Dr.-Ing. Richard Schroedter

© Sophia Hölzel

Wissenschaftlicher Mitarbeiter

Name

Herr Dr.-Ing. Richard Schroedter

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01069 Dresden

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Veranstaltungen

© Richard Schroedter

At the MEMRISYS 2024 conference in Seoul, South Korea, Richard Schroedter was awarded the Best Poster Award for his presentation titled "An ErMnO3 memristive spiking neuristor". The award-winning poster was created in collaboration with co-authors Ahmet Şamil Demirkol, Rong Wu, Catherine Dubourdieu, and Ronald Tetzlaff

© Crispin-I. Mokry

Es war uns eine große Ehre und Freude, Richard Socher (you.com) als Gastredner an der TU Dresden am 11. Mai 2023 begrüßen zu dürfen. Richard Socher teilte mit uns seine Sicht auf den neuesten Stand der Natural Language Processing (NLP) Forschung im Bereich des maschinellen Lernens und nahm an einer Podiumsdiskussion mit den lokalen Experten Sunna Torge (TU Dresden, SCADS.AI, OpenGPT-X), Anna Poetsch (TU Dresden, CMCB/MSNZ), Oliver Guhr (Moderator, HTW Dresden) und Peter Steinbach (Moderator, Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz.AI) teil.

Sie können den Vortrag und die Podiumsdiskussion hier einsehen:  https://memristec.de/2023/05/11/richard-socher-abend/

Der Veranstaltungsbeitrag auf Twitter: https://twitter.com/tudresden_de/status/1656742791173611521/

Lehre

• Vorlesung "Neural Networks and Memristive Hardware Accelerators" im Wintersemester 2025/2026 OPAL
• Betreuung von studentischen Arbeiten, siehe offene Themen
• Übung Grundlagen der Elektrotechnik

Forschung

Memristive Bauelemente für biologisch-inspiriertes Rechnen von energieeffizienten neuronalen Netzen

• Modellbildung von memristiven und memkapazitiven Bauelementen und Crossbar-Arrays
• Entwicklung von Algorithmen für die effiziente Ansteuerung von memristiven neuronalen Netzen
• Untersuchung von künstlichen und gepulsten neuronalen Netzen
• Entwurf von Neuronenschaltungen mit lokal aktiven Memristoren (Neuristoren)
• Neurotransistor-based Memristive Crossbar Memcomputing (NeuroMCross)
• Biologisch inspiriertes Rechnen mit Speicherelementen auf Crossbar Strukturen (BioMCross)
• Memristive Bauelemente für intelligente technische Systeme (MemrisTec)
  • Kompaktes SPICE Memristor Modell basierend auf der Poole-Frenkel Emission, welches analoges (schrittweises) Schalten aufweist und anhand eines Ti/Al2O3/Nb2O5/Ti Memristors hergestellt bei NaMLab gGmbH, Dresden entwickelt wurde Download SPICE code oder Github.
    
    Bei Verwendung des Modells folgende Quelle zitieren: R. Schroedter, A. S. Demirkol, A. Ascoli, R. Tetzlaff, E. Mgeladze, M. Herzig, S. Slesazeck, T. Mikolajick, "SPICE Compact Model for an Analog Switching Niobium Oxide Memristor", International Conference on Modern Circuits and Systems Technologies (MOCAST) on Electronics and Communications, Bremen, 2022, DOI: 10.1109/MOCAST54814.2022.9837726

© IEEE Copyright

© IEEE Copyright

Link to presentation video

Publikationen

• Google Scholar
• ORCID: 0000-0003-3259-4571

Ausgewählte Publikationen:

2026

R. Wu, F. Maudet, T. L. Phan, W. Hamouda, R. Schroedter, A. S. Demirkol, R. Tetzlaff, V. Deshpande, und C. Dubourdieu, „A New Threshold Switching Device With Tunable Negative Differential Resistance Based on ErMnO3 Polymorphs“, Advanced Functional Materials, S. e27736, 2026, doi: 10.1002/adfm.202527736

R. Schroedter, A. S. Demirkol, I. Messaris, C. Bruchatz, E. Mgeladze, S. Slesazeck, T. Mikolajick, und R. Tetzlaff, „Model-Based Time-Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays“, Advanced Electronic Materials, Bd. n/a, Nr. n/a, S. e00777, 2026, doi: 10.1002/aelm.202500777

