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Short-range order and its impact on the CrCoNi medium-entropy alloy 期刊论文
NATURE, 2020, 581 (7808) : 283-+
作者:  Tan, Hwei-Ee;  Sisti, Alexander C.;  Jin, Hao;  Vignovich, Martin;  Villavicencio, Miguel;  Tsang, Katherine S.;  Goffer, Yossef;  Zuker, Charles S.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/03

Traditional metallic alloys are mixtures of elements in which the atoms of minority species tend to be distributed randomly if they are below their solubility limit, or to form secondary phases if they are above it. The concept of multiple-principal-element alloys has recently expanded this view, as these materials are single-phase solid solutions of generally equiatomic mixtures of metallic elements. This group of materials has received much interest owing to their enhanced mechanical properties(1-5). They are usually called medium-entropy alloys in ternary systems and high-entropy alloys in quaternary or quinary systems, alluding to their high degree of configurational entropy. However, the question has remained as to how random these solid solutions actually are, with the influence of short-range order being suggested in computational simulations but not seen experimentally(6,7). Here we report the observation, using energy-filtered transmission electron microscopy, of structural features attributable to short-range order in the CrCoNi medium-entropy alloy. Increasing amounts of such order give rise to both higher stacking-fault energy and hardness. These findings suggest that the degree of local ordering at the nanometre scale can be tailored through thermomechanical processing, providing a new avenue for tuning the mechanical properties of medium- and high-entropy alloys.


Metal alloys consisting of three or more major elemental components show enhanced mechanical properties, which are now shown to be correlated with short-range order observed with electron microscopy.


  
Statistical Learning Methods as a Basis for Skillful Seasonal Temperature Forecasts in Europe 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (17) : 5363-5379
作者:  Kamarainen, Matti;  Uotila, Petteri;  Karpechko, Alexey Yu.;  Hyvarinen, Otto;  Lehtonen, Ilari;  Raisanen, Jouni
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/27
Europe  Principal components analysis  Forecast verification  skill  Seasonal forecasting  Statistical forecasting  Decadal variability  
Isolating the Observed Influence of Vegetation Variability on the Climate of La Plata River Basin 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (14) : 4473-4490
作者:  Chug, Divyansh;  Dominguez, Francina
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
South America  Satellite observations  Principal components analysis  Atmosphere-land interaction  Land use  Vegetation-atmosphere interactions  
A Methodological Approach to Assess the Co-Behavior of Climate Processes over Southern Africa 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (9) : 2483-2495
作者:  Quagraine, Kwesi A.;  Hewitson, Bruce;  Jack, Christopher;  Pinto, Izidine;  Lennard, Christopher
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/26
Antarctic Oscillation  ENSO  Indices  Climate variability  Climatology  Principal components analysis  
Climate conditions and drought assessment with the Palmer Drought Severity Index in Iran: evaluation of CORDEX South Asia climate projections (2070-2099) 期刊论文
CLIMATE DYNAMICS, 2019, 52: 865-891
作者:  Senatore, Alfonso;  Hejabi, Somayeh;  Mendicino, Giuseppe;  Bazrafshan, Javad;  Irannejad, Parviz
收藏  |  浏览/下载:9/0  |  提交时间:2019/04/09
Palmer Drought Severity Index (PDSI)  Principal components analysis (PCA)  RCMs weighting  RCP4  5  CCLM  REMO  GPCC v  7 dataset  CFSR dataset  
Drought Monitoring of Southwestern China Using Insufficient GRACE Data for the Long-Term Mean Reference Frame under Global Change 期刊论文
JOURNAL OF CLIMATE, 2018, 31 (17) : 6897-6911
作者:  Zhao, Chuanpeng;  Huang, Yaohuan;  Li, Zhonghua;  Chen, Mingxing
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Principal components analysis  Regression analysis  Statistics  Time series  Adaptive models  
Regional frequency analysis of extreme rainfall in Sicily (Italy) 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38: E698-E716
作者:  Forestieri, Angelo;  Lo Conti, Francesco;  Blenkinsop, Stephen;  Cannarozzo, Marcella;  Fowler, Hayley J.;  Noto, Leonardo V.
收藏  |  浏览/下载:9/0  |  提交时间:2019/04/09
extreme rainfall  L-moments  principal components analysis  K-means clustering  regionalization  
Influence of regional Arctic sea ice extent on lagged snowfall in the contiguous United States 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (14)
作者:  Kluver, Daria
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/09
snowfall  sea ice  principal components analysis  multiple linear regression  snow  
Determination of trace metals in TSP and PM2.5 materials collected in the Metropolitan Area of Monterrey, Mexico: A characterization study by XPS, ICP-AES and SEM-EDS 期刊论文
ATMOSPHERIC RESEARCH, 2017, 196: 43699
作者:  Gonzalez, Lucy T.;  Longoria Rodriguez, F. E.;  Sanchez-Dominguez, M.;  Cavazos, Aleyda;  Leyva-Porras, C.;  Silva-Vidaurri, L. G.;  Acuna Askar, Karim;  Kharissov, B. I.;  Villarreal Chiu, J. F.;  Alfaro Barbosa, J. M.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Trace metals  PM2.5  Total suspended particles  X-ray photoelectron spectroscopy  Principal components analysis  
Multisite bias correction of precipitation data from regional climate models 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (6)
作者:  Hnilica, Jan;  Hanel, Martin;  Pus, Vladimir
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/09
bias correction  regional climate model  correlation  covariance  multivariate data  multisite correction  principal components  precipitation