Results 131 to 140 of about 107,081 (312)

Comparison of approaches for deep beam design [PDF]

open access: yes, 2007
In this work the design of deep reinforced concrete beam under constant line load, which is located at the upper side of the beam, is considered. A short survey of relevant literature is given. Several examples of deep beam design are presented.
Velkavrh, Blaž
core  

Liquid Phase Transmission Electron Microscopy: A Window into the Early Stages of Complex Material Formation

open access: yesAdvanced Functional Materials, EarlyView.
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum   +5 more
wiley   +1 more source

A high-resolution wide-angle seismic study of the crust beneath the Northumberland trough [PDF]

open access: yes, 1992
In June 1987, during the BIRPS MOBIL normal-incidence seismic profiling programme, off the East coast of England, the University of Durham recorded simultaneously at several land based seismic stations in Northern England.
West, Tracey Elizabeth
core  

Tests of reinforced concrete deep beams

open access: yes, 1983
Structural engineering report SER 109 | SER-ID ...
Rogowsky, David M.   +2 more
openaire   +2 more sources

Mechanical Behavior and Fracture Mechanisms of MXene/PVDF Nanocomponsites: In Situ Characterization and Multiscale Analysis

open access: yesAdvanced Functional Materials, EarlyView.
Multiscale experiments and modeling reveal how Ti3C2Tx MXene nanosheets reinforce PVDF nanocomposites. An optimal MXene loading (∼1 wt.%) nearly doubles tensile strength through efficient stress transfer, flake alignment, and crack‐deflection mechanisms, transforming ductile polymer behavior into a controlled multi‐stage fracture pathway which aligns ...
Bita Soltan Mohammadlou   +5 more
wiley   +1 more source

Deep learning based phase retrieval with complex beam shapes for beam shape correction [PDF]

open access: yes
Beam shaping in laser-based additive manufacturing can enhance printing speed and printed part properties. Complex beam shapes in the Fourier plane are produced by beam shaping systems by modulating the phase in the pupil plane with a phase mask. However,
Wudy, Katrin   +8 more
core   +1 more source

Oxygen‐Tunnel Indium Tin Oxide Vertical Channel Transistors with Enhanced Current Density and Reliability for Monolithic 3D Compute‐In‐Memory Systems

open access: yesAdvanced Functional Materials, EarlyView.
Oxygen‐tunnel (OT) indium tin oxide (ITO) vertical channel transistors (VCTs) enable reliable, high‐density gain‐cell memory for monolithic 3D integration. A sandwiched SiN/SiO2/SiN OT stack selectively regulates oxygen transport, suppressing parasitic electrode oxidation while stabilizing channel oxygen vacancies, thereby suppressing carrier injection
Hyeonho Gu   +17 more
wiley   +1 more source

On the Buckling of Deep Beams.

open access: yesOn the Buckling of Deep Beams.
種別 ...
openaire  

X‐Functionality–Driven Photocatalytic Hydrogen Evolution in 2D 4‐X‐PEA2SnI4 Perovskites

open access: yesAdvanced Functional Materials, EarlyView.
We report a water‐based synthesis of 2D 4‐X‐PEA2SnI4 perovskite microcrystals with prominent photocatalytic (PC) activity for H2 production. The synergy between organic functionalization and HI‐derived iodide scavenges holes suppress octahedral distortion, and favor electron accumulation, enabling a PC H2 evolution ∼20 µmol·g−1 and long‐term stability ...
Taeyeon Kim   +21 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

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