D. Fejzaj, R. Schroedter, T. Mikolajick, und A. Heinzig, „Exfoliated-MoS2 Gradual Resistive Switching Devices as Artificial Synapses“, Advanced Electronic Materials, S. e00691, doi: 10.1002/aelm.202500691

C. Wu, H. Shen, R. Schroedter, C. Peng, H. Hoffman, S. Slesazeck, R. Tetzlaff, T. Mikolajick, und B. Max, „Reversible and Controllable Transition Between Filamentary and Interfacial Resistive Switching in HfO2-Based Memristors“, Advanced Electronic Materials, Bd. 12, Nr. 4, S. e00644, 2026, doi: 10.1002/aelm.202500644

2025

K. P. Nguyen, R. Schroedter, V. Ntinas, and R. Tetzlaff, “A Compact Memristor Model for Hafnium-based 1T1R ReRAM Devices,” Poster presented at the IEEE Cross-disciplinary Conference on Memory-Centric Computing (CCMCC), Dresden Germany, Oct. 2025. Poster

R. Schroedter, A. S. Demirkol, I. Messaris, C. Bruchatz, E. Mgeladze, S. Slesazeck, T. Mikolajick, R. Tetzlaff, "Model-based write algorithm for memristive crossbar arrays",  14th International Conference on Modern Circuits and Systems Technologies (MOCAST2025) on Electronics and Communications, Dresden, 11-13 June 2025, DOI: 10.1109/MOCAST65744.2025.11083963

D. Fejzaj, R. Schroedter, T. Mikolajick, A. Heinzig, "A Vertical Memristive MoS2-exfoliated Device for Applications in Artificial Synapses", accepted for presentation at 14th International Conference on Modern Circuits and Systems Technologies (MOCAST2025) on Electronics and Communications, Dresden, 11-13 June 2025, DOI: 10.1109/MOCAST65744.2025.11083941

A. S. Demirkol, R. Schroedter, I. Messaris, V. Ntinas, D. Prousalis, R. Tetlaff, A. Ascoli, “A Simplified Analysis of Threshold Switch Based Neuron Circuits,” in 2025 IEEE International Symposium on Circuits and Systems (ISCAS), May 2025, pp. 1–5. DOI: 10.1109/ISCAS56072.2025.11044231

A. Ascoli, E. Gemo, D. Rossetti, F. Corinto, M. Bonnin, M. Gilli, P. P. Civalleri, A. S. Demirkol, N. Schmitt, I. Messaris, V. Ntinas, D. Prousalis, R. Schroedter, R. Tetzlaff, S. Slesazeck, T. Mikolajick, and L. Chua, “Edge of Chaos Induces a Hopf Bifurcation in a Bio-Inspired Thermally-Activated Memristor Oscillator,” in 2025 IEEE International Symposium on Circuits and Systems (ISCAS), May 2025, pp. 1–5. doi: 10.1109/ISCAS56072.2025.11043813

2024

R. Schroedter, A.S. Demirkol, R. Wu, C. Dubourdieu, R. Tetzlaff, "An ErMnO3 memristive spiking neuristor", presented at International Conference on Memristive Materials, Devices & Systems, MEMRISYS 2024, 11 Nov. 2024
*** Best Poster Award *** Poster

R. Schroedter, A. Haidar, R. Tetzlaff, “Fault Impact Map for Memristive Crossbar Neural Networks”, 13th International Conference on Modern Circuits and Systems Technologies (MOCAST) on Electronics and Communications, Sofia, Bulgaria, 2024, DOI: 10.1109/MOCAST61810.2024.10615515 Postprint Presentation

2023

R. Schroedter, A. S. Demirkol, A. Ascoli, B. Max, F. Nebe, T. Mikolajick,  R. Tetzlaff, "A pseudo-memcapacitive neurotransistor for spiking neural networks", 12th International Conference on Modern Circuits and Systems Technologies (MOCAST) on Electronics and Communications, Athens, Greece, pp. 1-5, 2023, DOI: 10.1109/MOCAST57943.2023.10176398
Postprint, SPICE code

R. Schroedter, R. Tetzlaff, "Modeling an analog switching memristor", 1.Memristor-Symposium, 27.-28.02.2023, Bamberg, Germany, pp. 3-4, 2023, DOI: https://doi.org/10.26127/BTUOpen-6348

