Results 141 to 150 of about 3,155,901 (384)
A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli+5 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
Laser-based acceleration for nuclear physics experiments at ELI-NP
As part of the Extreme Light pan-European research infrastructure, Extreme Light Infrastructure − Nuclear Physics (ELI-NP) in Romania will focus on topics in Nuclear Physics, fundamental Physics and applications, based on very intense photon beams. Laser-
Tesileanu O.+7 more
doaj +1 more source
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
Editorial: Advances in Time-Dependent Methods for Nuclear Structure and Dynamics
Lu Guo+5 more
doaj +1 more source
A física da terapia de captura de nêutrons pelo boro
Neste artigo fazemos uma breve exposicão de como um dos conceitos fundamentais da física nuclear fissão nuclear e seus produtos tem aplicação na medicina, na chamada terapia de captura do nêutron pelo boro (BNCT na sigla em inglês).
A.C. Bruno-Machado+2 more
doaj +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
The role of 14 MeV neutrons in light element nucleosynthesis
The 14 MeV neutron induced nuclear reactions which might contribute to better understanding of so-called “cosmological lithium problem” have been discussed.
Valkovic V., Sudac D., Obhodas J.
doaj +1 more source