Results 181 to 190 of about 378,419 (338)

Multiscale Coupling Between Macroscopic Mechanics and Atomic Assembly (MM–AA) of Soft‐Lattice Halide Perovskites

open access: yesAggregate, EarlyView.
This review clarifies the multiscale coupling mechanisms between macroscopic mechanics (e.g., surface tension, fluid shear, interfacial stress) and atomic assembly, highlighting the importance of mechanical regulation in suppressing solute aggregation and guiding crystal orientation.
Xiangzhe Li   +5 more
wiley   +1 more source

De Novo Design of High‐Affinity Miniprotein Binders Targeting Francisella Tularensis Virulence Factor

open access: yesAngewandte Chemie, EarlyView.
Hybrid physics and deep‐learning enabled design methods identified miniprotein binders to Flpp3 (Francisella‐like lipoprotein), a key virulence factor from Francisella tularensis. Multiple candidates with nanomolar to picomolar binding affinities were obtained using yeast surface display screening and further experimental optimization.
Gizem Gokce‐Alpkilic   +18 more
wiley   +2 more sources

Microscopic characterization of level 3 surgical masks in a simulation model of dental care: a preliminary study. [PDF]

open access: yesBMC Oral Health
Prado M   +8 more
europepmc   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

open access: yesAdvanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu   +7 more
wiley   +1 more source

Monte Carlo simulation of multiple scattered light in the atmosphere

open access: yes, 2013
We present a Monte Carlo simulation for the scattering of light in the case of an isotropic light source. The scattering phase functions are studied particularly in detail to understand how they can affect the multiple light scattering in the atmosphere.
Colombi, J., Louedec, K.
core   +1 more source

Quantifying Printing Quality for Printed Electrodes via Deep Learning and Spatial Association: Empowering Process Optimization

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a method to quantify the printing quality of roll‐to‐roll gravure‐printed electronics by combining deep learning and spatial association analysis. The proposed approach enables real‐time objective evaluation of printing quality, and optimizes process conditions through response surface methodology. It significantly enhances printing
Juhuhn Kim   +6 more
wiley   +1 more source

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