Results 81 to 90 of about 324,109 (282)
Here, SubNc single‐component organic photodiodes (SC‐OPDs) are investigated, which achieve highly competitive performance metrics, including high EQE, ultra‐low JD, and high specific detectivity (D*). This study emphasizes the critical role of an organic buffer layer in studying the interface energetics and effects to achieve state‐of‐the‐art ...
Anncharlott Kusber +12 more
wiley +1 more source
A large number of connected sensors and devices in Internet of Things (IoT) can generate large amounts of computing data and increase massive energy consumption.
Hongchang Ke +3 more
doaj +1 more source
Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
wiley +1 more source
Polymer Network Modified Perovskite for High‐Performance Pure Blue Light‐Emitting Diodes
A polymer network of poly(4‐vinylphenol) (PVPh) is introduced to improve pure blue perovskite light‐emitting diodes. PVPh effectively passivates defects, enhances film morphology, reduces lattice strain, and suppresses ion migration. These effects lead to record device performance, achieving 9.82% external quantum efficiency and stable blue emission at
Zhongkai Yu +11 more
wiley +1 more source
This study demonstrates that memristors can replace conventional 2T–1C driving circuits with simplified 1T–1 m architectures by exploiting resistance switching. With ultra‐low switching voltages (< ±0.2 V) and multi‐level resistance states, the memristors precisely control the current injected into organic light‐emitting diodes (OLEDs).
Dong Hyun Kim +6 more
wiley +1 more source
A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]
Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Maxwell L. King +2 more
core
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min +13 more
wiley +1 more source
Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus +8 more
wiley +1 more source
A Lightweight Swin Transformer-Based Resource-Adaptive Semantic Compression Strategy
In multi-terminal downlink semantic communication scenarios, employing a uniform semantic compression ratio caused difficulty in semantic decoding for low-computing-power terminals, as well as underutilized computing power resources and insufficiently ...
ZHENG Fei +7 more
doaj
A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers
GPUs are commonly used to accelerate the execution of applications in domains such as deep learning. Deep learning applications are applied to an increasing variety of scenarios, with edge computing being one of them. However, edge devices present severe
Cristian Peñaranda +2 more
doaj +1 more source

