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Categories Archives: Memristor

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Well-posed Memristor Modeling with Xyce and Verilog-A

  • 2016-12-16
  • Tim Molter
  • How To, Memristor
  • 3 Comment

[popupwfancybox id=”6″] In this post, I talk about the current state of memristor modeling after having rolled up my sleeves for the last several weeks, getting my hand dirty with as many open source circuit simulators as possible, and simulat... read more

Native Memristor Device Development in Xyce

  • 2017-01-11
  • Tim Molter
  • How To, Memristor
  • 0 Comment

[popupwfancybox id=”6″] In a previous post titled Well-posed Memristor Modeling with Xyce and Verilog-A, we showed how to create Verilog memristor models for simulation in Xyce. In this post, we take memristor modeling in Xyce one step further... read more

The Mean Metastable Switch Memristor Model in Xyce

  • 2017-01-15
  • Tim Molter and Alex Nugent
  • How To, Memristor, Technical
  • 0 Comment

[popupwfancybox id=”6″] In a previous post titled Native Memristor Device Development in Xyce, I showed how to create the Joglekar memristor model natively in Xyce, by first cloning an existing Yakopcic device model followed by implementing th... read more

Memristor Models in LTSpice

  • 2017-01-24
  • Tim Molter
  • How To, Memristor
  • 8 Comment

[popupwfancybox id=”7″] In 2012, Chris Yakopcic co-authored a book chapter in the book titled Advances in Neuromorphic Memristor Science and Applications, featuring a chapter on memristor modeling in LTSpice. In this chapter, he does a wonderf... read more

Thermodynamic Computing

  • 2017-02-27
  • Alex Nugent
  • Knowm and AHaH Computing, Memristor, Philosophical, Thermodynamic RAM
  • 4 Comment

Is there something else out there? At a fundamental level, everything in the Universe originates from natural processes of self-organization. At the lowest levels we see simple and highly deterministic processes or ‘rules’ that guide the time-... read more

Review of 2017 Energy Consequences of Information Conference

  • 2017-02-28
  • Tim Molter
  • Announcements, Knowm and AHaH Computing, Machine Learning, Memristor, Thermodynamic RAM
  • 0 Comment

[popupwfancybox id=”6″] AHaH Computing, Thermodynamic Computing, Competitive Computing, Memristive Dot-product Engines, Dual Memristor Cross bars – are these all different names or variation of the same thing? All are gaining the attenti... read more

Simulating the Knowm M-MSS Memristor Model Using Qucs-S with Xyce

  • 2017-03-05
  • Michael Arendall
  • How To, Memristor, Technical
  • 3 Comment

[popupwfancybox id=”6″] In a previous post titled Knowm Memristor Modeling and Simulation, I presented the implementation of a Verilog-A version of the Knowm MSS model within industry standard commercial EDA tools. Today I’ll be discussi... read more

Review of 5th Neuro-Inspired Computational Elements Workshop (NICE 2017)

  • 2017-03-15
  • Alex Nugent
  • Memristor, Research
  • 0 Comment

[popupwfancybox id=”6″] The Knowm team attended this year’s NICE workshop at IBM Almaden, sponsored by Semiconductor Research Corporation, IBM and the Kavli Foundation. The conference was filled with a good sampling of the modern celebri... read more

Simulating Xyce OpenModels – Memristor Models with Qucs-S and Xyce

  • 2017-04-11
  • Michael Arendall
  • How To, Memristor, Technical
  • 0 Comment

[popupwfancybox id=”6″] Overview This is the second in a series of posts that I will be publishing to serve as tutorials for using the Knowm OSS EDA Stack to support the design, layout and simulation of memristors and neuro-memristive circuits... read more

Simulating the Knowm M-MSS Memristor Model Pulse Response with Qucs-S and Xyce

  • 2017-04-12
  • Michael Arendall
  • How To, Memristor, Technical
  • 0 Comment

[popupwfancybox id=”6″] In a previous post titled Simulating the Knowm M-MSS Memristor Model Using Qucs-S with Xyce, I presented the use of the open-source project Qucs-S – Quite Universal Circuit Simulator featuring the Spice4qucs branc... read more

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