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Machine learning-driven synthesis of TiZrNbHfTaC_(5) high-entropy carbide

npj Computational Materials 2023年第1期9卷 2293-2303页

作者： Alexander Ya.Pak Vadim sotskov Arina A.Gumovskaya Yuliya Z.Vassilyeva zhanar s.bolatova Yulia A.Kvashnina Gennady Ya.Mamontov Alexander V.shapeev Alexander G.Kvashnin National Research Tomsk Polytechnic University 30 Lenin AvenueTomsk 634050Russia skolkovo Institute of science and Technology Skolkovo Innovation CenterBolshoi Blv.30Building 1Moscow 121205Russia Pirogov Russian National Research Medical University 1 Ostrovityanova St.Moscow 117997Russia

synthesis of high-entropy carbides(HEC)requires high temperatures that can be provided by electric arc plasma ***,the formation temperature of a single-phase sample remains ***,under some temperatures multi-phase structures can *** this work,we developed an approach for a controllable synthesis of HEC TiZrNbHfTaC_(5) based on theoretical and experimental *** used Canonical Monte Carlo(CMC)simulations with the machine learning interatomic potentials to determine the temperature conditions for the formation of single-phase and multi-phase *** full agreement with the theory,the single-phase sample,produced with electric arc discharge,was observed at 2000 *** 1200 K,the sample decomposed into(Ti-Nb-Ta)C,and a mixture of(Zr-Hf-Ta)C,(Zr-Nb-Hf)C,(Zr-Nb)C,and(Zr-Ta)*** results demonstrate the conditions for the formation of HEC and we anticipate that our approach can pave the way towards targeted synthesis of multicomponent materials.

关键词： carbide materials

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I see Bigger World Through Chinese

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China News Release 2023年第8期 63-65页

作者： zhanar Toktarbay Chinese at McGill College in Canada

I am zhanar Toktarbay from ***,I am teaching Chinese at Mc Gill College in Canada.I studied in a number of countries including China,the United states and *** from my native Kazakh,I am fluent in Chinese,English,Russian and Persian.I attended schools and lived in Xinjiang and Northeast China as a ***’s when I formed an unbreakable bond with the Chinese language.

关键词： teaching Canada Northeast

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Modified UNet Model for Brain stroke Lesion segmentation on Computed Tomography Images

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Computers, Materials & Continua 2022年第6期71卷 4701-4717页

作者： Batyrkhan Omarov Azhar Tursynova Octavian Postolache Khaled Gamry Aidar Batyrbekov sapargali Aldeshov zhanar Azhibekova Marat Nurtas Akbayan Aliyeva Kadrzhan shiyapov Al-Farabi Kazakh National University AlmatyKazakhstan International University of Tourism and Hospitality TurkistanKazakhstan Khoja Akhmet Yassawi International Kazakh-Turkish University TurkistanKazakhstan Instituto Universitário de Lisboa LisbonPortugal International Information Technology University AlmatyKazakhstan south Kazakhstan state Pedagogical University ShymkentKazakhstan M.Auezov south Kazakhstan University ShymkentKazakshtan Kazakh-British Technical University AlmatyKazakhstan Asfendiyarov Kazakh National Medical University AlmatyKazakhstan Kazakh National Women’s Teacher Training University AlmatyKazakhstan Abai Kazakh National Pedagogical University AlmatyKazakhstan

The task of segmentation of brain regions affected by ischemic stroke is help to tackle important challenges of modern stroke imaging ***,at the moment,the models for solving this problem using machine learning methods are far from *** this paper,we consider a modified 3D UNet architecture to improve the quality of stroke segmentation based on 3Dcomputed tomography *** use the IsLEs 2018(Ischemic stroke Lesion segmentation Challenge 2018)open dataset to train and test the proposed *** of the obtained results,as well as the ideas for further experiments are included in the *** evaluation is performed using the Dice or f1 score coefficient and the Jaccard *** architecture may simply be extended to ischemia segmentation and computed tomography image identification by selecting relevant *** Dice/f1 score similarity coefficient of our model shown58%and results close to ground truth which is higher than the standard 3D UNet model,demonstrating that our model can accurately segment ischemic *** modified 3D UNet model proposed by us uses an efficient averaging method inside a neural *** this set of IsLEs is limited in number,using the data augmentation method and neural network regularization methods to prevent overfitting gave the best *** addition,one of the advantages is the use of the Intersection over Union loss function,which is based on the assessment of the coincidence of the shapes of the recognized zones.

关键词： stroke ischemic stroke UNet deep learning segmentation IsLEs 2018

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