Results 131 to 140 of about 88,044 (260)
Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan +3 more
wiley +1 more source
A holographic dual-channel interferometer [PDF]
A holographic, optics-based dual-channel interferometer with an in-built phase-shifting element is described. The interferometer can be used for testing two different phase objects simultaneously and independently.
Mahajan, C.G. +3 more
core
Numerical weather prediction over Indonesia is particularly challenging, because convection evolves rapidly and is modulated strongly by land–sea interactions across the maritime continent. To constrain forecasts better, there is substantial potential in assimilating all‐sky infrared observations, provided that the associated observation‐error ...
Miranti I. Hastuti +4 more
wiley +1 more source
Precise length etalon controlled by stabilized frequency comb
Šmíd R., Číp O., Lazar J.
doaj +1 more source
Aerosol Jet Printing (AJP), coupled with a novel in situ monitoring method, enabled the controlled fabrication of aligned and crumpled Ti3C2Tx MXenes for diverse applications. Demonstrated across multiple 2D materials, this scalable strategy stablishes flake morphology as a controllable design parameter for engineering application‐specific material ...
Javier Gutierrez‐Gonzalez +18 more
wiley +1 more source
Recyclable Printed Liquid Metal Composite for Underwater Stretchable Electronics
This work presents a multifunctional liquid metal (LM) microdroplet‐based composite with a custom‐designed block copolymer as the matrix, optimized for printing. The composite exhibits high conductivity, stretchability, durability in dry and aqueous environments, and recyclability of LM using green solvents. These properties highlight its potential for
Chi‐hyeong Kim +4 more
wiley +1 more source
ABSTRACT The detection of partial discharges (PD) on the power transformer tank demands higher sensitivity in ultrasonic detection. To target the detection frequency band for sensor optimisation and enhance sensitivity, this paper presents a dual‐frequency sensitivity model for optical fibre ultrasonic sensors.
Sihan Wang +4 more
wiley +1 more source
Advanced Sensing Materials and Their Applications for Power Sensors
ABSTRACT The construction of new‐generation power systems imposes stringent requirements on the safety and reliability of critical equipment, making accurate state perception essential for grid security and digital transformation. Sensing materials fundamentally determine sensor performance in terms of sensitivity, bandwidth, environmental adaptability
Weigen Chen +8 more
wiley +1 more source
Abstract Joint Brillouin–Raman micro‐spectroscopy (BRMS) enables simultaneous, non‐destructive characterisation of the mechanical and chemical properties of soft materials at the micrometre scale, combining GHz‐range viscoelastic information from acoustic modes with the vibrational fingerprint of molecular species.
Alessandra Anna Passeri +4 more
wiley +1 more source
Artefact‐aware Brillouin microscopy framework for root mechanical phenotyping
Abstract Plant roots continuously sense and respond to the mechanical signals of their growth environment: root cap function, mucilage secretion, and hormonal regulation jointly adapt root tip mechanics, shaping whether roots penetrate compacted layers or reorient around obstacles. Most current measurements of root mechanical properties require removal
Timm Landes +6 more
wiley +1 more source

