Results 251 to 260 of about 131,766 (331)

Dual‐Phased Molybdenum Carbides Confined in MOF‐Derived Carbon Nanoframes Enhance Capacitive Desalination

Advanced Functional Materials, EarlyView.
Dual‐phase MoC/Mo2C/CoNC nanoframes are synthesized via a MOF‐on‐MOF strategy, demonstrating a large salt adsorption capacity, a low energy consumption, and an excellent cycling stability. In situ/ex situ characterizations and DFT calculations reveal that the MoC/Mo2C dual phase transition facilitates Na+ adsorption/desorption, while interface‐induced ...
Feifei Pang, Bohan Liu, Jingyu Wu, Qian Yang, Zhichang Xiao, Ningzhao Shang, Xiaoxian Zhao, Yusuke Yamauchi, Shuaihua Zhang   +8 more
wiley   +1 more source

A Review of Fault Diagnosis Methods: From Traditional Machine Learning to Large Language Model Fusion Paradigm. [PDF]

Sensors (Basel)
Nie Q, Geng J, Liu C.
europepmc   +1 more source

Programmable DNA‐Peptide Hybrid Nanostructures for Potent Neutralization of Multiple Influenza a Virus Subtypes

Advanced Functional Materials, EarlyView.
A multivalent antiviral platform based on honeycomb‐shaped DNA nanostructures (HC–Urumin) is developed to enhance the potency and breadth of the host defense peptide Urumin. Through spatially patterned trimeric presentation, HC–Urumin disrupts influenza A virus entry, improves cell viability, and reduces disease severity in vivo‐offering a modular and ...
Saurabh Umrao, Abhisek Dwivedy, Payton L. Haak, Dhanush Gandavadi, Laurie A. Rund, Chi Chen, Vineetha Mareddy, Lifeng Zhou, Jinwei Duan, Ying Fang, Andrew J. Steelman, Xing Wang   +11 more
wiley   +1 more source

A Multi-Working States Sensor Anomaly Detection Method Using Deep Learning Algorithms. [PDF]

Sensors (Basel)
Wu D, Koskinen K, Coatanea E.
europepmc   +1 more source

Local Thermal Conductivity Patterning in Rotating Lattice Crystals of Anisotropic Sb2S3

Advanced Functional Materials, EarlyView.
Microscale control of thermal conductivity in Sb2S3 is demonstrated via laser‐induced rotating lattice crystals. Thermal conductivity imaging reveals marked thermal transport anisotropy, with the c axis featuring amorphous‐like transport, whereas in‐plane directions (a, b) exhibit 3.5x and 1.7x larger thermal conductivity.
Eleonora Isotta, Rosemary Wynnychenko, Binayak Mukherjee, Jack Kaman, Hrushikesh Sahasrabuddhe, Jiongzhi Zheng, Anubhav Jain, Geoffroy Hautier, Alexandra Zevalkink, Evan Musterman, Volkmar Dierolf, Himanshu Jain, G. Jeffrey Snyder, Oluwaseyi Balogun   +13 more
wiley   +1 more source

Rapid wavefield forecasting for earthquake early warning via deep sequence to sequence learning. [PDF]

Nat Commun
Lyu D, Nakata R, Ren P, Mahoney MW, Pitarka A, Nakata N, Erichson NB.   +6 more
europepmc   +1 more source

Software Fault Prediction : Using Machine Learning Algorithms

Background: Software fault prediction (SFP) is a critical task in software engineering, enabling early identification of fault modules to improve software quality and reduce maintenance costs. SFP datasets, such as PROMISE, are often characterized by high-dimensional metrics and multicollinearity, posing unique challenges.
openaire   +1 more source

Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis

Advanced Functional Materials, EarlyView.
An all‐optical method is presented for quantifying the density of boron vacancy spin defects in hexagonal boron nitride (hBN). By correlating Raman and photoluminescence signals with irradiation fluence, defect‐induced Raman modes are identified and established an relationship linking optical signatures to absolute defect densities. This enables direct
Atanu Patra, Paul Konrad, Andreas Sperlich, Timur Biktagirov, Wolf Gero Schmidt, Lesley Spencer, Igor Aharonovich, Sven Höfling, Vladimir Dyakonov   +8 more
wiley   +1 more source

Artificial Intelligence of Things for Next-Generation Predictive Maintenance. [PDF]

Sensors (Basel)
Bitam T, Yahiaoui A, Boubiche DE, Martínez-Peláez R, Toral-Cruz H, Velarde-Alvarado P.   +5 more
europepmc   +1 more source