Results 111 to 120 of about 108,935 (277)
RIN transfer in second-order amplification with centrally-pumped random distributed feedback fiber lasers [PDF]
The predicted relative intensity noise (RIN) transfer function for distributed amplification based on centrally-pumped random distributed feedback ultralong Raman fiber lasers (RDFLs) is found and studied over a broad range of possible lengths and signal
Nuño, Javier +1 more
core +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Age of information for remote sensing with uncoordinated finite-horizon access
We analyze a remote sensing system in the Internet of things, where uncoordinated nodes send status updates to a common receiver to achieve information freshness, quantified through age of information.
Pooja Hegde +2 more
doaj +1 more source
Tunable lasers are necessary devices for modern-day telecommunications and sensing systems. Tunable lasers based on altering the refractive index of the tuning sections of distributed Bragg reflectors (DBR) by varying the injected electrical current show
Sean O’Duill, Yi Lin, Liam Barry
doaj +1 more source
Time-delay signature concealed broadband gain-coupled chaotic laser with fiber random grating induced distributed feedback [PDF]
A broadband chaotic laser with a flat power spectrum extending up to 8.5GHz is achieved by injecting continuous wave laser light into a chaotic diode laser perturbed by fiber random grating induced distributed feedback, which forms a gain-coupled chaotic
Yanping Xu (788986) +5 more
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Ultra-long (275 km) random distributed feedback fiber laser for remote sensor monitoring [PDF]
Trabajo presentado a la 26th International Conference on Optical Fiber Sensors. Suiza, 2018An interferometric sensor located 275 km away from the monitoring station has been interrogated by a double-pumped random distributed feedback fiber laser ...
Miguel Soto, Verónica de +2 more
core +1 more source
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
A mode-locked random laser generating transform-limited optical pulses
Ever since the mid-1960’s, locking the phases of modes enabled the generation of laser pulses of duration limited only by the uncertainty principle, opening the field of ultrafast science. In contrast to conventional lasers, mode spacing in random lasers
Jean Pierre von der Weid +4 more
doaj +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source

