Results 51 to 60 of about 1,474 (246)

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

Advanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno, Qiangrui Dong, Marco Post, Xin Meng, Cristiano Glessi, Nynke Marije Hettema, Nidas Brandsma, Sebbe Blokhuizen, Alejandro Castañeda Garcia, Srividya Ganapathy, Thieme Schmidt, Lars van Roemburg, Bing Xu, Chun‐Ting Cho, Liedewij Laan, Miao‐Ping Chien, Daan Brinks   +16 more
wiley   +1 more source

Encoding Techniques Based on Reversible Quantum Dot Cellular Automata

Tikrit Journal of Engineering Sciences
Line encoding technique is essential for data transfer in IoT. It entails encoding the unprocessed bit stream according to designated protocols before transmission.
Mohammed Hussein Ali, Noora H. Sherif, Suhad Qasim Naeem   +2 more
doaj   +1 more source

Dataset demonstrating the temperature effect on average output polarization for QCA based reversible logic gates

Data in Brief, 2017
Quantum-dot cellular automata (QCA) is a developing nanotechnology, which seems to be a good candidate to replace the conventional complementary metal-oxide-semiconductor (CMOS) technology.
Md. Kamrul Hassan, Nur Mohammad Nahid, Ali Newaz Bahar, Mohammad Maksudur Rahman Bhuiyan, Md. Abdullah-Al-Shafi, Kawsar Ahmed   +5 more
doaj   +1 more source

Molecular Quantum-Dot Cellular Automata

, 2003
Quantum-dot cellular automata (QCA) is an approach to computing which eliminates the need for transistors by representing binary digits as charge configurations rather than current levels.
Beth Claire Isaksen (17548176)
core   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Six-Correction Logic (SCL) Gates in Quantum-dot Cellular Automata (QCA)

International Journal of Science and Engineering, 2015
Quantum Dot Cellular Automata (QCA) is a promising nanotechnology in Quantum electronics for its ultra low power consumption, faster speed and small size features.
Md. Anisur Rahman, Sajjad Waheed, Md. Ahsan Habib, Ali Newaz Bahar   +3 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

RSCV: Reversible Select, cross and variation architecture in quantum‐dot cellular automata

IET Quantum Communication, 2022
In the past few years, CMOS semiconductor has been a growing and evolving technology in VLSI. However, due to the scaling issue and some other constraints like heat generation, high power consumption QCA (quantum cellular automata) emerged as an ...
Arpita Kundu, Jadav Chandra Das, Debashis De   +2 more
doaj   +1 more source

Review Paper on Quantum Dot Cellular Automata Using Nanoelectronics

, 2018
In quantum dot cellular automata emerge the electronic circuits. This technology takes more attention because of current silicon transistor technology faces many problems. The main advantages of QCA is fast speed and low power consumption.
Er. Deepak Pancholi, Jayshree Chouksey
core   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source