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Issue DateTitleAuthor(s)
2020Machine learning application for magnetohydrodynamic pump researchTarchutkin, N. V.; Smolyanov, I. A.
2020Machine Learning Methods for Predicting the Lattice Characteristics of MaterialsFilanovich, A. N.; Povzner, A. A.
2018Machine Learning Methods in Individual Migration BehaviorHosseini Seyed Iman; Tarasyev, A.
2021Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven DataKhamzin, S.; Dokuchaev, A.; Bazhutina, A.; Chumarnaya, T.; Zubarev, S.; Lyubimtseva, T.; Lebedeva, V.; Lebedev, D.; Gurev, V.; Solovyova, O.
2018Machine learning techniques for short-term solar power stations operational mode planningEroshenko, S.; Khalyasmaa, A.; Snegirev, D.
2019Macro-econometric model for medium-term socio-economic development planning in Vietnam. Part 1: Structure of the modelThanh, D. V.
2019Macro-econometric model for medium-term socio-economic development planning in Vietnam. Part 2: Application of the modelThanh, D. V.
2020Macroeconomic aspects of maintenance optimization of critical infrastructuresTimashev, S. A.; Bushinskaya, A. V.
2017Macroeconomic determinants of the entrepreneurial activity at different business cycle phasesAntsygina, A. L.; Zhukov, A. N.; Sypchenko, A. E.
2021«Madonna del libro» в собрании Свердловского областного краеведческого музея: первые данные атрибуции и технико-технологического исследования картиныИльичев, Д. В.; Ilichev, D. V.
2012Magnesite enrichment by a dry methodUrvantsev, A. M.; Kashcheev, I. D.
2017Magnesium cements derived from technogenic raw materialsLipunov, I. N.; Pervova, I. G.; Nikiforov, A. F.; Липунов, И. Н.; Первова, И. Г.; Никифоров, А. Ф.
2016Magnetic actuator based on giant magnetostrictive material Terfenol-D with strain and temperature monitoring using FBG optical sensorGarcía-Miquel, H.; Barrera, D.; Amat, R.; Kurlyandskaya, G. V.; Sales, S.
2018Magnetic and acoustic characteristics of steel 30CrMnSiA after rolling and pressingKostin, V. N.; Serbin, E. D.
2013Magnetic and electrical properties of the half-metallic ferromagnets Co2CrAlKourov, N. I.; Korolev, A. V.; Marchenkov, V. V.; Lukoyanov, A. V.; Belozerova, K. A.
2021Magnetic and electronic ordering phenomena in the Ru2 O6 -layer honeycomb lattice compound AgRuO3Schnelle, W.; Prasad, B. E.; Felser, C.; Jansen, M.; Komleva, E. V.; Streltsov, S. V.; Mazin, I. I.; Khalyavin, D.; Manuel, P.; Pal, S.; Muthu, D. V. S.; Sood, A. K.; Klyushina, E. S.; Lake, B.; Orain, J. -C.; Luetkens, H.
2013Magnetic and magnetocaloric properties of (MnCo)1-xGe compoundsMarkin, P. E.; Mushnikov, N. V.; Gerasimov, E. G.; Proshkin, A. V.; Volegov, A. S.
2019Magnetic and magnetocaloric properties of Gd melt-spun ribbonsSvalov, A.; Andreev, S.; Arkhipov, A.; Kudyukov, E.; Neznakhin, D.; Larrañaga, A.; Kurlyandskaya, G.
2019Magnetic and magnetoimpedance properties of rapidly quenched ribbons of modified alloys based on FINEMETStepanova, E. A.; Volchkov, S. O.; Lukshina, V. A.; Khudyakova, D. M.; Larrañaga, A.; Neznakhin, D. S.
2020Magnetic and microwave properties of SrFe12O19/MCe0.04Fe1.96O4 (M = Cu, Ni, Mn, Co and Zn) hard/soft nanocompositesAlgarou, N. A.; Slimani, Y.; Almessiere, M. A.; Alahmari, F. S.; Vakhitov, M. G.; Klygach, D. S.; Trukhanov, S. V.; Trukhanov, A. V.; Baykal, A.