Results 61 to 70 of about 12,656 (256)

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

open access: yesAdvanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje   +7 more
wiley   +1 more source

Successive Decode-and-Forward Relaying With Privacy-Aware Interference Suppression

open access: yesIEEE Access, 2020
Successive relaying holds the promise of achieving spatial diversity gain for single-antenna users while recovering the multiplexing loss due to the half-duplex relaying in B5G/6G.
Jianjing Wei   +3 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
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

Novel half-duplex relay strategy and its resource allocation

open access: yesTongxin xuebao, 2009
Conventional time-division half-duplex relay strategies based on amplify-and-forward or decode-and-forward strategy could relieve relay nodes from full-duplex requirement but lead to degraded spectrum efficiency.
LI Yong   +3 more
doaj   +2 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
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

On the Performance of a Wireless Powered Communication System Using a Helping Relay [PDF]

open access: yesRadioengineering, 2017
This paper studies the outage performance and system throughput of a bidirectional wireless information and power transfer system with a helping relay.
T. N. Nguyen   +4 more
doaj  

Energy Efficient Joint Power Optimization for Full-Duplex Relaying

open access: yesIEEE Access, 2019
Full-duplex (FD) relaying is a promising technology for the next generation communication systems. In this paper, we aim to jointly optimize the source and relay transmit powers to maximize the energy efficiency (EE) for both amplify-and-forward (AF) and
Zhenyao He   +3 more
doaj   +1 more source

Electrically Coded Retinomorphic Spectrophotodetector

open access: yesAdvanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

A Novel Multi-Layer Cooperative Decode and Forward Scheme

open access: yesVTC Spring 2009 - IEEE 69th Vehicular Technology Conference, 2009
Decode-and-forward (DF) is one of the most popular approach to transmit information over a cooperative relay channel. In DF, information coming from different sources is simply combined regardless of their respective link qualities, and thus DF is not optimized for any propagation conditions.
Reza Hoshyar   +2 more
openaire   +2 more sources

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