Results 121 to 130 of about 10,907 (259)

Relation between Structure and Functionality in Photosynthetic Antenna Complex of Green Sulfur Bacteria: Efficiency under Natural Sunlight Pumping. [PDF]

J Phys Chem B
Valzelli A, Mattiotti F, Cao J, Celardo GL.   +3 more
europepmc   +1 more source

Generalized Thermoelasticity for an Infinite Solid Cylinder

JSME international journal. Ser. 1, Solid mechanics, strength of materials, 1990
FURUKAWA, Toshio, NODA, Naotake, ASHIDA, Fumihiro   +2 more
openaire   +3 more sources

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Trap shape affects efficacy of sticky traps for New World screwworm, Cochliomyia hominivorax (Diptera: Calliphoridae). [PDF]

J Econ Entomol
Hickner PV, Phillips PL, Cerdas EI, Pacheco L, Sanchez Ortiz C, Saelao P, Welch JB.   +6 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Effect of phytoplankton morphology on the measurement of biovolume. [PDF]

J Plankton Res
Farrow CR, Ackerman JD.
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Health status monitoring of cutting arm of anchor excavator based on digital twin. [PDF]

Sci Rep
Xie C, Chen X, Liu Z, Zou K.
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Comparison of effectiveness of four myopia control interventions in Chinese children: a real-world retrospective study. [PDF]

Eye Vis (Lond)
Chen L, Sun L, Chen X, Liu J, Li J, Leung HY, Zhang J, Lam DSC.   +7 more
europepmc   +1 more source