Results 181 to 190 of about 858,534 (320)

Photo‐Excitations in Halide Perovskites: Where Do Simulations and Experiments Meet?

open access: yesLaser &Photonics Reviews, EarlyView.
Aiming to bridge the gap between simulations and measurements of light–matter couplings and photo‐excitations in new functional materials, this perspective highlights insights and bottlenecks of state‐of‐the‐art experimental and theoretical methods (2D electronic spectroscopy vs.
Muhammad Sufyan Ramzan   +5 more
wiley   +1 more source

Machine Learning Prediction of Raster Angle Effects on Mechanical Properties of Extrusion‐Based Additively Manufactured Conductive Thermoplastic Polyurethane Composites

open access: yesMacromolecular Materials and Engineering, EarlyView.
This study integrates machine learning (ML) and high‐fidelity experiments to model how raster angle influences the mechanical properties of fused filament fabricated conductive TPU composites. Using Poly6 and SVR models, the approach accurately predicts stiffness, strength, and ductility.
Imran Khan, Ans Al Rashid, Muammer Koç
wiley   +1 more source

How to Conduct a Multi‐Domain Systematic (Literature) Review? Guidelines Using The Lotus Protocol

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Complex challenges increasingly demand multidisciplinary research across intersecting knowledge domains. However, existing systematic (literature) review protocols offer limited guidance and tend to confine scholars to single‐domain or single‐intersection reviews.
Bart J. A. van Bueren   +6 more
wiley   +1 more source

Designing High‐Entropy Alloys With Low Stacking Fault Energy Through Interpretable Machine Learning

open access: yesMaterials Genome Engineering Advances, EarlyView.
In this study, we developed an interpretable machine learning (ML) ensemble framework and, by integrating the VEC criterion with the proposed machine learning scoring parameter in the alloy composition screening process, successfully designed multiple CoCrFeNiMn‐based HEAs with TWIP/TRIP effects and without the BCC phase.
Shuai Nie   +6 more
wiley   +1 more source

On the Mean‐Field Limit of Consensus‐Based Methods

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley   +1 more source

Ineffectiveness of meat inspection in the detection of Taenia solium cysticerci in pigs slaughtered at two abattoirs in the Eastern Cape Province of South Africa.

open access: yesVeterinary Parasitology: Regional Studies and Reports, 2019
M. Sithole   +3 more
semanticscholar   +1 more source

High‐Resolution Diffusion‐Weighted Imaging With Self‐Gated Self‐Supervised Unrolled Reconstruction

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose High‐resolution diffusion‐weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self‐supervised algorithm unrolling technique for submillimeter‐resolution DWI. Methods We developed submillimeter DWI acquisition utilizing multi‐band multi‐shot EPI with diffusion shift encoding.
Zhengguo Tan   +4 more
wiley   +1 more source

Flexible distribution of tasks in meat inspection – A pilot study

open access: yesFood Control, 2019
N. Arzoomand   +4 more
semanticscholar   +1 more source

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