Results 171 to 180 of about 2,238,851 (367)
The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch+4 more
wiley +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
Deep Multi-Component Neural Network Architecture
Existing neural network architectures often struggle with two critical limitations: (1) information loss during dataset length standardization, where variable-length samples are forced into fixed dimensions, and (2) inefficient feature selection in ...
Chafik Boulealam+4 more
doaj +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
A multimaterial approach is introduced to improve upon auxetic structures by combining two different polymers into the same reentrant honeycomb structure via additive manufacturing. The deformation behavior as well as the resulting Poisson's ratio are thereby improved significantly.
Alexander Engel+2 more
wiley +1 more source
Insight mixed deep neural network architectures for molecular representation
Learning molecular representation is a crucial task in the field of drug discovery, particularly for various specific applications such as predicting molecular properties.
Tianze Zhao+4 more
doaj
Key Trends and Insights in Smart Polymeric Skin Wearable Patches
Intelligent polymers, which respond to various physical and biological stimuli, are explored for the development of skin wearable patches in biomedical applications. Smart polymers, also known as intelligent or stimuli‐responsive polymers, play a crucial role in the development of advanced wearable patches due to their versatility and softness.
Sergio J. Peñas‐Núñez+2 more
wiley +1 more source
A Study on Neural Networks Forecast Model of Deep Excavation Wall Movements
Han-Woo Shin+2 more
openalex +2 more sources
Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir+8 more
wiley +1 more source
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
Wei Li+3 more
semanticscholar +1 more source