Results 141 to 150 of about 1,293,379 (340)
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.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
In-flight sleep as a pilot fatigue mitigation on long range and ultra-long range flights : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy at Massey University, Sleep/Wake Research Centre, Wellington, New Zealand [PDF]
, 2016 Objectives: Long range flights operate around the clock with long duty periods for pilots. To mitigate the effects of fatigue, these flights are operated by augmented crews, providing each pilot with the opportunity for sleep in on-board rest ...
Zaslona, Jennifer L
core
Pilot Clustering in Asymmetric Massive MIMO Networks
, 2015 We consider the uplink of a cellular massive MIMO network. Since the spectral efficiency of these networks is limited by pilot contamination, the pilot allocation across cells is of paramount importance. However, finding efficient pilot reuse patterns is
Bengtsson, Mats +2 more
core +1 more source
Machine Learning Applied to High Entropy Alloys under Irradiation
Advanced Engineering Materials, EarlyView.Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour +8 more
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.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 Manual Flight Skill of Airline Pilots [PDF]
, 2011 The manual flight ability of commercial airline pilots has been scrutinized after several aviation disasters in the first decade of the 21st century where pilot error has been a contributing cause.
Puentes, Antonio
core +1 more source
Development of Aluminum Scandium Alloys for Hydrogen Storage Valves
Advanced Engineering Materials, EarlyView.Different aluminum alloy series and various aluminum‐scandium alloys with differing Sc and Zr levels are evaluated for use in hydrogen storage valve production. The alloys undergo hardness testing, optical microscopy, and tensile strength analysis, with hardening behavior studied under varying conditions.
Francisco García‐Moreno +4 more
wiley +1 more source
Intensive alternatives to custody process evaluation of pilots in five areas [PDF]
, 2012 A qualitative process evaluation of five Intensive Alternative to Custody (IAC) pioneer areas was undertaken to assess implementation of IAC, identify approaches to implementation and capture the lessons learnt.
Ellingworth, Daniel +3 more
core
Advanced Engineering Materials, EarlyView.This study designs Ta–Mo–Cr–Ti–Al refractory high‐entropy alloys with a disordered body‐centered‐cubic A2 crystal structure aiming for improved ductility, lower density, and oxidation resistance. Four alloy compositions are identified by thermodynamic calculations.
Kateryna Khanchych +7 more
wiley +1 more source