Results 101 to 110 of about 59,983 (235)

Editors’ Favorites of 2017 [PDF]

ACS Chemical Neuroscience, 2018
Craig W. Lindsley, Kathryn A. Cunningham, Jacob M. Hooker, Anne M. Andrews   +3 more
openaire   +3 more sources

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Editors’ Favorites of 2016 [PDF]

ACS Chemical Neuroscience, 2017
Craig W. Lindsley, Jacob M. Hooker, Kathryn A. Cunningham, Anne M. Andrews   +3 more
openaire   +3 more sources

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

Favoritism in Vertical Relationship: Input Prices and Access Quality [PDF]

Favoritism in vertical relationship is a situation in which an upstream firm sets favorable exchange conditions to some agents at the expense of others. This paper explores the reason for, and direction of, favoritism in the vertical relationship between
Antoine Soubeyran, Ngo Van Long
core  

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

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
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, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

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

The effect of incidental name similarity on favoritism in the Chinese financial market. [PDF]

Sci Rep
Mao K, Lu H, Wang SJ.
europepmc   +1 more source

Facile Synthesis of CuxS Electrocatalysts for CO2 Conversion into Formate and Study of Relations Between Cu and S with the Selectivity

Advanced Functional Materials, EarlyView.
Copper sulfide based electrocatalysts for CO2 conversion are selective for production of formate as major product. Transformations under electrochemical conditions result in significant sulfur loss, and this study examines the nature of how persistent, residual sulfur (observed as surface SO42– species and S dissolved in the electrolyte) can sustain ...
Sasho Stojkovikj, Gumaa A. El‐Nagar, Siddharth Gupta, Metodija Najdoski, Violeta Koleva, Theocharis Tzanoudakis, Frederik Firschke, Peter Bogdanoff, Matthew T. Mayer   +8 more
wiley   +1 more source