto, D. T. Flannery, B. Garczynski, E. Graser, S. Gwizd, L. Ives, L. Kah, A. Klidaras, C. Lesh, H. T. Manelski, L. E. Mayhew, C. Miller, M. Nachon, C. Quantin‐Nataf, N. Randazzo, E. Ravanis, P. Russell, J. I. Simon, J. R. C. Voigt   +30 more
wiley   +1 more source

Deep learning-enabled size estimation of comets indicates a more dynamic early solar system. [PDF]

Nat Commun
Zhao S, Shi X, Lei H, Hui MT, Shi J.
europepmc   +1 more source

Characterization of the Small‐Scale UV Contrasts at Low Latitudes of Venus as Seen by the UVI Camera Onboard Akatsuki

Journal of Geophysical Research: Planets, Volume 131, Issue 10, October 2026.
Abstract We characterize ultraviolet (UV) contrasts of Venus at the cloud top level, ∼70 km altitude, at low latitudes. We define the contrast as the albedo difference between bright and dark points at low latitudes of a single image. Our target is small‐scale contrast features, spanning 60–80 km, as seen in the reflected UV images acquired at 283 and ...
Hyeonju Kang, Yeon Joo Lee, Atsushi Yamazaki   +2 more
wiley   +1 more source

Propagating slow-mode shocks discovered in dynamical solar flare loops. [PDF]

Nat Commun
Ye J, Shen C, Raymond JC, Cai Q, Mei Z, Hu J, Chen Y, Li Y, Lin J.   +8 more
europepmc   +1 more source

Modeling the Redistribution of Dust Across the Martian Surface for Mars Years 24 to 36

Journal of Geophysical Research: Planets, Volume 131, Issue 10, October 2026.
Abstract Global Dust Events (GDEs) transport huge amounts of dust across the Martian atmosphere. GDEs occur only every few Mars Years (MYs), but the reasons behind this inter‐annual variability remain poorly understood. The question whether surface dust exhaustion and subsequent replenishment explain this variability remains open.
Demetrius Ramette, Lena Noack, Sebastian Walter, Kerstin Schepanski   +3 more
wiley   +1 more source

Prospective entry criteria for newly named acupoints: A conceptual framework. [PDF]

Integr Med Res
Lee IS, Chae Y.
europepmc   +1 more source

Mesoscale Modeling of Titan’s Shangri‐La Region: The Impact of Surface Properties on Winds

Journal of Geophysical Research: Planets, Volume 131, Issue 10, October 2026.
Abstract The knowledge of Titan’s near‐surface atmosphere is sparse. The Huygens descent probe measured winds, and the multiple dune field observations and possible dust storms suggest active near‐surface dynamics. The Dragonfly rotorcraft lander will fly close to the surface in the Shangri‐La region, near the Huygens landing site, where complex dune ...
Maxence Lefèvre, Léa E. Bonnefoy, Aymeric Spiga, Bruno de Batz de Trenquelléon, Sébastien Lebonnois, Alexander G. Hayes   +5 more
wiley   +1 more source

Detection of Zwan-Wolf effect in the ionosphere of Mars. [PDF]

Nat Commun
Fowler CM, Hanley KG, McFadden J, Mitchell D, Halekas J, Andersson L, Bark D, Ma Y, Chaston C, Sanchez-Cano B, Lester M, Brain D, Mazelle C, Espley J, Benna M, Jolitz R, Ramstad R, Curry S.   +17 more
europepmc   +1 more source

Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation‐Based Inference

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Bayesian inference methods such as Markov Chain Monte Carlo (MCMC) typically require repeated computations of the likelihood function, but in some scenarios, this is infeasible and alternative methods are needed. Simulation‐based inference methods address this problem by using machine learning to amortize computations.
L. M. Wolniewicz, P. Sadowski, C. Corti
wiley   +1 more source