Results 71 to 80 of about 1,275,875 (318)
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
On the justification of applying quantum strategies to the Prisoners' Dilemma and mechanism design [PDF]
The Prisoners' Dilemma is perhaps the most famous model in the field of game theory. Consequently, it is natural to investigate its quantum version when one considers to apply quantum strategies to game theory. There are two main results in this paper: 1)
Wu, Haoyang
core
Laser powder‐bed fusion (L‐PBF) can produce dense WE43 magnesium alloy parts, but their mechanical properties are limited by a nonhomogeneous microstructure. This study investigates the effects of varying direct aging (T5) and artificial age‐hardening (T6) conditions on microstructure and strength. Optimized T6 treatment significantly improves strength
Prathviraj Upadhyaya+5 more
wiley +1 more source
Prestraining the substrate influences coating formation process. Higher prestraining force leads to higher coating thickness and lower hardness. Increase in prestraining force enhances preliminary damage in hard anodic coating. Fatigue damage mechanisms change for hard anodized prestrained samples.
Linto George Thomas+4 more
wiley +1 more source
Game theory in entrepreneurship: a review of the literature [PDF]
Purpose – The purpose of this paper is to review the utilization of game theory in the entrepreneurship literature. Game theory can potentially be employed to assess strategies incentivizing productive entrepreneurial activities and subsequent economic ...
Abdallah M.H. AlOmari
doaj +1 more source
Game theory applications in humanitarian operations: a review [PDF]
Purpose – – The purpose of this paper is to summarize ways in which game theory has been or could be utilized within the humanitarian sector and to identify future research opportunities in this field. Game theory is a tool for modeling systems in which
Luke Muggy, Jessica L. Heier Stamm
doaj +1 more source
This study explores combining two existing aerospace titanium alloy powders, processing them via field‐assisted sintering technology and the subsequent discovery of a novel alloy composition, termed S23, with ultra‐high tensile toughness. Fine‐scale alpha precipitates favorably form in the alloy despite the relatively slow cooling, providing an ...
Samuel Lister+2 more
wiley +1 more source
Giffen paradoxes in quantum market games
Recent development in quantum computation and quantum information theory allows to extend the scope of game theory for the quantum world. The paper presents the history and basic ideas of quantum game theory.
Bednarek+15 more
core +1 more source