Results 71 to 80 of about 175,929 (292)
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Contact Lens with Moiré Patterns for High‐Precision Eye Tracking
Advanced Functional Materials, EarlyView.This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin +11 more
wiley +1 more source
Reconstruction of potential energy profiles from multiple rupture time distributions
, 2010 We explore the mathematical and numerical aspects of reconstructing a potential energy profile of a molecular bond from its rupture time distribution.
Dudko O. K., Freund L. B., Keller H. B.
core +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
Advanced Functional Materials, EarlyView.An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
EngTraditional single-ended traveling wave fault location is sensitive to velocity uncertainty, complex topologies, and variations in the equivalent impedance of converter stations. This paper proposes a fault distance calibration method based on the fusion
Zewen Li +3 more
doaj +1 more source
IEEE Access, 2020 When integrating evolutionary algorithms into the process of the design of modular robots, the “reality gap” problem leads to the difference between simulation and reality.
Yang Liu +4 more
doaj +1 more source
Global optimization via inverse distance weighting and radial basis functions [PDF]
Computational Optimization and Applications, 2020 AbstractGlobal optimization problems whose objective function is expensive to evaluate can be solved effectively by recursively fitting a surrogate function to function samples and minimizing an acquisition function to generate new samples. The acquisition step trades off between seeking for a new optimization vector where the surrogate is minimum ...
openaire +2 more sources
Advanced Functional Materials, EarlyView.A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske +4 more
wiley +1 more source
Journal of Air Pollution and Health, 2020 Introduction: Estimating air pollution levels in areas with no measurements is a major concern in health-related studies. Therefore, the aim of this study was to investigate the amount of exposure to particulate matter below 2.5 μ (PM2.5) in the ...
Kazhal Masroor +6 more
doaj +1 more source
Weak Lensing Reconstruction and Power Spectrum Estimation: Minimum Variance Methods
, 1997 Large-scale structure distorts the images of background galaxies, which allows one to measure directly the projected distribution of dark matter in the universe and determine its power spectrum.
Baugh C. M. +14 more
core +1 more source