Leopoldo Molina-Luna
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Recent Grants
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STARE - Machine learning based Software Toolkit for Automated identification in atomic-REsolution operando nanoscopy
Open Date: 2020-01-01
Close Date:
Grant: Close
Operando investigation of resistive switching in electron transparent lamellae of HfOx based RRAM devices
Open Date: 2017-11-01
Close Date: 2020-11-01
Grant: Close
FOXON – Functionality of Oxide based devices under Electric-field: Towards Atomic-resolution Operando Nanoscopy
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Fortschrittliche analytische Elektronenmikroskopie und Atomsonden-Tomographie (Z01)
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Investigation of HfO2-based Memristor Devices by iDPC-STEM
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Articles (11)
The integration of microelectromechanical systems (MEMS)-based chips for in situ transmission electron microscopy (TEM) has emerged as a highly promising technique in the study of nanoelectronic devices within their operational parameters. This innovative approach facilitates the comprehensive exploration of electrical properties resulting from the simultaneous exposure of these devices to a diverse range of stimuli. However, the control of each individual stimulus within the confined environment of an electron microscope is challenging. In this study, we present novel findings on the effect of a multi-stimuli application on the electrical performance of TEM lamella devices. To approximate the leakage current measurements of macroscale electronic devices in TEM lamellae, we have developed a postfocused ion beam (FIB) healing technique. This technique combines dedicated MEMS-based chips and in situ TEM gas cells, enabling biasing experiments under environmental conditions. Notably, our observations reveal a reoxidation process that leads to a decrease in leakage current for SrTiO3-based memristors and BaSrTiO3-based tunable capacitor devices following ion and electron bombardment in oxygen-rich environments. These findings represent a significant step toward the realization of multi-stimuli TEM experiments on metal–insulator–metal devices, offering the potential for further exploration and a deeper understanding of their intricate behavior.
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2024
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
Collaborators (9)
Gert Homm
Head of
-
Benedikt Beckmann
Technische Universität Darmstadt
Marc Widenmeyer
Technische Universität Darmstadt
Eszter Piros
Technische Universität Darmstadt
Tobias Vogel
Technische Universität Darmstadt
Konstantin Skokov
senior researcher, lecturer, permanent position
Technische Universität Darmstadt
Guoxing Chen
Technische Universität Darmstadt
Fernando Maccari
Technische Universität Darmstadt
Lukas Schäfer
Technische Universität Darmstadt
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