Results 231 to 240 of about 272,983 (328)
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
IE-GADCI: An End-to-End Incoherence-Enhanced Generative Adversarial Deep Compressive Imaging. [PDF]
Zhang K, Sun Y, Yelluru V, Yang W.
europepmc +1 more source
Hybrid sparse two-dimensional antenna array synthesis using Independent Compression Regions
Leonardo F. Yepes +3 more
openalex +2 more sources
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 +4 more
wiley +1 more source
Multi-wavelength graph convolutional network for high-performance sparse multispectral optoacoustic tomography. [PDF]
Lu M, Wang J, Peng J, Li B, Liu X.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
3DLF-Scan dataset: Multi-sensor 3D light-field and structured-light scans of 3D-printed Stanford figures. [PDF]
Vodianyk B, Popov A, Nava-Baro E.
europepmc +1 more source
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
SlingBAG: point cloud-based iterative algorithm for large-scale 3D photoacoustic imaging. [PDF]
Li S +8 more
europepmc +1 more source

