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Beta transus prediction of titanium alloys through integration of artificial neural network and multifactor dimensionality reduction analyses 基于人工神经网络与多因素降维分析相结合的钛合金β transsus预测
Pub Date : 2015-06-01 DOI: 10.1016/J.MD.2016.01.001
P. S. N. Banu, S. Rani
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引用次数: 3
Electrical resistivity studies of Cr doped Mg nano-ferrites Cr掺杂Mg纳米铁氧体的电阻率研究
Pub Date : 2015-06-01 DOI: 10.1016/j.md.2016.05.001
M. Raghasudha , D. Ravinder , P. Veerasomaiah

Chromium doped magnesium nano ferrites with the formula MgCrxFe2−xO4 (0  x  1) were prepared using the citrate-gel method. The electrical resistivity (ρ) was measured in the temperature range of 200–700 °C and was found to decrease with an increase in temperature ensuring the semiconducting nature of the prepared ferrites. The corresponding activation energies for conduction were obtained from the plot of log ρ vs. 1000/T for all of the compositions, which display two slopes of separate regions. It was found that the activation energy was higher in the paramagnetic region than in the ferromagnetic region. With an increase in Cr composition, the electrical resistivity was found to decrease.

采用柠檬酸盐凝胶法制备了铬掺杂镁纳米铁氧体,其化学式为MgCrxFe2−xO4(0≤x≤1)。电阻率(ρ)是在200–700°C的温度范围内测量的,发现随着温度的升高而降低,确保了制备的铁氧体的半导体性质。从所有成分的logρ与1000/T的关系图中获得了相应的传导活化能,显示了两个独立区域的斜率。研究发现,顺磁区的活化能高于铁磁区。随着Cr成分的增加,电阻率降低。
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引用次数: 30
Adsorption and corrosion inhibition characteristics of some organic molecules containing methoxy phenyl moiety on mild steel in hydrochloric acid solution 含甲氧基苯基部分的有机分子在盐酸溶液中对低碳钢的吸附和缓蚀特性
Pub Date : 2015-06-01 DOI: 10.1016/J.MD.2016.03.005
D. M. Gurudatt, K. Mohana, H. C. Tandon
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引用次数: 13
Adsorption and corrosion inhibition characteristics of some organic molecules containing methoxy phenyl moiety on mild steel in hydrochloric acid solution 一些含甲氧基苯基的有机分子在软钢上在盐酸溶液中的吸附和缓蚀特性
Pub Date : 2015-06-01 DOI: 10.1016/j.md.2016.03.005
Doddahosuru M. Gurudatt , Kikkeri N. Mohana , Harmesh C. Tandon

The influence of three newly synthesized molecules on the corrosion inhibition of mild steel in acid media is studied. From Tafel slopes, it is evident that the anodic reaction is more polarized. Impedance study reveals that the increase in Rct values can be attributed to the formation of a protective film and the decrease in Cdl values is due to an increase in the thickness of the electrical double layer. Total energy, EHOMO and softness are in the order of 3-MPTT > 4-AMTT > 3-MAH and dipole moment, ELUMO, energy gap, ionization potential and hardness are in the order of 3-MPTT < 4-AMTT < 3-MAH.

研究了三种新合成的分子对低碳钢在酸性介质中缓蚀性能的影响。从Tafel斜率可以明显看出,阳极反应更加极化。阻抗研究表明,Rct值的增加可归因于保护膜的形成,而Cdl值的降低是由于双电层厚度的增加。总能量、EHOMO和柔软度在3-MPTT>;4-AMTT>;3-MAH和偶极矩、ELUMO、能隙、电离势和硬度的顺序为3-MPTT<;4-AMTT<;3个小时。
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引用次数: 13
Beta transus prediction of titanium alloys through integration of artificial neural network and multifactor dimensionality reduction analyses 人工神经网络与多因素降维分析相结合预测钛合金贝塔系数
Pub Date : 2015-06-01 DOI: 10.1016/j.md.2016.01.001
P.S. Noori Banu, S. Devaki Rani