2022

E. Mgeladze, M. Herzig, R. Schroedter, R. Tetzlaff, S. Slesazeck, T. Mikolajick, „An Analog Memristive and Memcapacitive Device for Neuromorphic Computing”. 29th IEEE International Conference on Electronics Circuits and Systems (ICECS), Glasgow, pp. 1-4, 2022, DOI: 10.1109/ICECS202256217.2022.9970915

R. Schroedter, A. S. Demirkol, A. Ascoli, R. Tetzlaff, E. Mgeladze, M. Herzig, S. Slesazeck, T. Mikolajick, "SPICE Compact Model for an Analog Switching Niobium Oxide Memristor", International Conference on Modern Circuits and Systems Technologies (MOCAST) on Electronics and Communications, Bremen, 2022
DOI: 10.1109/MOCAST54814.2022.9837726
*** Best Paper Award *** Postprint Video, SPICE code

R. Schroedter, E. Mgeladze, M. Herzig, A. Ascoli, S. Slesazeck, T. Mikolajick, R. Tetzlaff,  „Physics-based modeling of a bi-layer Al2O3/Nb2O5 analog memristive device“, IEEE International Symposium on Circuits and Systems  (ISCAS), pp. 1097-1101, TX, USA, 2022,
DOI: 10.1109/ISCAS48785.2022.9937966
Postprint

2014-2021

R. Schroedter, H. W. Yoo, D. Brunner, G. Schitter. "Charge-based Capacitive Self-Sensing with Continuous State Observation for Resonant Electrostatic MEMS Mirrors" in IEEE Journal of Microelectromechanical Systems, vol. 30, no. 6, 2021

R. Schroedter, H. W. Yoo, D. Brunner, G. Schitter,  „Capacitive Charge-based Self-Sensing for Resonant Electrostatic MEMS mirrors“, Proc.  of 21st IFAC World Congress, Volume 53, Issue 2, pp. 8553-8558, 2020

R. Schroedter, E. Csencsics, G. Schitter, „Towards the Analogy of Electrostatic and lectromagnetic Transducers“. ,Proc.  of 21st IFAC World Congress, Volume 53, Issue 2, pp. 8941-8946, 2020

R. Schroedter, J. Grahmann, K. Janschek. „Silicone oil damping for quasi-static micro scanners with electrostatic vertical staggered comb drives“, in 8th IFAC Symposium on Mechatronic Systems (Mechatronics), vol. 52, issue 15, pp. 37-42, 2019

R. Schroedter. „Modellbasierter Systementwurf zur Steuerung und Regelung quasi-statischer Mikroscannerspiegel mit elektrostatischem Kammantrieb“, Jörg Vogt Verlag, Dresden, Dissertation, 340 Seiten, ISBN: 9783959470308, 2018
URN:  urn:nbn:de:bsz:14-qucosa2-882591

R. Schroedter, M. Schwarzenberg, J. Grahmann, T. Sandner, K. Janschek. „Repetitive nonlinear control for linear scanning micro mirrors“, in Proceedings of SPIE 10545, MOEMS and Miniaturized Systems XVII, 1054511, 2018

R. Schroedter, M. Roth, K. Janschek, T. Sandner. „Flatness-based open-loop and closed-loop control for electrostatic quasi-static microscanners using jerk-limited trajectory design“, Mechatronics, vol. 56, pp. 318-331, 2017

R. Schroedter, M. Schwarzenberg, A. Dreyhaupt, R. Barth, R. Sandner, K. Janschek. „Microcontroller based closed-loop control of a 2D quasi-static/resonant microscanner with on-chip piezo-resistive sensor feedback“, in Proceedings of SPIE 10116, MOEMS and Miniaturized Systems XVI, 1011605, 2017

R. Schroedter, T. Sandner, K. Janschek, M. Roth, C. Hruschka. „Real-time closed-loop control for micro mirrors with quasistatic comb drives“, in Proceedings of SPIE 9760, MOEMS and Miniaturized Systems XV, 976009, 2016

R. Schroedter, K. Janschek, T. Sandner. „Jerk and current limited flatness-based open loop control of foveation scanning electrostatic micromirrors“, in Proceedings of 19th IFAC World Congress, vol 47 (3), pp. 2685-2690, 2014

Wissenschaftlicher Werdegang