Results 131 to 140 of about 3,699 (198)
Prospects for detecting signs of life on exoplanets in the JWST era. [PDF]
Seager S +4 more
europepmc +1 more source
Investigating Layered Cratonic Lithosphere in the Fennoscandian Shield
Abstract Cold, thick, and chemically depleted lithosphere with high seismic velocity and low attenuation characterizes continental cratons. However, discrepancies between xenolith‐based thermal constraints and those inferred from surface‐wave seismic models, together with the widespread observation of mid‐lithosphere discontinuities, challenge the ...
Yiran Huang +2 more
wiley +1 more source
Gas detection-assisted deep-space and deep-sea exploration. [PDF]
Wang Q, Cao N, Hu M, Li X, Kan R.
europepmc +1 more source
Abstract A better understanding of how trace element partition coefficients vary with melt and mineral composition, temperature, pressure, oxygen fugacity and fluid composition is essential to geochemical modeling of magmatic rocks. The Nernst partition coefficient D is the ratio of the concentration (by weight) of a trace element in a solid phase ...
Jean H. Bédard
wiley +1 more source
Polymorphism of carbonic acid (H<sub>2</sub>CO<sub>3</sub>) at low pressures. [PDF]
Spahr D +10 more
europepmc +1 more source
Abstract This commentary concerns a two‐part paper by Regenauer‐Lieb et al. (2026a, 2026b) on pattern formation in deforming porous rocks. The theory developed in part I (https://doi.org/10.1029/2025GC012710) uses the general idea of Turing's reaction‐diffusion model of morphogenesis based on interactions between two types of diffusible chemical ...
Jibamitra Ganguly
wiley +1 more source
Exploring the extremes: The cosmic laboratory. [PDF]
Huang Y, He S, Ge L, Li Z, Mao Y, Liu J.
europepmc +1 more source
Evolution and Observable Properties of Rocky Planet Atmospheres. [PDF]
Steinmeyer ML +11 more
europepmc +1 more source
U‐Net Based Machine Learning for Identification of Auroras in Space‐Based Images
Abstract We use a Semantic Segmentation based U‐Net model to predict the appearance of various classifications of aurora present in near‐infrared images from the Fast Auroral Imager (FAI) onboard the CASSIOPE satellite. We manually labeled pixels from a set of 4091 FAI near‐infrared images into 7 different classes: no aurora, contaminated, diffuse ...
Amit Kain +4 more
wiley +1 more source
Exo-Geoscience Perspectives Beyond Habitability. [PDF]
Spohn T +7 more
europepmc +1 more source

