Results 201 to 210 of about 750,702 (276)

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li   +3 more
wiley   +1 more source

Shear‐Thinning Rheology Reshapes Hydrodynamic Dispersion in Heterogeneous Fractures

open access: yesWater Resources Research, Volume 62, Issue 10, October 2026.
Abstract Hydrodynamic dispersion of shear‐thinning fluid in fractured rocks is jointly governed by fracture heterogeneity and fluid rheology, yet the way aperture correlation length alters dispersion mechanisms remains unclear. Here, we carry out pore‐scale lattice Boltzmann simulations to investigate fluid flow and solute transport in heterogeneous ...
Chengkai Wang   +3 more
wiley   +1 more source

Structural and Functional Characterisation of a Metagenome‐Derived CYP108D18 Reveals an Unusual Dioxygen‐Bound State and Selective Hydrocarbon Hydroxylation

open access: yesMicrobial Biotechnology, Volume 19, Issue 10, October 2026.
CYP108D18, identified from a hot spring metagenome, catalyses selective phenylcyclohexane hydroxylation. This P450 has an exceptionally low substrate‐bound heme redox potential. Crystal structures revealed an unusual dioxygen‐bound substrate‐free form and a persistent open active site upon substrate binding.
Simran Kundral   +10 more
wiley   +1 more source

Temperature gradient map of the Hakkoda geothermal area.

open access: yesJournal of the Geothermal Research Society of Japan, 1988
OKUBO, Yasukuni, MURAOKA, Hirofumi
openaire   +1 more source

1D Basin Modelling of Upper Jurassic to Upper Cretaceous Source Rocks in the Southern Pletmos Sub‐Basin, Outeniqua Basin, Offshore South Africa

open access: yesJournal of Petroleum Geology, Volume 49, Issue 4, Page 1382-1411, October 2026.
ABSTRACT The Pletmos sub‐basin in the Outeniqua Basin, offshore South Africa, is divided by the Superior, Pletmos and Plettenberg faults into northern and southern depocentres. In this study, geological and organic geochemical data together with 1D basin modelling were used to investigate the burial, thermal and maturation histories, and the timing of ...
Fritz Ako Agbor   +4 more
wiley   +1 more source

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