Results 71 to 80 of about 187,018 (291)

Development of a Novel Processing Route for Dispersoid/Precipitation‐Strengthened High Conductive Copper Alloys by Using Metalized Nanoceramics in Additive Manufacturing

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores a process chain to produce dispersoid‐strengthened CuCr1Zr for applications requiring high strength and conductivity. Using gas‐atomized powder and copper‐plated alumina nanoparticles, additive manufacturing is performed via powder bed based additive manufacturing with green and red lasers, followed by heat treatment.
Heinrich von Lintel   +7 more
wiley   +1 more source

The effects of oil price uncertainty on economic activities in South Africa

open access: yesCogent Economics & Finance, 2018
This paper investigates the link between oil price uncertainty shocks and key macroeconomic indicators of a net oil importing country, South Africa. Monthly data covering the period 1990:01 to 2015:12 is used.
Junior T. Chiweza, Goodness C. Aye
doaj   +1 more source

Trans‐Conductive Melt Pool Scaling and its Implications for Parameter Transfer in Laser Powder Bed Fusion for Metals with High Thermal Diffusivity

open access: yesAdvanced Engineering Materials, EarlyView.
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring   +2 more
wiley   +1 more source

Returns and volatility spillover between Asian equity markets: A wavelet approach [PDF]

open access: yesEkonomski Anali, 2017
We analyse return and volatility spillover across select Asian equity markets using wavelet multiple correlation and cross-correlation. For the purpose of analysis, daily return data is taken from equity markets, viz.
Kumar Anoop S., Kamaiah B.
doaj   +1 more source

Analysis of Temperature and Stress Distribution on the Bond Properties of Hybrid Tailored Formed Components

open access: yesAdvanced Engineering Materials, EarlyView.
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek   +7 more
wiley   +1 more source

Volatility has to be rough [PDF]

open access: yesarXiv, 2020
First, we give an asymptotic expansion of short-dated at-the-money implied volatility that refines the preceding works and proves in particular that non-rough volatility models are inconsistent to a power law of volatility skew. Second, we show that given a power law of volatility skew in an option market, a continuous price dynamics of the underlying ...
arxiv  

A Perspective on Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed Stainless Steels

open access: yesAdvanced Engineering Materials, EarlyView.
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker   +5 more
wiley   +1 more source

Unravelling the Asymmetric Volatility Puzzle: A Novel Explanation of Volatility Through Anchoring [PDF]

open access: yes, 2016
This paper discusses a novel explanation for asymmetric volatility based on the anchoring behavioral pattern. Anchoring as a heuristic bias causes investors focusing on recent price changes and price levels, which two lead to a belief in continuing trend and mean-reversion respectively.
arxiv   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced 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

Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility [PDF]

open access: yesReview of Economics and Statistics, 2015
Abstract Using estimators of the variation of positive and negative returns (realized semivariances) and high-frequency data for the S&P 500 Index and 105 individual stocks, this paper sheds new light on the predictability of equity price volatility.We showthat future volatility is more strongly related to the volatility of past negative returns than ...
Andrew J. Patton, Kevin Sheppard
openaire   +3 more sources

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