Results 181 to 190 of about 401,718 (269)

Oscillator-qubit generalized quantum signal processing: a case study of the uracil cation vibronic model. [PDF]

Chem Sci
Hong J, Kim SH, Min SK, Huh J.
europepmc   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Entropy optimization of magnetohydrodynamic Casson hybrid nanofluid flow over a rotating disk with Cattaneo Christov heat flux. [PDF]

Discov Nano
Gubena T, Ibrahim W.
europepmc   +1 more source

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

Towards <i>stimulando</i> time-resolved infrared spectroscopy to study intermittent light-stimulated CO₂ hydrogenation.

Faraday Discuss
Brzesowsky FA, Emond MR, van Leusden J, Oord R, de Peinder P, Weckhuysen BM, Monai M.   +6 more
europepmc   +1 more source

PCA whitening improves the illumination tolerance for visual place recognition with Fourier signatures. [PDF]

Sci Rep
Offermann L.
europepmc   +1 more source

Lignin Mimicking Protein Methylation Augments the Efficacy of FOLFOX Chemotherapy by Anchoring Thymidylate Synthase

Advanced Materials, EarlyView.
Lignin‐mimicking protein methylation can enhance the efficacy and mitigate the toxicity of the classic FOLFOX chemotherapy regimen. ABSTRACT FOLFOX has served as the standard chemotherapy regimen for advanced stages, specifically in the treatment of pancreatic, colorectal, and bladder cancers.
Shiyao Song, Yan‐Lai Tang, Xiaoting Liu, Jiayi Zheng, Chong Wu, Tang Li, Junhong Ye, Dianmin Xia, Yong Mei, Jingxuan Ma, Libin Huang, Xuequn Luo, Liheng Chen, Yanlin Qin, Weiling He   +14 more
wiley   +1 more source

A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study. [PDF]

JMIR Med Inform
Zahir A, Yu J, Jun JS, Park K, Kim R, Jeong H.   +5 more
europepmc   +1 more source

Transient Charging of Mixed Ionic‐Electronic Conductors by Anomalous Diffusion

Advanced Materials, EarlyView.
This article explores charge transport in mixed ionic‐electronic conductors (MIECs) through electrochemical impedance spectroscopy and transient current analysis. Focusing on PEDOT:PSS, WO3, and n‐doped PBDF, it uncovers the impact of anomalous diffusion via fractional modeling. The study reveals key correlations that deepen understanding and guide the
Heyi Zhang, Gonzalo Rivera‐Sierra, Shirin Siahjani‐Gultekin, Jenifer Rubio‐Magnieto, Anis Allagui, Ignacio Sanjuán, David Franco, Antonio Guerrero, Enrique H. Balaguera, Juan Bisquert   +9 more
wiley   +1 more source

CSFCNet: Cascaded Spatial-Frequency Convolutional Network for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Jiang F, Liu X, Li M, Nie T, Huang L.
europepmc   +1 more source