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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration!  Free Download Magnetoelectronic, Optical, and Thermoelectric Properties of Perovskite Materials English | 2024 | ISBN: 3031489667 | 215 Pages | PDF EPUB (True) | 28 MB This book undertakes an extensive exploration of manganese-based compounds, such as T₁₋ₓSrxMnO₃ (T = La, Pr; x = 0.35, 0.25) using density functional theory and Monte Carlo simulations with a focus on understanding their electronic, magnetic, and magnetocaloric properties. Ba₁₋ₓSrxFeO₃ (x = 0, 0.2) is also studied via different approximations, offering a comparative perspective. In addition, the book looks at the influence of magnetism using Monte Carlo simulations, revealing crucial parameters and examining the GdCrO₃ system through DFT and Monte Carlo simulation, shedding light on recent experimental observations. 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Zusammen mit der aus dem Interstellaren Medium eindringenden kosmischen Partikelstrahlung prägt der Sonnenwind die Entwicklung des Weltraumwetters im Interplanetaren Raum sowie in den Magnetosphären und Ionosphären der Planeten. Wie entstehen Kometenschweife und Polarlichter? Welchen Einfluss hat der Sonnenwind auf das Leben im Erdsystem?  Free Download Cary Nelson, Jefferson Hendricks, "Madrid 1937: Letters of the Abraham Lincoln Brigade From the Spanish Civil War" English | 1996 | pages: 535 | ISBN: 0415914086, 0415866731 | PDF | 23,4 mb Few topics in 20th century history generate as much interest as the Spanish Civil War. These letter from the Abraham Lincoln Brigade take us back to a time when 2800 Americans took up arms and confronted Hitler's Condor Legion, Mussolini's Black Shirts, and Franco's fascist calvary on the battlefields of Spain. 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Free Download Machine Learning and Deep Learning with Python: A Beginner's Guide to Programming 2 Books in 1 by Mark Stokes English | December 17, 2023 | ISBN: N/A | ASIN: B0CQKJQY13 | 150 pages | PDF | 29 Mb  Free Download Machine Learning Methods English | 2024 | ISBN: 981993916X | 827 Pages | PDF EPUB (True) | 35 MB This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. 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