Results 161 to 170 of about 2,109,221 (325)
An integrated knowledge synthesis of regional ambient monitoring in Canada's oil sands. [PDF]
Roberts DR+9 more
europepmc +1 more source
Highly Non-Linear Optical (NLO) organic crystals [PDF]
This research project involves the synthesis and characterization of organic materials having powerful nonlinear optical (NLO) properties and the growth of highly ordered crystals and monomolecular films of these materials.
Harris, J. Milton
core +1 more source
Anomaly Detection Method for Hybrid Workpieces Using Dynamic Time Warping
Monitoring of hybrid workpieces: when machining hybrid workpieces, unavoidable axial deviations of the material transition zone cause temporal shifts in the process force signals. A new anomaly detection method based on dynamic time warping is proposed to detect material defects.
Berend Denkena+3 more
wiley +1 more source
International health library associations urge the ICMJE to seek information specialists as peer reviewers for knowledge synthesis publications. [PDF]
Iverson S+5 more
europepmc +1 more source
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
What do we know about the impact of the Covid-19 pandemic on hospices? A collaborative multi-stakeholder knowledge synthesis. [PDF]
MacArtney J+11 more
europepmc +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