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Onderzoeker
Jonas Doevenspeck
- Disciplines:Nanotechnologie, Sensoren, biosensoren en slimme sensoren, Andere elektrotechniek en elektronica, Ontwerptheorieën en -methoden
Affiliaties
- Elektronische Circuits en Systemen (ECS) (Afdeling)
Lid
Vanaf1 aug 2020 → 16 jan 2021 - Afdeling ESAT - MICAS, Micro-elektronica en Sensoren (Afdeling)
Lid
Vanaf17 okt 2016 → 31 jul 2020
Publicaties
1 - 9 van 9
- IGZO-Based Compute Cell for Analog In-Memory Computing-DTCO Analysis to Enable Ultralow-Power AI at Edge(2020)
Auteurs: Jonas Doevenspeck, Hyungrock Oh
Pagina's: 4616 - 4620 - Modeling and Demonstration of Oxygen Vacancy-Based RRAM as Probabilistic Device for Sequence Learning(2020)
Auteurs: Jonas Doevenspeck, Rudy Lauwereins, Wim Dehaene
Pagina's: 505 - 511 - Low voltage transient RESET kinetic modeling of OxRRAM for neuromorphic applications(2019)
Auteurs: Jonas Doevenspeck, Rudy Lauwereins, Wim Dehaene
Aantal pagina's: 6 - Gait identification using stochastic OXRRAM-based time sequence machine learning(2019)
Auteurs: Jonas Doevenspeck
Pagina's: T84 - T85Aantal pagina's: 2 - Chain of magnetic tunnel junctions as a spintronic memristor(2018)
Auteurs: Eline Raymenants, Olivier Bultynck, Jonas Doevenspeck, Marc Heyns, Iuliana Radu
- Temporal sequence learning with a history-sensitive probabilistic learning rule intrinsic to oxygen vacancy-based RRAM(2018)
Auteurs: Jonas Doevenspeck, Rudy Lauwereins, Wim Dehaene
Aantal pagina's: 4 - Design and simulation of plasmonic interference-based majority gate(2017)
Auteurs: Jonas Doevenspeck, Odysseas Zografos, Surya Prakash Gurunarayanan, Rudy Lauwereins
Pagina's: 65446 - Analytic variability study of inference accuracy in RRAM arrays with a binary tree winner-take-all circuit for neuromorphic applications
Auteurs: Jonas Doevenspeck, Rudy Lauwereins, Wim Dehaene
Pagina's: 62 - 65 - In-Memory Neural Network Computing with Resistive Memories
Auteurs: Jonas Doevenspeck, Wim Dehaene, Rudy Lauwereins