Results 131 to 140 of about 71,771 (337)

Photoelectric Effect of Metallophthalocyanine Derivatives [PDF]

open access: bronze, 1989
Ryo Hirohashi   +3 more
openalex   +1 more source

Valence and Site Engineering Enable Efficient Broadband Near‐Infrared Emission at 960 nm in Cr3+‐Activated Forsterite

open access: yesAdvanced Materials, EarlyView.
This study reports a near‐infrared (NIR) luminescent material (Mg2SiO4:1.5%Cr,5%Li) with efficient (EQE = 48%) ultra‐broadband (FWHM ≈ 2413 cm−1 (226 nm)) NIR emission at 960 nm upon blue‐light excitation. This innovation addresses the low efficiency of long‐wavelength (λmax > 900 nm) NIR‐emitting materials due to the radiationless de‐activation and ...
Lei Zhong   +11 more
wiley   +1 more source

Enhancing X‐Ray Detection Sensitivity Through Hybrid Active Layers of PBDB‐T:ITIC and CdSe Core 2D Nanoplatelets

open access: yesAdvanced Materials Interfaces, EarlyView.
A hybrid semiconductor is fabricated by directly synthesizing 5ML CdSe Core into two organic semiconductors PBDB‐T:ITIC (see). The fabricated hybrid device is systematically analyzed for parameter values such as PCE, Jsc, Rs, and mobility, and corresponding TEM, AFM, XRD, etc. images are included.
Jaewon Son   +3 more
wiley   +1 more source

Ceramics Surface Design by Laser Texturing: A Review on Structures and Functionalities

open access: yesAdvanced Materials Interfaces, EarlyView.
Laser surface texturing (LST) is a huge source for innovation in ceramics, as its versatility allows a swift production of very distinct functionalities for attaining high performances in several fields. This function‐oriented review gathers highly relevant applications of laser surface textured ceramics, from optical, thermal, electronic ...
E. Silva, A. Lopes, G. Miranda
wiley   +1 more source

Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung   +5 more
wiley   +1 more source

Advances in Halide Perovskites for Photon Radiation Detectors

open access: yesAdvanced Materials Technologies, EarlyView.
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang   +3 more
wiley   +1 more source

One Dimensional Metal Oxide Semiconductor Nanotransistors

open access: yesAdvanced Materials Technologies, EarlyView.
This review assesses one dimensional metal oxide NW‐FETs as promising alternatives to conventional transistors. It explores how advances in architecture, material composition, and fabrication processes expand device capabilities. Emphasis is placed on novel gate configurations, different metal oxide nanowires, and post‐treatment methods, which ...
Mariana D. Cortinhal   +2 more
wiley   +1 more source

Toward Advancement of Fabrication Techniques of Neuromorphic Computing Devices Based on 2D Materials

open access: yesAdvanced Materials Technologies, EarlyView.
This review highlights emerging fabrication techniques of 2D material‐based neuromorphic devices, emphasizing proximity vapor transfer for bioinspired optoelectronic applications. Abstract The growing necessity for power‐efficient and cognitive computation mechanisms has driven progress in neuromorphic computing which seeks to imitate the synaptic ...
Shubham Umeshkumar Gupta   +7 more
wiley   +1 more source

Photoelectric synapses based on all-two-dimensional ferroelectric semiconductor heterojunction

open access: yesMaterials Research Express
Photoelectric synapses are attracting intensive attention due to its low power consumption and adaptive learning. However, traditional ferroelectric field effect transistors are not conducive to the integrated application in artificial intelligence ...
Xuanyan Zhao
doaj   +1 more source

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