Results 81 to 90 of about 162,391 (264)

Birds Carrying Birds

open access: yesEmu - Austral Ornithology, 1928
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
openaire   +2 more sources

Chiral‐Induced Spin Selectivity Effect in a 1 nm Thin 1,1′‐Binaphthyl‐2,2′‐diyl Hydrogenphosphate Self‐Assembled Monolayer on Nickel Oxide

open access: yesAdvanced Science, EarlyView.
A self‐assembled monolayer (≈0.9 nm) of an axially chiral binaphthol phosphoric acid derivative on a ferromagnetic Ni/NiOx substrate shows chiral‐induced spin selectivity (CISS) magnetoresistance of 50%–80%. This thermally and chemically robust functional stack shows the way towards practical spintronic devices based on the CISS effect.
Abin Nas Nalakath   +8 more
wiley   +1 more source

Molecularly Engineered Wing‐Shaped Azobenzene Memristors for Logic‐in‐Memory and Edge Visual Intelligence

open access: yesAdvanced Science, EarlyView.
Rational engineering of terminal substituents in symmetric azobenzene‐based molecules enables precise control over conformationally coupled charge‐transfer processes. This design yields tunable nonvolatile resistive memory behaviors, ranging from write‐once‐read‐many‐times (WORM) to rewritable switching.
Yanze Liu   +11 more
wiley   +1 more source

Slc44a2 Deficiency Unveils an IFN‐I–Dependent Feedback Control of pDC Egress

open access: yesAdvanced Science, EarlyView.
Working model of SLC44A2‐mediated maintenance of pDC homeostasis. This model illustrates two central mechanisms by which SLC44A2 regulates pDC homeostasis: (1) SLC44A2 limits IFN‐I production by exporting amino acids (T, N, Q), thereby preventing spontaneous pDC activation.
Ruiqun Chen   +11 more
wiley   +1 more source

Sprawozdanie z międzynarodowej konferencji pn. „Antitrust Private Enforcement: Lessons for Poland”, Warszawa, 30 maja 2023 roku [PDF]

open access: yesinternetowy Kwartalnik Antymonopolowy i Regulacyjny, 2023
Szymon Gołębiowski, Marcin Alberski
doaj  

Linked dynamic abundance models as the basis for a full‐annual‐cycle, integrated population model

open access: yesEcosphere
Understanding distinct vital rates (birth, death, immigration, and emigration) is a common goal in studies of ecological populations because separately estimating these rates and their drivers allows better prediction of population growth in unsurveyed ...
Bryan L. Nuse   +2 more
doaj   +1 more source

A Dual‐Memory Ferroelectric Transistor Emulating Synaptic Metaplasticity for High‐Speed Reservoir Computing

open access: yesAdvanced Electronic Materials, EarlyView.
A CMOS‐compatible ferroelectric transistor harnesses the interplay between stable gate polarization memory and volatile non‐quasi‐static channel charge dynamics to emulate how biological synapses regulate their own plasticity. This brain‐inspired dual‐memory mechanism, realized in a single device, enables a physical reservoir computer that solves ...
Yifan Wang   +8 more
wiley   +1 more source

Silicon Nitride Resistive Memories

open access: yesAdvanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis   +7 more
wiley   +1 more source

Physics‐Based Compact Modeling of Advanced 3D Nanoscale Vertical NAND Flash Memory

open access: yesAdvanced Electronic Materials, EarlyView.
For advanced 3D NAND flash memory, a unified compact model for SPICE is proposed that spans from the intrinsic unit cell to the full string and captures the electrostatic coupling with adjacent inhibit strings. It can successfully predict read behavior, program/erase dynamics, and interactions between neighboring cells, reflecting array‐level behavior ...
Ilho Myeong, Seonho Shin, Ickhyun Song
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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