Results 191 to 200 of about 34,337 (296)

Surface/Interface Engineering for High-Resolution Micro-/Nano-Photodetectors. [PDF]

Nanomicro Lett
Chang J, Liu T, Geng X, Dai G, Yang L, Cheng M, Jiang L, Sun Z, Liu J, Chen W.   +9 more
europepmc   +1 more source

Enhanced Performance of Optoelectronic Devices Using Metal Chalcogenide Complex Ligands‐Capped InAs/ZnSe Quantum Dots as Electron Transport Layers

Advanced Energy Materials, EarlyView.
Thin‐shell InAs/ZnSe quantum dots functionalized with metal chalcogenide ligands were employed as electron transport layers in organic optoelectronic devices, yielding optimized conduction band alignment and film morphology. Consequently, the devices achieved enhanced charge transport, a detectivity of ∼1013 Jones, and a power conversion efficiency of ...
Yonghoon Choi, Seyeong Song, Dain Choi, Jinho Shin, Yeonjeong Lee, Jaehyeong Kim, Jeongmin Son, Jin Young Kim, Jongnam Park   +8 more
wiley   +1 more source

Optimization of Organic Photodetector Performance Using SCAPS 1D Simulation: Enhanced Quantum Efficiency and Responsivity for UV Detection. [PDF]

Nanomaterials (Basel)
Alali AS, Inanir F.
europepmc   +1 more source

Surface Acidity Engineering: From Fundamental Insights to Universal Design Rules for Electrocatalytically and Electrically Active Oxides

Advanced Energy Materials, EarlyView.
This comprehensive review highlights surface acidity engineering as a versatile strategy to modulate surface charge and boost catalytic performance in functional oxides. It explores recent advances in practical implementation, structural reconstruction approaches, and mechanistic origins from diverse complementary viewpoints.
Gyu Rac Lee, Harry L. Tuller
wiley   +1 more source

From Design to Prototype: High-Sensitivity Tri-Mode Operation Photodetectors Based on 1T-2H Hybrid MoS₂. [PDF]

Adv Sci (Weinh)
Li X, Tang D, Guo J, Zhang X, Liu S, Yu Y, Cheng Q, Gao C, Guan X, Lu P, Zhuge F, Xie Y, Lin C, Shen X, Yu H, Zhang H, Wang J.   +16 more
europepmc   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

A near-infrared Sn-Pb perovskite imager with monolithic integration. [PDF]

Light Sci Appl
Ge C, Deng C, Zhu J, Zhu Y, Xu Q, Jiang B, Chen L, Liu Y, Song B, Fu P, Chen C, Gao L, Tang J.   +12 more
europepmc   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Carrier Transport Control for Enhanced Performance in Dual-Color Quantum Well Infrared Photodetectors. [PDF]

Nanomaterials (Basel)
Chen Z, Xin R, Wang S, Li T.
europepmc   +1 more source

Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion

Advanced Intelligent Systems, EarlyView.
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari, Yeji Lee, Pranathi Adluri, Daniil Karnaushenko, Dmitriy D. Karnaushenko, John S. McCaskill, Oliver G. Schmidt   +6 more
wiley   +1 more source