Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Finn Zahari"'
Autor:
Finn Zahari, Richard Marquardt, Matthias Kalläne, Ole Gronenberg, Christoph Schlueter, Yury Matveyev, Georg Haberfehlner, Florian Diekmann, Alena Nierhauve, Jens Buck, Arndt Hanff, Gitanjali Kolhatkar, Gerald Kothleitner, Lorenz Kienle, Martin Ziegler, Jürgen Carstensen, Kai Rossnagel, Hermann Kohlstedt
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 6, Pp n/a-n/a (2023)
Abstract Memristive devices are under intense development as non‐volatile memory elements for extending the computing capabilities of traditional silicon technology by enabling novel computing primitives. In this respect, interface‐based memristi
Externí odkaz:
https://doaj.org/article/58dd7d7895d74d068782d7e50a345b0f
Autor:
Richard Marquardt, Finn Zahari, Jürgen Carstensen, George Popkirov, Ole Gronenberg, Gitanjali Kolhatkar, Hermann Kohlstedt, Martin Ziegler
Publikováno v:
Advanced Electronic Materials, Vol 9, Iss 6, Pp n/a-n/a (2023)
Abstract Memristive devices for neuromorphic computing have been attracting ever growing attention over the last couple of years. In neuromorphic electronics, memristive devices with multi‐level resistance states are required to accurately reproduc
Externí odkaz:
https://doaj.org/article/9210987cc8054ea4b5a3ec8d226c83f2
Autor:
Finn Zahari, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiah, Hermann Kohlstedt, Christian Wenger, Martin Ziegler
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Abstract Biological neural networks outperform current computer technology in terms of power consumption and computing speed while performing associative tasks, such as pattern recognition. The analogue and massive parallel in-memory computing in bio
Externí odkaz:
https://doaj.org/article/1a4c1d13dc044dc49d23d1a716766d64
Publikováno v:
AIMS Materials Science, Vol 2, Iss 3, Pp 203-216 (2015)
We report on the development of TiOx-based memristive devices for bio-inspired neuromorphic systems. In particular, capacitor like structures of Al/AlOx/TiOx/Al with, respectively 20 nm and 50 nm thick TiOx-layers were fabricated and analyzed in term
Externí odkaz:
https://doaj.org/article/9e7dad430663490597040e1c5a22c4d1
Autor:
Richard Marquardt, Deik Petersen, Ole Gronenberg, Finn Zahari, Rouven Lamprecht, George Popkirov, Jürgen Carstensen, Lorenz Kienle, Hermann Kohlstedt
Publikováno v:
ACS Applied Electronic Materials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a22fbd25ffbf9f9fcb8e889385c7af94
https://doi.org/10.1021/acsaelm.3c00336
https://doi.org/10.1021/acsaelm.3c00336
Autor:
Finn Zahari, Richard Marquardt, Matthias Kalläne, Ole Gronenberg, Christoph Schlueter, Yury Matveyev, Georg Haberfehlner, Florian Diekmann, Alena Nierhauve, Jens Buck, Arndt Hanff, Gitanjali Kolhatkar, Gerald Kothleitner, Lorenz Kienle, Martin Ziegler, Jürgen Carstensen, Kai Rossnagel, Hermann Kohlstedt
Publikováno v:
Advanced Electronic Materials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18be609afaa4f5054db71d489ca13fb4
https://doi.org/10.1002/aelm.202201226
https://doi.org/10.1002/aelm.202201226
Autor:
Sahitya Yarragolla, Torben Hemke, Jan Trieschmann, Finn Zahari, Hermann Kohlstedt, Thomas Mussenbrock
A large number of simulation models have been proposed over the years to mimic the electrical behaviour of memristive devices. The models are based either on sophisticated mathematical formulations that do not account for physical and chemical proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b10ded43e6a9a976ace4ea7bee74a3be
http://arxiv.org/abs/2111.00591
http://arxiv.org/abs/2111.00591
Autor:
Eduardo Perez, Martin Ziegler, Mamathamba Kalishettyhalli Mahadevaiah, Ch. Wenger, Finn Zahari, Hermann Kohlstedt, I. Beckers
Publikováno v:
IEEE Electron Device Letters. 40:639-642
Based on the inherent stochasticity of CMOS-integrated HfO2-based resistive random access memory (RRAM) devices, a new learning algorithm for neuro-morphic systems is presented. For this purpose, the device-to-device variability of CMOS-integrated 4-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05e5ddef064be8851b71e414364562ca
https://doi.org/10.1109/led.2019.2900867
https://doi.org/10.1109/led.2019.2900867
Autor:
Eduardo Perez, Christian Wenger, Hermann Kohlstedt, Mamathamba Kalishettyhalli Mahadevaiah, Finn Zahari, Pouya Soltani Zarrin
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease, affecting millions of people worldwide. Implementation of Machine Learning (ML) techniques is crucial for the effective management of COPD in home-care environments. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c205e39baa1bf23e5237cc9ea49b28f2
https://doi.org/10.1038/s41598-020-76823-7
https://doi.org/10.1038/s41598-020-76823-7
Autor:
Moritz Drangmeister, Tom Birkoben, Philipp Hövel, Serhiy Yanchuk, Hermann Kohlstedt, Finn Zahari
We investigate the effect of a memristive element on the dynamics of a chaotic system. For this purpose, the chaotic Chua’s oscillator is extended by a memory element in the form of a double-barrier memristive device. The device consists of [Formul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4b9d80202961eb4254a5db0b4c75ec1
https://hdl.handle.net/10468/10460
https://hdl.handle.net/10468/10460