Results 181 to 190 of about 7,951,353 (386)

Factorization of Quantum Density Matrices According to Bayesian and Markov Networks [PDF]

, 2007
Robert R. Tucci
openalex   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Noise classification in three-level quantum networks by Machine Learning

Machine Learning: Science and Technology
We investigate a machine learning based classification of noise acting on a small quantum network with the aim of detecting spatial or multilevel correlations, and the interplay with Markovianity.
Shreyasi Mukherjee, Dario Penna, Fabio Cirinnà, Mauro Paternostro, Elisabetta Paladino, Giuseppe Falci, Luigi Giannelli   +6 more
doaj   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Quantum steering transfer within quantum network

New Journal of Physics
Quantum steering is the ability that one system affects another one without delay by performing local measurements, which has garnered significant attention in the field of quantum information science. Here, we propose a linear network to realize tunable
Xiao-Gang Fan, Jiaojiao Chen, Wei Xiong, Dong Wang, Liu Ye   +4 more
doaj   +1 more source

Optimal quantum network decongestion strategies. [PDF]

Sci Rep, 2023
Perju Verzotti L, Ciobanu BC, Popescu PG.   +2 more
europepmc   +1 more source

Investigation of Applying Quantum Neural Network of Early-Stage Breast Cancer Detection [PDF]

, 2022
Musaddiq Al Ali, Amjad Y. Sahib, Muazez Al Ali   +2 more
openalex   +1 more source

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim, Hyunbin Kim, Gang Jin Cheon, Dohyun Lee, In Soo Kim, Uiyeon Won, Jongseok Lee, Sang Min Won, Joohoon Kang   +8 more
wiley   +1 more source

Solving the nuclear pairing model with neural network quantum states [PDF]

, 2022
Mauro Rigo, Benjamin D. Hall, M. Hjorth‐Jensen, Alessandro Lovato, Francesco Pederiva   +4 more
openalex   +1 more source

Using In Situ TEM to Understand the Surfaces of Electrocatalysts at Reaction Conditions: Single‐Atoms to Nanoparticles

Advanced Functional Materials, EarlyView.
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek, Soshan Cheong, Julie Cairney, Richard D. Tilley, Ingemar Persson   +4 more
wiley   +1 more source