Results 221 to 230 of about 8,079,144 (302)

Modeling and monitoring injectivity evolution during cold CO2 injection with field evidence from aquistore carbon capture and storage operations

open access: yesDeep Underground Science and Engineering, EarlyView.
This work integrates 5 years of field data from the Aquistore CCS project with a non‐isothermal THM modeling framework to explain how cold CO2 injection alters injectivity over time. The study shows that sustained cooling near the wellbore reduces effective stresses, promotes tensile micro‑cracking, and leads to semi‑reversible permeability enhancement
Alireza Rangriz Shokri   +3 more
wiley   +1 more source

A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

open access: yesEcoEnergy, EarlyView.
An overview of grain boundary engineering in the field of electrocatalysis. ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO2RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs)
Jingyu Gao   +8 more
wiley   +1 more source

<i>H</i>-linear magnetoresistance in NbSe<sub>2</sub> due to impeded cyclotron motion. [PDF]

open access: yesSci Adv
Kool A   +7 more
europepmc   +1 more source

Thermal niche breadth shapes regional elevational range sizes of tropical‐like mountain stream insects: evidence for Janzen's tropical mountain passes hypothesis

open access: yesEcography, EarlyView.
The core of Janzen's tropical mountain passes hypothesis is that relatively stable annual temperature variation limits species' thermal tolerances breadth, which, in combination with steep elevational temperature gradients, constrains the elevational distributions of these species. In addition to thermal niche breadth, elevational ranges were shaped by
Tingting Zhou   +9 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

Seismic Fragility of Gravity and Semi‐Gravity Retaining Walls and Its Impact on the Functionality Loss of Road Infrastructures

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Retaining walls are key geotechnical components of road infrastructure, whose seismic performance directly affects the resilience of transportation networks. Despite their importance, seismic fragility models for retaining walls available in the literature refer only to specific case studies.
Amendola C., Conti R., de Silva F.
wiley   +1 more source

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

open access: yesEnergy Science &Engineering, EarlyView.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat   +2 more
wiley   +1 more source

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