Review of the Science and Technology for Low- and High-Density Nonvolatile Ferroelectric Memories

Auciello, Orlando; Araújo, Carlos A. Paz de; Celinska, Jolanta

doi:10.1007/978-1-4899-7537-9_1

Cited by 11 publications

(8 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To that end we add the terms accounting for the screening contribution in the GL functional (see "Methods"). At typical for the PZT values of the screening length about λ = 80-100 nm 37,38 , screening does not influence the Hopfion texture. At elevated density of the free charges where λ ≃ 20 nm the polarization lines maintain the winding texture.…”

Section: =2mentioning

confidence: 93%

See 1 more Smart Citation

Hopfions emerge in ferroelectrics

et al. 2020

View full text Add to dashboard Cite

Paradigmatic knotted solitons, Hopfions, that are characterized by topological Hopf invariant, attract an intense attention in the diverse areas of physics ranging from high-energy physics, cosmology and astrophysics to biology, magneto-and hydrodynamics and condensed matter physics. Yet, while being of broad interest, they remain elusive and under-explored. Here we demonstrate that Hopfions emerge as a basic configuration of polarization field in confined ferroelectric nanoparticles. Our findings establish that Hopfions are of fundamental importance for the electromagnetic behavior of the nanocomposits and can result in advanced functionalities of these materials.

show abstract

Section: =2mentioning

confidence: 93%

“…46 . To evaluate the effect of screening we varied the screening length from λ = 80-100 nm which is typical for the PZT 37,38 down to nanometers.…”

Section: Methodsmentioning

confidence: 99%

Hopfions emerge in ferroelectrics

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Two of the key performance parameters of a memory device are the volume of the smallest possible unit of information (in other words, information storage density in terms of bit/inch 2 ) and the speed at which one can write and read this information bit. , Consider the design of a ferroelectric capacitor to store the information and write/read such information at high speed. In addition to the performance parameters, you will also need to know the reliability parameter, which may be the lifetime of your ferroelectric capacitor …”

Section: Multiscale Structure–property Imagingmentioning

confidence: 99%

“…In addition to the performance parameters, you will also need to know the reliability parameter, which may be the lifetime of your ferroelectric capacitor. 43 How can materials imaging help design the best ferroelectric capacitor? First, one may want to know the size limit of the ferroelectric domain that consists of the same polarization within the region of interest.…”

Section: Multiscale Structure−property Imagingmentioning

confidence: 99%

Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration

et al. 2021

View full text Add to dashboard Cite

Multiscale and multimodal imaging of material structures and properties provides solid ground on which materials theory and design can flourish. Recently, KAIST announced 10 flagship research fields, which include KAIST Materials Revolution: Materials and Molecular Modeling, Imaging, Informatics and Integration (M3I3). The M3I3 initiative aims to reduce the time for the discovery, design and development of materials based on elucidating multiscale processing–structure–property relationship and materials hierarchy, which are to be quantified and understood through a combination of machine learning and scientific insights. In this review, we begin by introducing recent progress on related initiatives around the globe, such as the Materials Genome Initiative (U.S.), Materials Informatics (U.S.), the Materials Project (U.S.), the Open Quantum Materials Database (U.S.), Materials Research by Information Integration Initiative (Japan), Novel Materials Discovery (E.U.), the NOMAD repository (E.U.), Materials Scientific Data Sharing Network (China), Vom Materials Zur Innovation (Germany), and Creative Materials Discovery (Korea), and discuss the role of multiscale materials and molecular imaging combined with machine learning in realizing the vision of M3I3. Specifically, microscopies using photons, electrons, and physical probes will be revisited with a focus on the multiscale structural hierarchy, as well as structure–property relationships. Additionally, data mining from the literature combined with machine learning will be shown to be more efficient in finding the future direction of materials structures with improved properties than the classical approach. Examples of materials for applications in energy and information will be reviewed and discussed. A case study on the development of a Ni–Co–Mn cathode materials illustrates M3I3’s approach to creating libraries of multiscale structure–property–processing relationships. We end with a future outlook toward recent developments in the field of M3I3.

show abstract

“…The interest in perovskite and garnet ceramics has been growing steadily over recent years. This is because these materials are promising in a variety of fields, such as solar cells [ 1 , 2 ], magneto-optical materials [ 3 , 4 ], gas sensors, superconductors [ 5 ], new memory devices [ 6 ], and many others [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ]. The garnet structure has a general formula C 3 A 2 D 3 O 12 , where the first three are cations in dodecahedral, octahedral, and tetrahedral positions, respectively [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Aqueous Sol-Gel Synthesis of Different Iron Ferrites: From 3D to 2D

et al. 2021

View full text Add to dashboard Cite

In this study, an aqueous sol-gel synthesis method and subsequent dip-coating technique were applied for the preparation of yttrium iron garnet (YIG), yttrium iron perovskite (YIP), and terbium iron perovskite (TIP) bulk and thin films. The monophasic highly crystalline different iron ferrite powders have been synthesized using this simple aqueous sol-gel process displaying the suitability of the method. In the next step, the same sol-gel solution was used for the fabrication of coatings on monocrystalline silicon (100) using a dip-coating procedure. This resulted, likely due to substrate surface influence, in all coatings having mixed phases of both garnet and perovskite. Thermogravimetric (TG) analysis of the precursor gels was carried out. All the samples were investigated by X-ray powder diffraction (XRD) analysis. The coatings were also investigated by scanning electron microscopy (SEM), atomic force microscopy (AFM) and Mössbauer spectroscopy. Magnetic measurements were also carried out.

show abstract

Review of the Science and Technology for Low- and High-Density Nonvolatile Ferroelectric Memories

Cited by 11 publications

References 50 publications

Hopfions emerge in ferroelectrics

Hopfions emerge in ferroelectrics

Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration

Aqueous Sol-Gel Synthesis of Different Iron Ferrites: From 3D to 2D

Contact Info

Product

Resources

About