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 switching speed and endurance in the range of 1 million to 10 billion cycles could be proven. Retention and imprint characteristics have furthermore been analyzed and are shown to be stable for 1000 hours bake time at 125 oC. Derived from the ferroelectric effect in HfO2, a 28 nm FeFET memory cell is introduced as the central application of this thesis. Based on numerical simulations, the memory concept is explained and possible routes towards an optimized FeFET cell are discussed. Subsequently, the results from electrical characterization of FeFET multi-structures are presented and discussed. By using Si:HfO2 it was possible to realize the world's first 28 nm FeFET devices possessing i.a. 10k cycling endurance and an extrapolated 10 year data retention at room temperature. The next step towards a FeFET memory is represented by connecting several memory cells into matrix-type configurations. A cell concept study illustrates the different ways in which FeFET cells can be combined together to give high density memory arrays. For the proposed architectures, operational schemes are theoretically discussed and analyzed by both electrical characterization of FeFET multi-structures and numerical simulations. The thesis concludes with the electrical characterization of small FeFET memory arrays. First results show that a separation between memory states can be achieved by applying poling and incremental step pulse programming (ISPP) sequences. These results represent an important cornerstone for future studies on Si:HfO2 and its related applications.

Not only conventional computer architectures, such as the von-Neumann architecture with its inevitable von-Neumann bottleneck, but likewise the emerging field of edge computing require to substantially decrease the spatial separation of logic and memory units to overcome power and latency shortages. The integration of logic operations into memory units (Logic-in-Memory), as well as memory elements into logic circuits (Nonvolatile Logic), promises to fulfill this request by combining high-speed with low-power operation. Ferroelectric field-effect transistors (FeFETs) based on hafnium oxide prove to be auspicious candidates for the memory elements in applications of that kind, as those nonvolatile memory elements are CMOS-compatible and likewise scalable. This work presents implementations that merge logic and memory by exploiting the natural capability of the FeFET to combine logic functionality (transistor) and memory ability (nonvolatility).

The hafnium based ferroelectric memories offer a low power consumption, ultra-fast operation, non-volatile retention as well as the small relative cell size as the main requirements for future memories. These remarkable properties of ferroelectric memories make them promising candidates for non-volatile memories that would bridge the speed gap between fast logic and slow off-chip, long term storage. Even though the retention of hafnia based ferroelectric memories can be extrapolated to a ten-year specification target, they suffer from a rather limited endurance. Therefore, this work targets relating the field cycling behavior of hafnia based ferroelectric memories to the physical mechanisms taking place within the film stack. Establishing a correlation between the performance of the device and underlying physical mechanisms is the first step toward understanding the device and engineering guidelines for novel, superior devices. In the frame of this work, an in-depth ferroelectric and dielectric characterization, analysis and TEM study was combined with comprehensive modeling approach. Drift and diffusion based vacancy redistribution was found as the main cause for the phase transformation and consequent increase of the remnant polarization, while domain pinning and defect generation is identified to be responsible for the device fatigue. Finally, based on Landau theory, a simple way to utilize the high endurance strength of anti-ferroelectric (AFE) materials and achieve non-volatility in state-of-the-art DRAM stacks was proposed and the fabrication of the world's first non-volatile AFE-RAM is reported. These findings represent an important milestone and pave the way toward a commercialization of (anti)ferroelectric non-volatile memories based on simple binary-oxides.

In 2011, Böscke et al. reported the unexpected discovery of ferroelectric properties in hafnia based thin films, which has since initiated many further studies and revitalized research on the topic of ferroelectric memories. In spite of many efforts, the unveiling of the fundamentals behind this surprising discovery has proven rather challenging. In this work, the originally claimed Pca21 phase is experimentally proven to be the root of the ferroelectric properties and the nature of this ferroelectricity is classified in the frame of existing concepts of ferroelectric materials. Parameters to stabilize this polar phase are examined from a theoretical and fabrication point of view. With these very basic questions addressed, the application relevant electric field cycling behavior is studied. The results of first-order reversal curves, impedance spectroscopy, scanning transmission electron microscopy and piezoresponse force microscopy significantly advance the understanding of structural mechanisms underlying wake-up, fatigue and the novel phenomenon of split-up/merging of transient current peaks. The impact of field cycling behavior on applications like ferroelectric memories is highlighted and routes to optimize it are derived. These findings help to pave the road for a successful commercialization of hafnia based ferroelectrics.

This is the first comprehensive book on ferroelectric memories which contains chapters on device design, processing, testing, and device physics, as well as on breakdown, leakage currents, switching mechanisms, and fatigue. State-of-the-art device designs are included and illustrated among the books many figures. More than 500 up-to-date references and 76 problems make it useful as a research reference for physicists, engineers and students.