A5103116236- Nuclear physics research studies
- Ferroelectric and Piezoelectric Materials
- Nuclear Physics and Applications
- Particle physics theoretical and experimental studies
- Acoustic Wave Resonator Technologies
- Particle Detector Development and Performance
- X-ray Spectroscopy and Fluorescence Analysis
- Spectroscopy and Quantum Chemical Studies
- Electronic and Structural Properties of Oxides
- Radiation Therapy and Dosimetry
- Multiferroics and related materials
- NMR spectroscopy and applications
- High-Energy Particle Collisions Research
- Psychoanalysis and Social Critique
- Sociology and Education Studies
- Advancements in Photolithography Techniques
- Psychology, Coaching, and Therapy
- Atomic and Subatomic Physics Research
- Physics and Engineering Research Articles
- Quantum chaos and dynamical systems
- Mathematical Approximation and Integration
- Electron and X-Ray Spectroscopy Techniques
- Ferroelectric and Negative Capacitance Devices
- Atomic and Molecular Physics
- Guidance and Control Systems
Technical University of Darmstadt
2018-2024
Abstract Dislocations are usually expected to degrade electrical, thermal and optical functionality tune mechanical properties of materials. Here, we demonstrate a general framework for the control dislocation–domain wall interactions in ferroics, employing an imprinted dislocation network. Anisotropic dielectric electromechanical engineered barium titanate crystals via well-controlled line-plane relationships, culminating extraordinary stable large-signal permittivity (≈23100) piezoelectric...
Abstract Unlike metals where dislocations carry strain singularity but no charge, in oxide ceramics are characterized by both a field and local charge with compensating envelope. Oxide their deliberate engineering manipulation pivotal numerous modern technologies such as semiconductors, superconductors, solar cells, ferroics. Dislocations facilitate plastic deformation lead to monotonous increase the strength of metallic materials accordance widely recognized Taylor hardening law. However,...
We report an intrinsic strain engineering, akin to thin filmlike approaches, via irreversible high-temperature plastic deformation of a tetragonal ferroelectric single-crystal BaTiO_{3}. Dislocations well-aligned along the [001] axis and associated fields in plane defined by [110]/[1[over ¯]10] are introduced into volume, thus nucleating only in-plane domain variants. By combining direct experimental observations theoretical analyses, we reveal that instability extrinsic degradation...
The pinning-controlled mobility of ferroelectric/ferroelastic domain walls is an important part managing polarization switching and determining the final properties ferroelectric piezoelectric materials. Here, we assess impact temperature on dislocation-induced wall pinning as well dislocation-tuned dielectric response in barium titanate single crystals. Our solid-state nuclear magnetic resonance spectroscopy results indicate that entire sample exclusively permits in-plane domains, with...
Dislocations were introduced into BaTiO 3 single crystals and become catalytically active centers.
Abstract Mesoporous silica MCM-41 is prepared, for which the inner surfaces are modified by 3-(aminopropyl)triethoxysilane (APTES) in a controlled manner. Nitrogen gas adsorpition yields pore diameter of 2.2 nm APTES functionalized MCM-41. 2 H nuclear magnetic resonance (NMR) and broadband dielectric spectroscopy (BDS) provide detailed consistent insights into temperature-dependent reorientation dynamics water this confinement. We find that liquid species becomes accompanied solid when...
Mesoporous silica MCM-41 is prepared, for which the inner surfaces are modified by 3-(aminopropyl)triethoxysilane (APTES) in a controlled manner. Nitrogen gas adsorpition yields pore diameter of 2.2 nm APTES functionalized MCM-41. ²H nuclear magnetic resonance (NMR) and broadband dielectric spectroscopy (BDS) provide detailed consistent insights into temperature-dependent reorientation dynamics water this confinement. We find that liquid species becomes accompanied solid when cooling through...
Future upgrades to the LHC will pose considerable challenges for traditional particle track reconstruction methods. We investigate how artificial Neural Networks and Deep Learning could be used complement existing algorithms increase performance. Generating seeds of detector hits is an important phase during beginning improving current heuristics seed generation seems like a feasible task. find that given sufficient training data, comparatively compact, standard feed-forward neural network...