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Andreas Kindsmüller

dblp:235/3438 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 61% Integrated circuit design · 39%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design › semiconductor device modeling
compact modeling
0.712023
A Study of the Electroforming Process in 1T1R Memory Arrays · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Emerging computing paradigms › neuromorphic computing
memristive devices
0.712023
A Study of the Electroforming Process in 1T1R Memory Arrays · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Emerging computing paradigms
neuromorphic computing
0.712023
A Study of the Electroforming Process in 1T1R Memory Arrays · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023

Methods — techniques the papers use, named apart from their topics

physics-based compact modeling · 0.7
YearPublicationVenuePosition
2023 A Study of the Electroforming Process in 1T1R Memory Arrays
abstract
For reproducible resistive switching in memristive devices, electroforming is a crucial process. However, a deeper understanding of the electroforming process is still lacking due to unavailability of a proper simulation tool. Here, we propose a physics-based compact model for the electroforming of valence change mechanism (VCM) memristive devices. The developed JART VCM Forming model is experimentally validated with the ZrOx-based memristive device. Furthermore, the electroforming process in different 1T1R memristive arrays is simulated with this model. The study shows that the electrical characteristics of each device in the array after the forming process are influenced by word/bit line series resistance. In addition, control effects depending on the channel width and applied gate voltage of transistor in the 1T1R cell are also investigated with the compact model simulation.
Seokki Son, Camilla La Torre, Andreas Kindsmüller, Vikas Rana, Stephan Menzel
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.3