Results 121 to 130 of about 50,809 (304)
Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks
Spintronic memtransistor neurons based on domain walls enable energy‐efficient, field‐gated, and current‐controlled LIF functionality for neuromorphic computing, as demonstrated. When integrated into spiking neural network architectures, these devices achieve >96% pattern recognition accuracy, demonstrating high performance, scalability, and mem ...
Aijaz H. Lone+7 more
wiley +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo+3 more
wiley +1 more source
A nonlinear analytical procedure for electromagnetic transients in ferromagnetic shields with an exponential permeability model [PDF]
W.J. Croisant+2 more
openalex +1 more source
To argue the applicability of continuum wall‐climbing robots in the nuclear industry, an electromagnetic adhering and self‐inductive sensing integrated claw is developed. The flexible claw realizes an integrated design of the physical structure and excitation circuit. An automatic contact strategy based on fuzzy controller is established, which enables
Pengpeng Yang+3 more
wiley +1 more source
Propagation of Electromagnetic Waves in a Slab with Negative Permittivity and Negative Permeability [PDF]
Y. Zhang+2 more
openalex +1 more source
Minimally Invasive Bowel Cancer Detection through Vibrating Microrobot‐Induced Elastography
A minimally invasive diagnostic method for bowel cancer detection combines vibrating microrobots and laser speckle contrast imaging to map tissue elasticity. By analyzing vibration‐induced resonance, detailed elasticity maps are produced, clearly differentiating tumors from healthy tissue.
Andrew Bickerdike+3 more
wiley +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Transmission-type photonic doping for high-efficiency epsilon-near-zero supercoupling. [PDF]
Yan W, Zhou Z, Li H, Li Y.
europepmc +1 more source
Conjugation symmetry in linear electromagnetism in extension of materials with negative real permittivity and permeability scalars [PDF]
Akhlesh Lakhtakia
openalex +1 more source
Lanthanide‐based luminescence nanothermometry holds multifaceted potential for nanomedical applications, yet despite significant research advances, clinical translation of the engineered nanomaterials is still controversial and widely disputed. This is related to crucial nanotoxicological aspects that must be addressed at the preclinical level ...
Simona Premcheska+2 more
wiley +1 more source