01705nam 2200397z- 450 9910346700403321202102111000032216(CKB)4920000000094690(oapen)https://directory.doabooks.org/handle/20.500.12854/53751(oapen)doab53751(EXLCZ)99492000000009469020202102d2013 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierModelling the plastic deformation of ironKIT Scientific Publishing20131 online resource (XII, 146 p. p.)Schriftenreihe des Instituts für Angewandte Materialien, Karlsruher Institut für Technologie3-86644-968-2 The 1/2<111> screw dislocations in bcc iron are studied by atomistic simulations. An analytical yield criterion captures correctly the non-Schmid plastic behavior. A model Peierls potential develops a link between the atomistic modeling at 0 K and the thermally activated dislocation motion. All predicted features agree well with experimental observations. This work establishes a consistent bottom-up model that provides an insight into the microscopic origins of the plastic behavior of bcc iron.Technology: general issuesbicsscdislocationironplasticsimulationyieldTechnology: general issuesChen Zhimingauth1326677BOOK9910346700403321Modelling the plastic deformation of iron3037653UNINA03345nam 22005535 450 991033767440332120200703091240.03-030-11494-510.1007/978-3-030-11494-7(CKB)4100000007881320(MiAaPQ)EBC5788922(DE-He213)978-3-030-11494-7(EXLCZ)99410000000788132020190410d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierWorld Market Price of Oil Impacting Factors and Forecasting /by Adalat Muradov, Yadulla Hasanli, Nazim Hajiyev1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (194 pages)SpringerBriefs in Economics,2191-55043-030-11493-7 Introduction -- Chapter 1: Theoretical-Methodological Principles of the Problem -- Chapter 2: Creating Econometric Models: Evaluation and Analysis -- Chapter 3: Forecasting The Oil Prices in the World Market.This book develops new econometric models to analyze and forecast the world market price of oil. The authors construct ARIMA and Trend models to forecast oil prices, taking into consideration outside factors such as political turmoil and solar activity on the price of oil. Incorporating historical and contemporary market trends, the authors are able to make medium and long-term forecasting results. In the first chapter, the authors perform a broad spectrum analysis of the theoretical and methodological challenges of oil price forecasting. In the second chapter, the authors build and test the econometric models needed for the forecasts. The final chapter of the text brings together the conclusions they reached through applying the models to their research. This book will be useful to students in economics, particularly those in upper-level courses on forecasting and econometrics as well as to politicians and policy makers in oil-producing countries, oil importing countries, and relevant international organizations.SpringerBriefs in Economics,2191-5504Natural resourcesDevelopment economicsEconomic developmentNatural Resource and Energy Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W48010Development Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W42000Economic Growthhttps://scigraph.springernature.com/ontologies/product-market-codes/W44000Natural resources.Development economics.Economic development.Natural Resource and Energy Economics.Development Economics.Economic Growth.338.232820112333.8232Muradov Adalatauthttp://id.loc.gov/vocabulary/relators/aut985829Hasanli Yadullaauthttp://id.loc.gov/vocabulary/relators/autHajiyev Nazimauthttp://id.loc.gov/vocabulary/relators/autBOOK9910337674403321World Market Price of Oil2253316UNINA