Results 61 to 70 of about 432 (251)
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Engineered Optical Fibers for Deep‐Tissue Applications
This review establishes a foundational framework for designing optical fibers for deep‐tissue medicine. It systematically links material innovations like polymers and hydrogels with structural paradigms to enable state‐of‐the‐art diagnostics, including endoscopy and biosensing, and targeted therapeutics, guiding future clinical translation.
Yuzhen Li +16 more
wiley +1 more source
Liquid Metal Sensors for Soft Robots
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source
Designing quantum-dot cellular automata circuits using a robust one layer crossover scheme
Quantum-dot cellular automata (QCA) is a novel nanotechnology which is considered as a solution to the scaling problems in complementary metal oxide semiconductor technology. In this Letter, a robust one layer crossover scheme is introduced. It uses only
Sara Hashemi, Keivan Navi
doaj +1 more source
Muscle cell‐based biohybrid robot using nanomaterials for function enhancement and neural function for biomedical applications. Biohybrid robotics, an emerging field combining biological tissues with artificial systems, has made significant progress in developing various biohybrid constructs, including muscle‐cell‐driven biorobots and microbots.
Minkyu Shin +4 more
wiley +1 more source
COMPREHENSIVE ANALYSIS OF COST FUNCTION IN QUANTUM-DOT CELLULAR AUTOMATA
In the last five decades, the design of digital systems in nano-scale has attracted the attention of researchers. Quantum-dot Cellular Automata is a new method of binary representation at the nano level.
Esam Alkaldy +3 more
doaj +1 more source
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
Efficient Nano-Scale Design of TIEO Based Reversible Logic Toffoli Gate Priority Encoder in Quantum-Dot Cellular Automata [PDF]
The goal of this research is to create a QCA-based reversible priority encoder. It is one of the most crucial parts of the encoding and decoding process.
Kalpana K. +4 more
doaj +1 more source
Emerging Device Applications From Strong Light–Matter Interactions in 2D Materials
Two‐dimensional semiconductors enable extremely compact optoelectronic devices such as solar cells, sensors, LEDs, and lasers. Their strong light–matter interactions allow efficient light emission, detection, and energy conversion. This review article discusses the recent progress in integrating these materials with optical cavities and nanostructures ...
Janani Archana K +7 more
wiley +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source

