Results 51 to 60 of about 4,790 (193)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

ADMM-Based Low-Complexity Off-Grid Space-Time Adaptive Processing Methods

open access: yesIEEE Access, 2020
In this paper, we consider the problems of off-grid effects elimination and fast implementations for sparse recovery based space-time adaptive processing (SR-STAP) methods.
Zhongyue Li, Tong Wang
doaj   +1 more source

Endoplasmic Reticulum Geometry Dictates Neuronal Bursting via Calcium Store Refill Rates and Exposes Selective Neuronal Vulnerability

open access: yesAdvanced Science, EarlyView.
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi   +13 more
wiley   +1 more source

Radiometric Constraints on the Timing, Tempo, and Effects of Large Igneous Province Emplacement

open access: yesGeophysical Monograph Series, Page 27-82., 2021

Exploring the links between Large Igneous Provinces and dramatic environmental impact

An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Jennifer Kasbohm   +2 more
wiley  

+1 more source

Mechanochemistry Meets Catalysis: Metal Complexes for Greener Organic Transformations

open access: yesAngewandte Chemie, EarlyView.
Mechanochemistry is redefining metal catalysis by controlling catalyst formulation, speciation, and deployment. This Review shows how milling, LAG, RAM, and TSE enable rapid metal‐complex assembly, distinctive catalytic manifolds, and scalable synthesis beyond solution chemistry.
Sourav Behera   +2 more
wiley   +2 more sources

Fast and Gridless Sparse Recovery STAP Method Based on Nonconvex Relaxation of Atomic Norm

open access: yesLeida xuebao
Sparse Recovery-based Space-Time Adaptive Processing (SR-STAP) methods offer significant advantages in nonhomogeneous clutter environments owing to their minimal requirement for training samples.
Linfeng CUI   +3 more
doaj   +1 more source

Super-resolution method using sparse regularization for point-spread function recovery

open access: yes, 2015
International audienceIn large-scale spatial surveys, such as the forthcoming ESA Euclid mission, images may be undersampled due to the optical sensors sizes. Therefore, one may consider using a super-resolution (SR) method to recover aliased frequencies,
J. Amiaux   +9 more
core   +1 more source

Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain

open access: yesAdvanced Science, EarlyView.
In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun   +27 more
wiley   +1 more source

Knowledge Aided Covariance Matrix Estimation via Gaussian Kernel Function for Airborne SR-STAP

open access: yesIEEE Access, 2020
In practical airborne radar, the interference signals in training snapshots usually lead to inaccurate estimation of the clutter covariance matrix (CCM) in space-time adaptive processing (STAP), which seriously degrade radar performance and even occur ...
Mingxin Liu   +5 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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