Results 41 to 50 of about 1,115 (120)
Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim +4 more
wiley +1 more source
Influence of Competitive C–P Segregation on Austenite Grain Growth in Iron Alloys
steel research international, Volume 97, Issue 3, Page 1432-1443, March 2026.This study investigates how carbon influences phosphorus‐induced solute drag effects during isothermal annealing of austenite grain growth in Fe–C–P alloys. Using in situ high‐temperature laser scanning confocal microscopy and density functional theory simulations, it demonstrates that carbon above a critical temperature significantly reduces P ...
Maximilian Kern +4 more
wiley +1 more source
Accelerated Knowledge Discovery: A Vision for NASA Science
Earth and Space Science, Volume 13, Issue 3, March 2026.Abstract This paper introduces the sixth paradigm of scientific discovery: accelerated knowledge discovery (AKD). This paradigm is defined by the full integration of artificial intelligence (AI) into the research workflow as a tool augmenting cognitive capabilities of human scientists.
Rahul Ramachandran +2 more
wiley +1 more source
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.Abstract High‐resolution climate simulations are valuable for understanding climate change impacts. This has motivated use of regional convection‐permitting climate models (CPMs), but these are very computationally expensive. We present a convection‐permitting model generative emulator (CPMGEM), to skilfully emulate precipitation simulations by a 2.2 ...
Henry Addison +4 more
wiley +1 more source
Deep Learning‐Based Urban Canopy Model for Complex Building Morphologies
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 3, March 2026.Abstract Deep learning offers new methodologies and tools for meteorological modeling, yet its application in urban canopy models remains nascent. This study develops an Urban Canopy Neural Network (UCNN), a deep learning‐based urban canopy model designed for complex building morphologies. When training the UCNN, the Town Energy Balance (TEB) model was
Xinjie Meng +6 more
wiley +1 more source
Physiological Reports, Volume 14, Issue 6, March 2026.Abstract The heart constantly adapts to acute hemodynamic load by increasing contractility and stretch‐induced compliance (SIC). The latter involves titin phosphorylation, notably by cGMP‐dependent protein kinase (PKG). Given that Ca2+/calmodulin‐dependent protein kinase II (CaMKII) also phosphorylates titin and is activated under acute stress via ...
André M. Leite‐Moreira +4 more
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.Abstract We deployed 30 temporary seismic stations around the source region of the 2024 Mw 7.5 Noto Peninsula earthquake to investigate the relationship between mainshock rupture and fault geometry. Using machine learning techniques, we detected and precisely located 46,252 aftershocks, revealing several fault planes corresponding to active faults ...
Hidenobu Takahashi +5 more
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.Abstract Frequency‐dependent seismic velocity variations (dv/v) provide depth‐resolved constraints on aquifer behavior under groundwater fluctuations. We analyze 17 years of dv/v time series from ambient noise interferometry in the Chiang Mai Basin, Thailand, and observe contrasting dv/v behavior below and above 1 Hz. By integrating GPS, meteorological,
C. Rattanavetchasit +3 more
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.Abstract The formation of wide, magma‐starved continent–ocean transition (COT) zones remains incompletely understood. We use 2‐D thermo‐mechanical numerical experiments, coupling hydrous mantle melting with parameterized crustal accretion, to explore controls on magmatic lag: the delay between continental crustal break‐up and steady oceanic crustal ...
Yuan Wang, Zhonglan Liu
wiley +1 more source
Seismic Waves Do Sense Fracture Connectivity: Experimental Validation
Geophysical Research Letters, Volume 53, Issue 4, 28 February 2026.Abstract Fracture connectivity is a key parameter controlling fluid flow throughout the Earth's crust. While some theoretical and numerical studies suggest that seismic waves are sensitive to fracture connectivity, an experimental validation of this critically important phenomenon was so far unavailable.
Yanbin He +9 more
wiley +1 more source