Results 121 to 130 of about 67,239 (298)

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Evidence for Non‐Stationarity in the GEV Shape Parameter When Modeling Extreme Rainfall

Water Resources Research
It is now well established that climate change is increasing the intensity of extreme rainfall. What is less well established is how best to model these changes.
Lalani Jayaweera, Conrad Wasko, Rory Nathan   +2 more
doaj   +1 more source

Regional Flood Frequency Analysis Using L-Moments Based on Clustering in Urmia Lake Basin [PDF]

علوم و مهندسی آبیاری, 2012
For determining homogeneous regions and estimation of maximum flood in various return periods, cluster method and regional frequency analysis using linear moments are used in areas without hydrometric stations.
Farshad Fathian, Hojjat Ahmadzadeh
doaj  

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

A Spatial Risk Analysis of Springtime Daily Minimum Surface Air Temperature Values for Vineyard Site Selection: Applications to Pinot noir Grapevines throughout the Willamette Valley American Viticultural Area

Agronomy
This study introduced the application of concepts and methods from extreme value theory (EVT) to estimate the probability that daily minimum temperatures exceed springtime critical temperature thresholds for Pinot noir buds and young shoots as a function
Brian Skahill, Bryan Berenguer, Manfred Stoll   +2 more
doaj   +1 more source

Programmable Stepwise Heteroepitaxial Growth of Colloidal Crystals With Different Phases

Advanced Materials, EarlyView.
Stepwise heteroepitaxial growth is adapted to colloidal crystal engineering with DNA, enabling face‐centered cubic (fcc) facets to grow on body‐centered cubic (bcc) crystals with 110 facets. This approach tolerates large lattice mismatches, extending heteroepitaxy beyond the limits of conventional atomic systems.
Xiaowei Liu, Yuanwei Li, Ramin Yazdaanpanah, Ye Zhang, Rachel R. Chan, Xiaobing Hu, Yiming Yang, Vinayak P. Dravid, Koray Aydin, Chad A. Mirkin   +9 more
wiley   +1 more source

Improving Modeling of Extreme Events using Generalized Extreme Value Distribution or Generalized Pareto Distribution with Mixing Unconditional Disturbances [PDF]

, 2001
In this paper an alternative non-parametric historical simulation approach, the Mixing Unconditional Disturbances model with constant volatility, where price paths are generated by reshuffling disturbances for S&P 500 Index returns over the period 1950 -
Suarez, R
core  

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Are realized volatility models good candidates for alternative Value at Risk prediction strategies? [PDF]

In this paper, we assess the Value at Risk (VaR) prediction accuracy and efficiency of six ARCH-type models, six realized volatility models and two GARCH models augmented with realized volatility regressors.
Refenes, Apostolos P., Louzis, Dimitrios P., Xanthopoulos-Sisinis, Spyros   +2 more
core   +1 more source

Modelling of catastrophic losses [PDF]

, 2012
Catastrophe modelling is a risk management tool that uses computer technology to help insurers, reinsurers and risk managers better assess the potential losses caused by natural and man-made catastrophes.
Pacáková, Viera, Kubec, Lukáš
core   +1 more source