Results 121 to 130 of about 16,903 (301)

Optical Charge Trap Memory Based on Graphene/ZnO Heterostructures for Long‐Term Retention and Adaptive Learning

Advanced Electronic Materials, EarlyView.
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin, Junhyung Kim, Hyungdoh Lee, Yixuan Dou, Jacob T. Heiden, Seung Eun Lee, Jinwoo Song, Lina Quan, Giulia Tagliabue, Min Seok Jang, Himchan Cho   +10 more
wiley   +1 more source

Design of an SAR-Assisted Offset-Calibrated Chopper CFIA for High-Precision 4–20 mA Transmitter Front Ends

Applied Sciences
In loop-powered 4–20 mA transmitter systems, sensors like temperature, pressure, flow, and gas sensors are chosen based on specific application requirements.
Jian Ren, Yiqun Niu, Bin Liu, Meng Li, Yansong Bai, Yuang Chen   +5 more
doaj   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Methods for Determining Blood Flow Through Intact Vessels of Experimental Animals Under Conditions of Gravitational Stress and in Extra-terrestrial Space Capsules Final Report, 1 Nov. 1960 - 31 Dec. 1964 [PDF]

Electromagnetic blood flow meter to determine blood flow through intact vessels of test animals in gravitational stress and in extraterrestrial space ...
Sciorra, A. F., Shaw, R. F.
core   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A 250 °C Low-Power, Low-Temperature-Drift Offset Chopper-Stabilized Operational Amplifier with an SC Notch Filter for High-Temperature Applications

Applied Sciences
This paper proposes a three-stage op amp based on the SOI (silicon-on-insulator) process, which achieves a low offset voltage and temperature coefficient across a wide temperature range from −40 °C to 250 °C.
Zhong Yang, Jiaqi Li, Jiangduo Fu, Jiayin Song, Qingsong Cai, Shushan Qiao   +5 more
doaj   +1 more source

Some developments in improved methods for the measurements of the spectral irradiances of solar simulators [PDF]

Measurement of spectral emission from solar simulators - photoelectric ...
Brown, R. E., Jackson, J. J., Schneider, W. E., Stair, R., Waters, W. R.   +4 more
core   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Single Cell RNA Transcriptomics of Mantle Cell Lymphoma Reveals the Presence of Treatment‐Resistant Subclones at the Time of Diagnosis

American Journal of Hematology, EarlyView.
ABSTRACT Mantle cell lymphoma (MCL) is a B‐cell malignancy with a chronically relapsing clinical course and pronounced genetic heterogeneity. To investigate the clonal dynamics underlying early disease relapse, we performed single‐cell RNA sequencing of paired tumor samples collected at diagnosis and at first relapse. Inference of copy number variants (
Dmitry Manakov, Magdalena Klanova, Michal Kolar, Robert Ivanek, Florian Geier, Julien Roux, Tomas Zikmund, Lucie Winkowska, Eva Kriegova, Jirina Manakova, Liliana Tuskova, Silvia Spanikova, Alexandra Scasna, Marek Trneny, Pavel Klener   +14 more
wiley   +1 more source

Single parameter testing application [PDF]

Single parameter testing with growing exponential signals applied to servo loop controlling arm position on X-Y ...
Berger, E. L., Jackson, J. C.
core   +1 more source