Results 91 to 100 of about 927,204 (249)

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
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, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

ProcessDriver: A Computational Pipeline to Identify Copy Number Drivers and Associated Disrupted Biological Processes in Cancer [PDF]

, 2017
Copy number amplifications and deletions that are recurrent in cancer samples harbor genes that confer a fitness advantage to cancer tumor proliferation and survival.
Baur, Brittany, Bozdag, Serdar
core   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

Advanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle, Humberto Terrones, Carlos González   +2 more
wiley   +1 more source

Some optimal criteria of model-robustness for two-level non-regular fractional factorial designs [PDF]

arXiv, 2009
We present some optimal criteria to evaluate model-robustness of non-regular two-level fractional factorial designs. Our method is based on minimizing the sum of squares of all the off-diagonal elements in the information matrix, and considering expectation under appropriate distribution functions for unknown contamination of the interaction effects ...
arxiv  

Adjustable Plasmonic Core–Shell Nanoparticles for Personalized Color Vision Correction

Advanced Engineering Materials, EarlyView.
This study introduces a personalized solution for correcting color vision deficiency (CVD) by embedding tunable core‐shell metal nanoparticles—a common nanotechnology—into contact lenses. By customizing the nanoparticles’ optical properties to filter specific wavelengths, these lenses address individual visual impairments, enhancing color ...
Hyeonah Lee, Yejin Park, Mijin Kim, Myungsung Sim, Hyeran Noh   +4 more
wiley   +1 more source

An Examination of Aerosol Jet‐Printed Surface Roughness and its Impact on the Performance of High‐Frequency Electronics

Advanced Engineering Materials, EarlyView.
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley   +1 more source

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

Advanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi, Munevver Akdeniz, Awel Olsido Ahmed, Mine Altunbek, Omer Aydin   +4 more
wiley   +1 more source

Evaluating Dielectric Properties for Semicrystalline Thermoplastics to Analyze the Thermal and Rheological Properties in Laser‐Based Powder Bed Fusion of Plastics

Advanced Engineering Materials, EarlyView.
This study aims to establish a link between the dielectric properties of polyamide 12 (PA12) and its thermal and rheological properties using dielectric analysis (DEA). A standardized methodology is introduced to determine melting and crystallization temperatures.
Benedikt Burchard, Joseph Hofmann, Katrin Wudy   +2 more
wiley   +1 more source

Conducting Polymer Microelectrode Arrays for Simultaneous Electrophysiology and Advanced Brain Imaging

Advanced Functional Materials, EarlyView.
A flexible micro‐electrocorticography array with PEDOT:SS electrodes is shown to be compatible with ultra‐high magnetic field MRI up to 9.4 T. Multimodal brain monitoring is demonstrated by performing simultaneous blood oxygen level‐dependent functional MRI in parallel with electrophysiology.
Sagnik Middya, Alejandro Carnicer‐Lombarte, Stephen Sawiak, Sam Hilton, Vincenzo F Curto, Damiano G Barone, Gabriele S Kaminski Schierle, George G Malliaras   +7 more
wiley   +1 more source