Results 81 to 90 of about 334,200 (306)
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
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 +2 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
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
Graphene–Catechol Dental Sealant: Antibacterial and Mechanical Evaluation
This study presents dental sealants made with graphene and L‐DOPA‐modified graphene. L‐DOPA enhances graphene dispersion, improving sealant properties. The material shows antibacterial activity against S. mutans and L. casei, along with high strength and elasticity.
Renata Pereira +6 more
wiley +1 more source
Background Human immunodeficiency virus (HIV) disproportionately impacts minority youth. Interventions to decrease HIV sexual risk are needed. Objective We hypothesized that an engaging theory-based digital health intervention in the form of an ...
Farah Ahmad +4 more
semanticscholar +1 more source
This study identifies 12 wt% indium (In) as the optimal composition for Sn0.5Ag0.7Cu5Bi solder joints, achieving 87% ductile fracture and 81% suppression of intermetallic compound (IMC) growth versus 4 wt% In. High‐In alloys (15–17 wt%) show abnormal IMC thickening due to thermal activation.
Liuwei Wang +11 more
wiley +1 more source
Application of Game Theory to Neuronal Networks
The paper is a theoretical investigation into the potential application of game theoretic concepts to neural networks (natural and artificial). The paper relies on basic models but the findings are more general in nature and therefore should apply to ...
A. Schuster, Y. Yamaguchi
semanticscholar +1 more source
This study explores the ablation efficiency and surface quality of laser‐treated stainless steel alloys (AISI 304, AISI 420, and AISI 316Ti) using an ultrashort pulsed laser and varying burst parameters (MHz, GHz, and Bi‐burst). Both ablation rates and surface quality parameters are determined, including isotropy surface roughness values, highlighting ...
Dirk Obergfell +2 more
wiley +1 more source
Improved Strength and Corrosion Resistance of Ti–50Zr Alloy Through Heat Treatment
This work systematically analyzes the effects of heat treatment on mechanical properties and corrosion behavior of Ti‐50Zr alloy produced via vacuum arc melting. Microstructure transforms from coarse lamellar α phase in as‐cast condition to fine and uniformly distributes acicular α′ phase in heat‐treatment state.
Yuhua Li +7 more
wiley +1 more source
Background: Despite the growth of gaming disorders globally, evidence of the formal involvement of family in treating gaming disorders is limited. When children are affected by gaming disorder, the family may encounter challenges in managing the behavior and in the lack of information regarding the gaming disorder, resulting in inconsistent parenting ...
Samyuktha Prabhu +4 more
openaire +1 more source

