Results 151 to 160 of about 1,950,575 (284)

Machine Learning‐Assisted Development in Insulating Materials for High Voltage Applications

open access: yesHigh Voltage, EarlyView.
ABSTRACT The advancement of power systems imposes increasingly stringent performance requirements on insulating materials, making the development of high‐performance insulating materials a critical challenge in the field of electrical engineering. Traditional material development relies heavily on empirical trial‐and‐error approaches, which are time ...
Yichen Ran   +17 more
wiley   +1 more source

Design and implementation of a phasor measurement unit using a new measurement technique. [PDF]

open access: yesSci Rep
Mohamed SA   +5 more
europepmc   +1 more source

Frequency‐Aware Spatial‐Angular Gaussians for Efficient Global Illumination Precomputation and Real‐Time Rendering

open access: yesComputer Graphics Forum, EarlyView.
Abstract Precomputation and efficient approximate material models are well‐known approaches for achieving real‐time rendering with global illumination. Recent research in radiance fields and in particular 3D Gaussian Splatting has demonstrated the power of Gaussian primitives both to represent radiance and for fast optimization.
I. Shah, S. Lucas, G. Drettakis
wiley   +1 more source

Directional information flow in human frataxin defines allosteric pathways connecting the hydrophobic core to the iron‐binding ridge

open access: yesThe FEBS Journal, EarlyView.
Human frataxin deficiency causes Friedreich's ataxia, yet how iron‐binding events are communicated across the protein is unclear. Using transfer entropy analysis of molecular dynamics simulations, we identify buried hydrophobic core leucines (LEU136, LEU140) as the source of directional signaling toward the iron‐binding acidic ridge.
Kevser Kübra Kırboğa   +1 more
wiley   +1 more source

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

open access: yesJournal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran   +7 more
wiley   +1 more source

Coordination‐Encoded Microenvironments in Copper Cluster Metal–Organic Frameworks Govern CO2‐To‐Formate Selectivity Through Intermediate Binding Regulation

open access: yesAggregate, Volume 7, Issue 11, November 2026.
Coordination environments established during reticular assembly determine how reaction intermediates are stabilized on atomically precise copper cluster frameworks. Rather than maximizing undercoordinated sites, a coordinatively buffered multinuclear landscape maintains productive intermediate binding, promoting formate formation while suppressing ...
Riki Nakatani   +12 more
wiley   +1 more source

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