Results 101 to 110 of about 4,766,593 (246)

Analysis of Spatiotemporal Variation of Extreme Precipitation Characteristics in Yangtze River Basin

Renmin Zhujiang
Based on the daily precipitation data of 224 meteorological stations in the Yangtze River Basin for a total of 59 years from 1960 to 2018,the Mann-Kendall trend test (M-K) and linear fitting method are used to analyze the temporal variation ...
AI Jiaqi, ZHANG Hairong, GU Xuezhi, XIN Qian, CAO Hui, BAO Zhengfeng, YE Lei   +6 more
doaj  

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Asymptotic Normality of Extreme Value Estimators on C[0,1] [PDF]

Consider n i.i.d. random elements on C[0; 1].We show that under an appropriate strengthening of the domain of attraction condition natural estimators of the extreme-value index, which is now a continuous function, and the normalizing functions have a ...
Lin, T., Einmahl, J.H.J.
core  

Electrolyte Additive Strategies in Aqueous Zn‐Ion Batteries: Recent Advances and Prospects

Advanced Science, EarlyView.
This article provides a comprehensive overview of the current status and future development directions of AZIBs electrolyte additives in three aspects: stabilizing zinc anodes (uniform deposition, inhibition of dendritic crystals), protecting cathodes (structural stability, inhibition of dissolution), and enhancing electrolyte stability (wider ...
Yuanze Yu, Hongmin Liu, Long Fan, Huakun Liu, Shixue Dou, Guoxiu Wang, Nana Wang, Zhongchao Bai   +7 more
wiley   +1 more source

Interannual Variability and Trends in Extreme Precipitation in Dronning Maud Land, East Antarctica

Remote Sensing
This study examines the trends and interannual variability of extreme precipitation in Antarctica, using six decades (1963–2023) of daily precipitation data from Russia’s Novolazarevskaya Station in East Antarctica. The results reveal declining trends in
Lejiang Yu, Shiyuan Zhong, Svetlana Jagovkina, Cuijuan Sui, Bo Sun   +4 more
doaj   +1 more source

Extreme Value Theory as a Theoretical Background for Power Law Behavior [PDF]

Power law behavior has been recognized to be a pervasive feature of many phenomena in natural and social sciences. While immense research efforts have been devoted to the analysis of behavioral mechanisms responsible for the ubiquity of power-law scaling,
Alfarano, Simone, Lux, Thomas
core  

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Extreme Weather Events in Europe: preparing for climate change adaptation [PDF]

, 2013
Fischer, Erich, Murlis, John, Leckebusch C., Gregor, Benestad, Rasmus, Höppe, Peter, Leckebusch, Gregor C., Rios, David, Kundzewicz, Zbigniew, Rezacova, Daniela, Cubasch, Ulrich, Ulbrich, Uwe, Duarte Santos, Filipe, Zerefos, Christos, Iversen, Trond, Benestad, Rasmjus, Santos, Felipe Duarte, Veisz, Ottó, Kundzewicz W., Zbigniew, Schädler, Bruno, Veisz, Ottó Bálint, Hov, Øystein, Donat, M., Kvamstø, Nils Gunar, Gunnar Kvamstø, Nils, Leckebusch, Gregor C.; id_orcid   +24 more
core   +4 more sources

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source