To predict beta transus of titanium alloys, artificial neural network (ANN) and multiple linear regression (MLR) models were developed based on the alloy composition. Mo, V, Zr, Cr, Fe, Al, Si and O were the principle determinants of beta transus. The ‘r2’ (92.0% vs. 90.7%) and mean predicted error [training (1.4% vs. 2.8%) and testing (2% vs. 2.4%)] pattern in ANN and MLR models suggest superior performance of ANN model. Multifactor dimensionality reduction analysis showed interactions among Al, O and Cr, which were confirmed by the ANN model. The positive association of beta transus with aluminium equivalent and inverse association with molybdenum equivalent was demonstrated.

为了预测钛合金的β转变,基于合金成分建立了人工神经网络(ANN)和多元线性回归(MLR)模型。Mo、V、Zr、Cr、Fe、Al、Si和O是β转变的主要决定因素。ANN和MLR模型中的“r2”(92.0%对90.7%)和平均预测误差[训练(1.4%对2.8%)和测试(2%对2.4%)]模式表明ANN模型具有优越的性能。多因素降维分析显示了Al、O和Cr之间的相互作用,这一点得到了ANN模型的证实。β-transus与铝当量呈正相关,与钼当量呈反相关。
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引用次数: 3
Electrical resistivity studies of Cr doped Mg nano-ferrites Cr掺杂Mg纳米铁氧体的电阻率研究
Pub Date : 2015-06-01 DOI: 10.1016/J.MD.2016.05.001
M. Raghasudha, D. Ravinder, P. Veerasomaiah
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引用次数: 29
Growth mechanism of SiGe alloy nanowires synthesized in H-mode cylindrical cavity resonator H型圆柱腔谐振器中合成的SiGe合金纳米线的生长机制
Pub Date : 2015-06-01 DOI: 10.1016/j.md.2016.03.004
Charu Lata Dube , Subhash C. Kashyap , D.C. Dube

In the present paper an attempt has been made to understand the growth mechanism of SiGe alloy nanowires synthesized in H-mode cylindrical microwave cavity resonator at 900 °C in a short time of nearly 5 min. The role of ambience, microwave H-field, duration of interaction with microwaves and germanium concentration in the starting precursor have been investigated. It is believed that H-field of microwaves efficiently interacts with the starting precursor powder in air ambience and results in superheating/supersaturation, which gives rise to the formation of innumerable critical sized nuclei via heterogeneous nucleation, leading to one dimensional growth of cylindrical nanowires.

本文试图了解在900°C的H型圆柱形微波腔谐振器中,在近5min的短时间内合成的SiGe合金纳米线的生长机理。研究了起始前驱体中环境、微波H场、与微波相互作用的持续时间和锗浓度的作用。据信,微波的H场在空气环境中与起始前驱体粉末有效地相互作用,并导致过热/过饱和,这导致通过非均匀成核形成无数临界尺寸的核,导致圆柱形纳米线的一维生长。
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引用次数: 0
A methodology for using Kalman filter to determine material parameters from uncertain measurements 一种利用卡尔曼滤波从不确定测量中确定材料参数的方法
Pub Date : 2015-02-12 DOI: 10.1016/J.MD.2016.03.002
A. Shokry, P. Staahle
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引用次数: 4
Multimodal imaging of harmonophores and application of high content imaging for early cancer detection 骆驼蓬红细胞的多模式成像及高含量成像在癌症早期检测中的应用
Pub Date : 2015-01-01 DOI: 10.1016/j.md.2015.11.002
Anuraag Boddupalli , Kaitlin M. Bratlie
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引用次数: 4
Starting the pathway of Materials Discovery 开启材料发现之路
Pub Date : 2015-01-01 DOI: 10.1016/j.md.2016.03.001
Krishna Rajan
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引用次数: 0
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Materials Discovery
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