Results 151 to 160 of about 22,489 (230)

Classical Data in Quantum Machine Learning Algorithms: Amplitude Encoding and the Relation Between Entropy and Linguistic Ambiguity. [PDF]

Entropy (Basel)
Eisinger J, Gauderis W, Huybrecht L, Wiggins GA.   +3 more
europepmc   +1 more source

Laying the Foundation for Digital Material Design of Porous Transport Electrodes for PEM Water Electrolysis With Multiscale Tomography

Small, EarlyView.
This paper presents the first multiscale identical location tomography of a porous transport electrode for PEM water electrolysis. Different tomography and modeling approaches determine the relevant structural properties ranging from micrometer‐thick fibers to nanometer‐thin binder films covering the catalyst particles.
Markus Bierling, David McLaughlin, Andreas Hutzler, Mingjian Wu, Darius Hoffmeister, Dennis Chalupczok, Erdmann Spiecker, Thomas Böhm, Simon Thiele   +8 more
wiley   +1 more source

Unveiling Scale-Dependent Statistical Physics: Connecting Finite-Size and Non-Equilibrium Systems for New Insights. [PDF]

Entropy (Basel)
Pérez-Madrid A, Santamaría-Holek I.
europepmc   +1 more source

Do We Really Know Why Carbon Nanotubes Grow?

Small, EarlyView.
The CNT growth mechanism is still debated. We propose a heterogeneous (2D) classical nucleation framework comparing pathways for graphenic patches, caps, and full CNTs. Despite its simplicity, it rationalizes key trends, including the correlation between catalyst particle size and CNT diameter.
Nicola Verziaggi, Matteo Bragagnolo, Niloufar Atashi, Paula Dias, Adelio Mendes, Gonzalo Prieto, Simone Meloni   +6 more
wiley   +1 more source

Quantum Exclusion Process driven by Brownian Motions in terms of quantum Bernoulli noises. [PDF]

Sci Rep
Ren S, Zhang L.
europepmc   +1 more source

Research advances in the applications of mitochondria‐targeted cyanine dyes in imaging

VIEW, EarlyView.
Near‐infrared (NIR) fluorescence imaging, a novel non‐invasive diagnostic tool, plays a crucial role in the imaging and monitoring of solid tumors. At its core are NIR fluorescent dyes, which are widely utilized due to their ability to minimize tissue autofluorescence interference, thereby significantly enhancing the signal‐to‐noise ratio (SNR) and ...
Hongye Liao, Jingyu Deng, Qin Li, Tong Xia, Xun Yang, Simei Yang, Changzhen Sun, Xia Xiong, Li Liu   +8 more
wiley   +1 more source

Noise-Induced Quantum Synchronization and Entanglement in a Quantum Analogue of Huygens' Clock. [PDF]

J Phys Chem Lett
Tyagi B, Li H, Bittner ER, Piryatinski A, Silva-Acuña C.   +4 more
europepmc   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source

Non-linearity, complexity, and quantization concepts in biology. [PDF]

Front Hum Neurosci
Theise ND, Tuszynski JA.
europepmc   +1 more source

A Data‐Driven Multidimensional Profiling Framework for Residential Electricity Users With Application to Load Forecasting

Energy Internet, EarlyView.
ABSTRACT With the advancement of smart grid and Internet of Things, alongside broad adoption of distributed energy resources, precise profiling of residential users has become vital to grid operational efficiency and load forecasting accuracy. However, existing profiling approaches mainly rely on single‐source load data and fail to capture the dynamic ...
Danlin Li, Yuchen Zhang, Rui Zhang, Ming Yang, Yu Li, Chuanqi Wang, Yateendra Mishra   +6 more
wiley   +1 more source