Results 201 to 210 of about 138,401 (319)

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Carbon nanostructure formation over Ni, Co, Fe on γ-Al₂O₃ during low-temperature dry reforming of methane: insights into mechanisms and catalytic behaviour. [PDF]

RSC Adv
Kaporov A, Shtyka O, Maniukiweicz W, Balcerzak J, Kierzkowska-Pawlak H, Kozanecki M, Steksova Y, Maniecki T.   +7 more
europepmc   +1 more source

Lattice Distortion‐Driven Metal Exsolution in Perovskite Oxides

Advanced Science, EarlyView.
This study elucidates the mechanism of lattice distortion‐driven exsolution through a combination of computational simulations and experimental approaches. Lattice distortion facilitates the formation of oxygen vacancies and subsequent metal segregation, thereby enhancing the exsolution behavior.
Yo Han Kim, Uchan Jeon, Hyeongwon Jeong, Bo‐Ram Won, Jeong Woo Han, Jae‐ha Myung   +5 more
wiley   +1 more source

Large Temperature‐invariant Anomalous Nernst Effect in Non‐collinear Antiferromagnet Mn3Pt

Advanced Science, EarlyView.
Based on the noncollinear antiferromagnetic Mn3Pt thin films, the composition‐tunable Mn‐3d orbital states directly govern the Berry curvature. As a result, a giant and temperature‐invariant anomalous Nernst coefficient of 0.71 µV/K is achieved under Mn‐rich conditions.
Pengwei Gong, Xiaolin Zhang, Wei Zhu, Mingzhi Wang, Chang Pan, Aoqi Xu, Yandong Guo, Yuheng Li, Jiaxin Chen, Yanchang Zhou, Zhong Shi, Dingfu Shao, Liang Liu, Shiming Zhou, Yicheng Guan, Ruiqing Cheng, Xuepeng Qiu   +16 more
wiley   +1 more source

Al₂O₃/Ag nanostructured substrates prepared by ALD/CVD for matrix-free laser desorption/ionization mass spectrometry. [PDF]

RSC Adv
Pałczyńska J, Sibińska E, Piszczek P, Robotnik K, Radtke A, Pryshchepa O, Trzcinski M, Brzozowska W, Przybysz D, Pomastowski P.   +9 more
europepmc   +1 more source

Pressure‐Driven Phase Transition Unlocking Unique Eu2+ Luminescence in Li2SrSiO4 for Optical Sensing and White‐LEDs

Advanced Science, EarlyView.
This study demonstrates, for the first time, the use of a large‐format high‐pressure press to modify synthesized Li2SrSiO4:Eu2+,Cs+ phosphors after its preparation. The pressure treatment results in the formation of new materials with distinctive optical properties, opening pathways for the development of advanced LED devices and high‐performance ...
Przemysław Woźny, Peng Du, Teng Zheng, Junpeng Xue, Liang Peng, Shuailing Ma, Szymon Sobczak, Victor Lavín, Tian Cui, Marcin Runowski   +9 more
wiley   +1 more source

High-Performance Infrared Photodetectors Based on Graphene Nanoribbon Vertical Heterojunctions via Dissociated Double-Walled Carbon Nanotubes. [PDF]

Nanomaterials (Basel)
Li Z, Sun Y, Li M, Han N, Wang Z, Fan J, Zhou H, Jiang X, Li J, Ning Y, Leifer K, Wang M, Gao M, Li H, Song A.   +14 more
europepmc   +1 more source

Bias‐Tunable Two‐Terminal Organic Photodetector for Intelligent Imaging

Advanced Science, EarlyView.
A vertically stacked two‐terminal photodetector with a symmetric donor–acceptor–donor trilayer active exhibits reconfigurable photoresponse with bias‐tunable magnitude and polarity, together with sub‐millisecond response speed and a wide tunable output window.
Sangin Hahn, Sanghoon Park, Seunghyup Yoo   +2 more
wiley   +1 more source

Efficient selective hydrogenation of <i>N</i>,<i>N</i>-dimethylaniline in a continuous fixed-bed reactor over a Cu/Ni-Al₂O₃ catalyst. [PDF]

RSC Adv
Nong J, Sun Z, Zhou W, Wu Z, Qian J, Chen Q, He M.   +6 more
europepmc   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source