Персона: Рябов, Павел Николаевич
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Институт лазерных и плазменных технологий
Стратегическая цель Института ЛаПлаз – стать ведущей научной школой и ядром развития инноваций по лазерным, плазменным, радиационным и ускорительным технологиям, с уникальными образовательными программами, востребованными на российском и мировом рынке образовательных услуг.
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- ПубликацияОткрытый доступUsing Machine Learning to predict survival in patients with brain metastases after Gamma Knife radiosurgery(2019) Banov, S.; Golanov, A.; Kostjuchenko, V.; Dalechina, A.; Vazhenin, G.; Ryabov, P.; Рябов, Павел Николаевич© 2019 Published under licence by IOP Publishing Ltd.In this work machine learning approach was used to predict the patients overall survival after Gamma Knife radiosurgery. We constructed the regression and multiclass classification models to predict the time interval from the onset of the oncological disease to the unfavourable outcome and the patient's survival class. The models were built on data of 916 patients with 26 different primary features. The train set included patients with known clinical outcomes (445 patients). The median deviation in determining of the time from the onset of cancer to the date of death was 1.4 months. According to the regression model the most significant feature was the largest volume of the lesion by the date of the first radiosurgery. The most important feature was identified as the time interval from the date of birth to the onset of the oncological disease. The mean accuracy, according to the confusion matrix was 0,76. The accuracy of the study can be improved by the increasing of the patients number and completeness of the patient data.
- ПубликацияОткрытый доступStatistical features of plastic flow localization in materials(2019) Kudryashov, N. A.; Muratov, R. V.; Ryabov, P. N.; Кудряшов, Николай Алексеевич; Муратов, Родион Владимирович; Рябов, Павел Николаевич© 2019 Published under licence by IOP Publishing Ltd.We consider the processes of plastic flow localization in dipolar materials undergoing high speed shear deformations. The mathematical model of the processes of plastic flow localization is formulated taking into account dipolar effect. We introduce the numerical algorithm which is based on adaptive mesh refinement technique. We show that this algorithm allows to increase performance of computations. We also studied the statistical properties of shear bands formation. We show that dipolar effect changes average characteristics of the processes considered such as average temperature, stress and etc. Moreover this effect leads to increase in initiation time, changes the widths of localization zones and distances between them.
- ПубликацияТолько метаданныеOn collective behavior of shear bands in dipolar HY-100 steel and OFHC copper(2019) Kudryashov, N. A.; Muratov, R. V.; Ryabov, P. N.; Кудряшов, Николай Алексеевич; Муратов, Родион Владимирович; Рябов, Павел Николаевич© 2019 Author(s).The collective behavior of adiabatic shear bands in dipolar HY-100 steel and OFHC copper is studied. The mathematical model is formulated. The numerical algorithm which is based on the spiting method is suggested. This algorithm allows one to simulate the process of multiple or single band evolution taking into account dipolar effects. Also the method of dynamical adaptation of spatial grid nodes is applied in proposed numerical algorithm. The verification procedure was performed to show the efficiency and accuracy of proposed numerical method. The statistical properties of the processes of multiple shear bands formation in dipolar steel and copper are studied.
- ПубликацияОткрытый доступЧисленное моделирование процессов самоорганизации при ионной бомбардировке подложки и при образовании полос адиабатического сдвига в материалах(НИЯУ МИФИ, 2011) Рябов, П. Н.; Рябов, Павел Николаевич; Кудряшов, Н. А.