Results 71 to 80 of about 6,756 (278)
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
In this manuscript, the processability of X2CrNiMo17‐12‐2 powder coated with silicon carbide, silicon, and silicon nitride nanoparticles is investigated. The amount of nanoparticles varies from 0.25 to 1 vol%. By coating the powder feedstock material with nanoparticles, an enlargement of the process window and an increase in the build rate are achieved.
Nick Hantke+5 more
wiley +1 more source
Exploitation of Heterosis in Pearl Millet: A Review
The phenomenon of heterosis has fascinated plant breeders ever since it was first described by Charles Darwin in 1876 in the vegetable kingdom and later elaborated by George H Shull and Edward M East in maize during 1908.
Rakesh K. Srivastava+6 more
doaj +1 more source
Cultural hybridity and vigor in the decolonised architectural curriculum
Descolonizar o ensino-aprendizagem em Arquitetura requer questionar o que é pertinente a uma sociedade multiracial, multicultural e multiliguistica e ao mesmo tempo adequado a uma disciplina internacionalista. Examinamos conceitos de “descolonização” e “descolonialidade” em seu desenvolvimento, especialmente no hemisfério sul e como eles podem formar ...
Fisher, Roger+2 more
openaire +5 more sources
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke+4 more
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
Seed treatment is a widely disseminated practice in Brazilian cultural areas, which linked to other cultural practices, has contributed to the increase in productivity, cost reduction, final product improvement, environmental damage reduction as well as ...
Rosane Fátima Baldiga Tonin+3 more
doaj +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
Com o presente trabalho, objetivou-se estimar a capacidade combinatória de linhagens de tomate ricas em acilaçúcares (AA) quando cruzadas com linhagens com baixo teor de acilaçúcares e estudar a expressão da heterose nos híbridos obtidos.
Gabriel Mascarenhas Maciel+5 more
doaj +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