Results 71 to 80 of about 1,521 (193)

Optimum Cross‐Sections for Wurtzite‐Structure Nanowires From Analytic Thermodynamic and Crystallographic Arguments

Advanced Theory and Simulations, Volume 9, Issue 6, June 2026.
Using the analytic cross‐section morphing of wurtzite nanowires to arbitrary shapes (König, Bian, Fu, and Smith, Adv. Theo. Simul. 2025, 8 2400951), the cross‐section shape with the maximum number of nanowire‐internal bonds per nanowire atom is derived, representing the most stable intrinsic crystalline form (structural‐thermodynamic optimum).
Dirk König, Yue Bian, Yuzi Song, Lan Fu, Sean C. Smith   +4 more
wiley   +1 more source

Multimodal Multiorgan‐on‐a‐Chip Platform for Probing Liver‐Tumor Interactions and Advancing Prodrug Screening

Advanced Science, Volume 13, Issue 34, 19 June 2026.
This work introduces a multimodal multi‐OoC platform that overcomes current limitations in liver‐tumor interaction studies and prodrug screening. By integrating dynamic microfluidic circuits, electrochemical sensing, and mass analysis, this platform enables non‐invasive, longitudinal monitoring of drug metabolism and hepatotoxicity, offering a ...
Dan Wang, Yisong Huang, Weijian Zhao, Tian Chen, Siyu Bai, Denghui Guo, Mengying Wang, Yaoyao Zhao, Liang Zhao, Guangsheng Guo, Xiayan Wang   +10 more
wiley   +1 more source

Influence of connection configuration on the punching resistance of CFST column-RC slab systems under eccentric loading. [PDF]

Sci Rep
Ghalla M, Bazuhair RW, Mahfouz YMB, Badawi MA, Shahin RI, Altobgy MA.   +5 more
europepmc   +1 more source

Climatic, lithologic and topographic control on alpine rock fracturing and talus evolution

Earth Surface Processes and Landforms, Volume 51, Issue 6, June 2026.
Investigating Holocene rockwall–talus systems in an Alpine valley revealed that lithologic and topographic conditions in concert with climatic‐driven stresses and time since deglaciation result in rockwall fracture patterns that control rockfall size, erosion rates and the characteristics and evolution of talus.
Daniel Draebing, Sterre A. M. Brouns, Steven A. Binnie, Tjalling de Haas, Samuel T. McColl   +4 more
wiley   +1 more source

Design optimization and performance evaluation of semi-prefabricated UHPC-RC metro station structures. [PDF]

Sci Rep
Lei G, Hua F, Yang Z, Jiang F, Zhu J.
europepmc   +1 more source

Simulation of Soil Water Content in Clayey Soils Where Dissolution and Precipitation of Pedogenic Carbonates Impact the Accuracy of Sensors Measuring Soil Water Content

Hydrological Processes, Volume 40, Issue 6, June 2026.
This study deals with limitations of frequency domain reflectometry sensors, including data drift, when monitoring clayey soils with pedogenic carbonates. Despite these inaccuracies, the results demonstrate that corrected measurements of soil water content can still successfully calibrate hydrological models.
Katarina Matan, Kristina Krklec, Aleksandra Bensa, David Domínguez‐Villar   +3 more
wiley   +1 more source

Innovative Cross-Shaped SRC Column-RC Slab Connection: Experimental Investigation and Finite Element Analysis of Punching Shear Behavior. [PDF]

Materials (Basel)
Zhang W, Xue J, Xu J, Li B.
europepmc   +1 more source

Evolution of Pore Fluid Pressure in an Accretionary Outer Wedge Over Megathrust Earthquake Cycles: The Northern Cascadia Example

New Zealand Journal of Geology and Geophysics, Volume 69, Issue 2, June 2026.
The evolution of pore fluid pressure ( Pf$P_{\mathrm{f}}$) in the most seaward portion of a subduction accretionary prism plays an essential role in the cycle of tsunamigenic earthquakes. Based on recent geophysical observations, here we propose a testable conceptual model for this evolution for northern Cascadia offshore of Washington.
Tianhaozhe Sun, Kelin Wang
wiley   +1 more source

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA. [PDF]

J Comput Graph Stat
Kang J, Stephens M.
europepmc   +1 more source

A General Framework for Knowledge Integration in Machine Learning for Electromagnetic Scattering Using Quasinormal Modes

Laser &Photonics Reviews, Volume 20, Issue 11, 5 June 2026.
Neural networks can accelerate modeling and inverse design of electromagnetic devices by several orders of magnitude, but usually require large amounts of data to train. This work demonstrates that integrating knowledge about quasinormal modes into the network architecture reduces the required amount of training data significantly, while simultaneously
Viktor A. Lilja, Albin J. Svärdsby, Timo Gahlmann, Philippe Tassin   +3 more
wiley   +1 more source