Results 121 to 130 of about 1,171,440 (255)
A hybrid system for de‐icing made of gradient polymer coatings, deposited on aluminum coupled with an electromechanical system, is demonstrated as an effective and durable strategy for reducing drastically ice adhesion. The system is capable of detaching ice blocks over the coating in less than 1 s, regardless of the ice type and covered area ...
Gabriel Hernández Rodríguez+8 more
wiley +1 more source
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
Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing
By additions of strengthening elements and/or structure optimization, the mechanical properties of copper can be increased while keeping favorable electric conductivity. By combining addition of La2O3 and processing by equal channel angular pressing, substructure development is achieved, leading to increase in microhardness to more than double the ...
Lenka Kunčická+2 more
wiley +1 more source
How Random Are Ergodic Eigenstates of the Ultrametric Random Matrices and the Quantum Sun Model? [PDF]
We numerically study the extreme-value statistics of the Schmidt eigenvalues of reduced density matrices obtained from the ergodic eigenstates. We start by exploring the extreme value statistics of the ultrametric random matrices and then the related Quantum Sun Model, which is also a toy model of avalanche theory.
arxiv
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
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
What happens when 32 labs join forces to study nanoparticle‐modified powders? A data‐driven journey through laser powder bed fusion—now openly accessible for the entire additive manufacturing community—is studied. Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving ...
Ihsan Murat Kuşoğlu+73 more
wiley +1 more source
This network meta-analysis aims to compare the clinical efficacy of seven non-surgical therapies for peri-implant disease, including laser treatment, photobiomodulation therapy (PBMT), photodynamic therapy (PDT), systemic antibiotics (SA), probiotics ...
Yingjie Bai+4 more
doaj +1 more source
Previous studies on additive manufacturing primarily focus on the mechanical properties of as‐printed components. In the present work, researchers explore the potential of employing novel thermomechanical postprocessing techniques to improve the microstructure after printing.
Radim Kocich+3 more
wiley +1 more source
Periodic submicron features are fabricated on 304 stainless steel using single and double femtosecond laser pulses. By adjusting polarization, fluence, and inter‐pulse delay, 1D and 2D nanostructures are formed. Enhanced hydrophobicity and dense surface‐enhanced Raman spectroscopy hotspots enable analyte detection down to 10−10 M with good ...
Balaji Baskar+3 more
wiley +1 more source