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This thesis evaluates the viability of ferroelectric Si:HfO2 and its derived FeFET application for non-volatile data storage. At the beginning, the ferroelectric effect is explained briefly such that the applications that make use of it can be understood. Afterwards, the latest findings on ferroelectric HfO2 are reviewed and their potential impact on future applications is discussed. Experimental data is presented afterwards focusing on the ferroelectric material characteristics of Si:HfO2 that are most relevant for memory applications. Besides others, the stability of the ferroelectric switching effect could be demonstrated in a temperature range of almost 400 K. Moreover, nanosecond switch...
'Even the biographical individual is a social category', wrote Adorno. ‘It can only be defined in a living context together with others.’ In this major new biography, Stefan Müller-Doohm turns this maxim back on Adorno himself and provides a rich and comprehensive account of the life and work of one of the most brilliant minds of the twentieth century. This authoritative biography ranges across the whole of Adorno's life and career, from his childhood and student years to his years in emigration in the United States and his return to postwar Germany. At the same time, Muller-Doohm examines the full range of Adorno's writings on philosophy, sociology, literary theory, music theory and cu...
This book examines the changes in the career experiences and profiles of 350 European prime ministers in 26 European democracies from 1945 to 2020. It builds on a theoretical framework, which claims that the decline of party government along with the increase of populism, technocracy, and the presidentialization of politics have influenced the careers of prime ministers over the past 70 years. The findings show that prime ministers’ career experiences became less political and more technical. Moreover, their career profiles shifted from a traditional type of ‘party-agent’ to a new type of ‘party-principal’. These changes affected the recruitment of executive elites and their political representation in European democracies, albeit with different intensity and speed.
Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book is the perfect guide to what can seem a forbidding landscape. Tutorial chapters by Ghosal, Lijoi and Prünster, Teh and Jordan, and Dunson advance from theory, to basic models and hierarchical modeling, to applications and implementation, particularly in computer science and biostatistics. These are complemented by companion chapters by the editors and Griffin and Quintana, providing additional models, examining computational issues, identifying future growth areas, and giving links to related topics. This coherent text gives ready access both to underlying principles and to state-of-the-art practice. Specific examples are drawn from information retrieval, NLP, machine vision, computational biology, biostatistics, and bioinformatics.