Results 181 to 190 of about 12,709 (311)
Intelligent Fault Diagnosis in Power Distribution Networks Using Lstm-Densenet Network
Lipeng Ji, Zhonghao Wei, Daqi Zhu
openalex +1 more source
IMPACT OF DG ON POWER SYSTEM FAULTS IN RADIAL DISTRIBUTION SYSTEM
, 2019 T Murali Mohan, G Anjali Devi
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Advanced Functional Materials, EarlyView.This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker +5 more
wiley +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
A novel traveling-wave-based detection and self-healing approach for series faults in smart grids under renewable energy uncertainty. [PDF]
Sci RepElsadd MA +4 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Research on Hot Spot Fault Detection Method Based on Infrared Images of Photovoltaic Modules in Complex Background. [PDF]
Sensors (Basel)Li L, Wu W, Li Z.
europepmc +1 more source
Advanced Functional Materials, EarlyView.Precursor‐ and solvent‐mediated synthesis yields four Cu3(HHTP)2 morphologies with distinct physicochemical, sorption, and sensing properties toward SO2. Uptake capacities correlate with BET surface area, while sensing performance scales with particle aspect ratio.
Patrick Damacet +5 more
wiley +1 more source
Transformer windings defects identification using frequency response analysis and advanced data visualization techniques. [PDF]
Sci RepHosseini A +3 more
europepmc +1 more source