Results 71 to 80 of about 153,200 (241)

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

Advanced 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, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

A Cu‐Based Near‐IR Active MOF with an Ion‐Pair Guest Exhibiting Versatile and Selective Gas‐Solid Reactivity

Advanced Materials, EarlyView.
The new Cu‐containing MOF (Me2NH2)(CuICl2)@[Cu4(INA)4Cl2O]·1.5dmf (3) contains a cation and an anion as guests and shows UV‐near‐mid‐IR absorption and near‐IR emission. MOF 3 shows gas‐solid reactivity in the presence of NH3 and HCOOH to yield two new 3D MOF.
Rajat Saha, Alejandro Cortés‐Villena, Silvia Gómez‐Coca, Alberto Fernández‐Alarcón, Joaquín Calbo, Raquel E. Galian, Enrique Ortí, Eliseo Ruiz, Mónica Giménez‐Marqués, Samia Benmansour, Carlos J. Gómez‐García   +10 more
wiley   +1 more source

Light‐Induced Entropy for Secure Vision

Advanced Materials, EarlyView.
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park, Youngwoo Yoo, Yeong Kwon Kim, Wonjun Shin, Byung Chul Jang, Young‐Joon Kim, Hocheon Yoo   +9 more
wiley   +1 more source

A Plug-and-Play P300-Based BCI With Zero-Training Application

IEEE Transactions on Neural Systems and Rehabilitation Engineering
The practical deployment of P300-based brain–computer interfaces (BCIs) has long been hindered by the need for user-specific calibration and multiple stimulus repetitions.
Jongsu Kim, Sung-Phil Kim
doaj   +1 more source

Classification of Selective Attention Within Steady-State Somatosensory Evoked Potentials From Dry Electrodes Using Mutual Information-Based Spatio-Spectral Feature Selection

IEEE Access, 2020
Nowadays, the steady-state somatosensory evoked potential (SSSEP)-based brain-computer interfaces (BCIs) has been developed for improving the quality of daily life for people with physical disabilities. However, due to its poor performance of recognizing
Keun-Tae Kim, Jaehyung Lee, Hyungmin Kim, Choong Hyun Kim, Song Joo Lee   +4 more
doaj   +1 more source

The posterior-Viterbi: a new decoding algorithm for hidden Markov models

, 2005
Background: Hidden Markov models (HMM) are powerful machine learning tools successfully applied to problems of computational Molecular Biology. In a predictive task, the HMM is endowed with a decoding algorithm in order to assign the most probable state ...
Casadio, Rita, Fariselli, Piero, Martelli, Pier Luigi   +2 more
core  

Introduction to Quantum Error Correction [PDF]

, 2001
In this introduction we motivate and explain the ``decoding'' and ``subsystems'' view of quantum error correction. We explain how quantum noise in QIP can be described and classified, and summarize the requirements that need to be satisfied for fault ...
Ashikhmin, A., Barnum, H., Knill, E., Laflamme, R., Viola, L., Zurek, W. H.   +5 more
core   +2 more sources

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

MS-TSEFNet: Multi-Scale Spatiotemporal Efficient Feature Fusion Network

Sensors
Motor imagery signal decoding is an important research direction in the field of brain–computer interfaces, which aim to judge the motor imagery state of an individual by analyzing electroencephalogram (EEG) signals.
Weijie Wu, Lifei Liu, Weijie Chen, Yixin Chen, Xingyu Wang, Andrzej Cichocki, Yunhe Lu, Jing Jin   +7 more
doaj   +1 more source

Digital Microneedles for Multiplexed Transdermal Sensing via Fluorescent QR Codes

Advanced Materials, EarlyView.
Digital fluorescent microneedles encode biochemical information in skin into scannable QR codes through threshold‐activated probes that generate binary on/off signals. By transforming analog fluorescence into discrete digital patterns, this platform enables calibration‐free, multiplexed transdermal sensing of physiologically relevant biomarkers ...
Farbod Abazar, Shahrokh Vahabi, Elena Bellotti, Martina Corsi, Irene Nocera, Paola Orlandi, Guido Bocci, Giuseppe Barillaro   +7 more
wiley   +1 more source