Results 251 to 260 of about 6,092,847 (395)
Carbon Nanotube 3D Integrated Circuits: From Design to Applications
As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu+3 more
wiley +1 more source
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho+8 more
wiley +1 more source
Handbook of Industrial Engineering Equations, Formulas, and Calculations [PDF]
Adedeji B. Badiru, Olufemi A. Omitaomu
openalex +1 more source
Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts. [PDF]
Onyelowe KC+7 more
europepmc +1 more source
Structured, Shaped, or Printed Single‐Atom Catalysts and Their Applications
This paper reviews the design and use of structured single‐atom catalysts, which integrate porous architectures with the exceptional reactivity of isolated catalytic sites. It explores fabrication strategies, advanced characterization methods, and support materials that enhance thermal stability, mechanical robustness, and operational efficiency of ...
Jiachengjun Luo+4 more
wiley +1 more source
Correction: Hydroxy-directed iridium-catalyzed enantioselective formal β-C(sp<sup>2</sup>)-H allylic alkylation of α,β-unsaturated carbonyls. [PDF]
Mitra S+3 more
europepmc +1 more source
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly+4 more
wiley +1 more source
Predictive Modelling and Optimisation of Rubber Blend Mixing Using a General Regression Neural Network. [PDF]
Kopal I+7 more
europepmc +1 more source