Results 131 to 140 of about 230,604 (269)
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
E. coli Extracellular Matrix: A Tunable Composite With Hierarchical Structure
The complex composite‐like mechanical behavior of E. coli biofilm matrix is the result of a synergic contribution of the rigid curli and swelling pEtN‐cellulose, and emerges from specific ratio and assembly conditions. The interactions between the two fibers govern biofilm hydration and characteristic wrinkling patterns, providing crucial insights for ...
Macarena Siri +7 more
wiley +1 more source
Near‐Unity Chiral Lasing Enabled by Quasi‐Bound States in the Continuum
Nanoimprinted chiral array that supports bound states in the continuum is doped with an efficient non‐chiral molecule (Rhodamine‐B) acting as gain medium to produce fully circularly polarized lasing emission. The chiral lasing wavelength can be tuned across the emission band of Rhodamine‐B by adjusting the coating thickness of the TiO2 high refractive ...
Jose Mendoza‐Carreño +5 more
wiley +1 more source
Minimally Invasive Delivery of Optical Nanosensors Using Injectable Hydrogels
Injectable peptide hydrogels offer a minimally invasive delivery platform for single‐walled carbon nanotube (SWCNT)‐based near‐infrared fluorescent sensors, enabling real‐time measurement of drug concentrations. Encapsulated SWCNTs show a dose‐dependent fluorescence response across physiologically relevant concentrations and retain their fluorescence ...
Shirel Kleiner, Gili Bisker
wiley +1 more source
Techniques to maximize memory bandwidth on the Rigel compute accelerator
The Rigel compute accelerator has been developed to explore alternative architectures for massively parallel processor chips. Currently GPUs that use wide SIMD are the primary implementations in this space.
Tuohy, William J.
core
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Constant-bandwidth adaptive transimpedance amplifier [PDF]
A new CMOS transimpedance amplifier (TIA) with variable gain for optical fibre communication receivers is presented. The proposed configuration is realised in a low-cost digital 0.35 µm CMOS process fed from a single 1.8 V voltage supply.
MARIA TERESA SANZ PASCUAL +1 more
core
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
Traffic and network engineering in emerging generation IP networks : a bandwidth on demand model
This paper assesses the performance of a network management scheme where network engineering (NE) is used to complement traffic engineering (TE) in a multi-layer setting where a data network is layered above an optical network.
Bagula, Antoine B,, Krzesinski, A. E.
core +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source

