Results 131 to 140 of about 29,938 (247)
Parameter calibration of the conceptual rainfall-runoff model based on improved quadratic interpolation optimization. [PDF]
Zhang J +7 more
europepmc +1 more source
Optical Detection and Modeling of Lithium Deposition on Copper Current Collectors
ABSTRACT Understanding lithium (Li) deposition on copper (Cu) substrates is essential for improving the performance and lifetime of zero–excess lithium metal batteries. In this study, Li deposition was investigated under realistic coin–cell conditions using complementary scanning electron microscopy and laser scanning microscopy. A semi–automatic image
Tjark T. K. Ingber +4 more
wiley +1 more source
Impact of center-to-center distance and slit width on robust target coverage and PVDR for proton minibeam radiation therapy using a commercial TPS. [PDF]
Prins AC +3 more
europepmc +1 more source
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias +4 more
wiley +1 more source
A Geometric Whale Optimization Algorithm with Triangular Flight for Numerical Optimization and Engineering Design. [PDF]
Wei J +11 more
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Bearing Anomaly Detection Method Based on Multimodal Fusion and Self-Adversarial Learning. [PDF]
Liu H, Qin Y, Tu D.
europepmc +1 more source
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue +6 more
wiley +1 more source
Can the Generalized Graded Unfolding Model Fit Dominance Responses? [PDF]
Fu J, Tan X, Kyllonen PC.
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source

