Results 71 to 80 of about 10,381 (194)

Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors

Advanced Quantum Technologies, EarlyView.
Machine learning (ML) methods are proposed to characterize the memristive properties of single and coupled quantum memristors. It is shown that maximizing the memristivity leads to large values in the degree of entanglement of two quantum memristors, unveiling the close relationship between quantum correlations and memory.
Carlos Hernani‐Morales, Gabriel Alvarado, Francisco Albarrán‐Arriagada, Yolanda Vives‐Gilabert, Enrique Solano, José D. Martín‐Guerrero   +5 more
wiley   +1 more source

Energy‐Based Trajectory Tracking for Underactuated Mechanical Systems: Velocity‐Free and Disturbance Rejection Methods

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This work investigates three energy‐shaping control approaches to address the trajectory‐tracking problem for specific classes of underactuated mechanical systems. In particular, the notions of contractive systems and dynamic extensions are utilized to solve the trajectory‐tracking problem while addressing implementation issues such as the ...
N. Javanmardi, P. Borja, A. J. van der Schaft, M. J. Yazdanpanah, J. M. A. Scherpen   +4 more
wiley   +1 more source

A density functional theory study of tyrosine‐proton mediated transport in Ag‐filamentary nanodevices

Smart Molecules, EarlyView.
A density functional theory study of tyrosine and proton‐assisted transport in an Ag‐based nanodevice is presented. The study confirms the hypothesis that tyrosine molecules enable proton‐mediated charge transport in Ag conductive filaments. Both relative tyrosine–Ag atom placement and proton concentrations were investigated.
Dan Berco
wiley   +1 more source

Bridging the Gap: How Organ‐on‐a‐Chip Technology Facilitates the Battle against Glioma

Small Science, EarlyView.
This review critically evaluates current state‐of‐the‐art in vitro glioma models especially glioma‐on‐a‐chip models based on readout capability, performance, and physiological relevance. It summarizes the key parameters and proposes a practical framework to guide researchers in selecting the most suitable preclinical models for glioma studies.
Su Liu, Zhenyu Gong, Dairan Zhou, Vanesa Ayala‐Nunez, Tao Xu, Peter Wick   +5 more
wiley   +1 more source

Thermal prestressing of subsequently slotted reinforcement—Experimental and numerical development and optimization of an induction method

Structural Concrete, EarlyView.
Abstract Many infrastructure buildings show deficits in their load‐bearing capacity and need to be strengthened in the short or medium term. However, the available methods are usually not effective for the self‐weight without temporary raising or prestressing the structure.
Yannik Schwarz, Denis Ratke, David Sanio, Thomas Meurer, Peter Mark   +4 more
wiley   +1 more source

Study of Heat Transfer Simulation Method for Magnetic Hyperthermia Considering Heat Generation Characteristics of Thermo‐Sensitive Magnetic Particle

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
The purpose of this paper is to establish a heat transfer simulation method for magnetic hyperthermia that incorporates the heat generation characteristics of low curie point thermo‐sensitive magnetic particles and their relative position to a Drive coil that applies the magnetic field.
Kazuna Sato, Kazutaka Mitobe
wiley   +1 more source

Tensor Decomposition‐Based Model Order Reduction Applied to Multi‐Parameter Electromagnetic Problems in the Context of Digital Twins

High Voltage, EarlyView.
ABSTRACT Digital twin is considered the key technique for real‐time monitoring and life‐cycle management of electric equipment. To construct the digital twin model of electric equipment, a multi‐parameter electromagnetic analysis is needed to generate a large amount of high fidelity data under various working condition.
Ze Guo, Zuqi Tang, Zhuoxiang Ren
wiley   +1 more source

Mapping priority areas to mitigate the risk of electrocution of range‐restricted bird species

Journal of Applied Ecology, EarlyView.
Our study proposes a framework to identify areas with higher electrocution risk, which can be used even in data‐scarce regions or adapted to a multi‐species assessment context. This approach can support proactive strategies for energy companies with an initial assessment identifying areas to avoid installing new power lines, evaluating sites for ...
Larissa D. Biasotto, Andreas Kindel, Erica C. Pacífico, Thiago Filadelfo, Fernanda R. Paschotto, Gabriela R. Favoretto, Antônio Emanuel E. A. Sousa, Aldicir Scariot, Fernando Ascensão   +8 more
wiley   +1 more source

Epidemiological Dynamics of a Visually Apparent Disease: Camera Trapping and Machine‐Learning Applied to Rumpwear in the Common Brushtail Possum

Integrative Zoology, EarlyView.
Visually apparent diseases are valuable for investigating and monitoring the occurrence and prevalence of pathogens in wildlife populations through passive monitoring methods like camera trapping. Rumpwear is characterized by visible signs of hair breakage and damage on the lumbosacral region of common brushtail possums.
Elise M. Ringwaldt, Jessie C. Buettel, Scott Carver, Barry W. Brook   +3 more
wiley   +1 more source

The crucial role of meshing in computational fluid dynamics simulations for organic geometries in paleobiology: Describing fluid dynamics performance through best practices

Methods in Ecology and Evolution, EarlyView.
Abstract Computational fluid dynamics (CFD) has become an essential tool for studying fluid interactions in biological systems. While widely used in engineering, its application in the natural sciences, particularly in paleobiology, remains limited due to the challenges of meshing complex organic geometries.
Matheo López‐Pachón, Jordi Marcé‐Nogué   +1 more
wiley   +1 more source