@ARTICLE{Karam2024-ea,
  title         = "{Parameter extraction for a superconducting thermal switch
                   (hTron) SPICE model}",
  author        = "Karam, Valentin and Medeiros, Owen and Dandachi, Tareq El and
                   Castellani, Matteo and Foster, Reed and Colangelo, Marco and
                   Berggren, Karl",
  journal       = "arXiv [physics.app-ph]",
  abstract      = "Efficiently simulating large circuits is crucial for the
                   broader use of superconducting nanowire-based electronics.
                   However, current simulation tools for this technology are not
                   adapted to the scaling of circuit size and complexity. We
                   focus on the multilayered heater-nanocryotron (hTron), a
                   promising superconducting nanowire-based switch used in
                   applications such as superconducting nanowire single-photon
                   detector (SNSPD) readout. Previously, the hTron was modeled
                   using traditional finite-element methods (FEM), which fall
                   short in simulating systems at a larger scale. An
                   empirical-based method would be better adapted to this task,
                   enhancing both simulation speed and agreement with
                   experimental data. In this work, we perform switching current
                   and activation delay measurements on 17 hTron devices. We
                   then develop a method for extracting physical fitting
                   parameters used to characterize the devices. We build a SPICE
                   behavioral model that reproduces the static and transient
                   device behavior using these parameters, and validate it by
                   comparing its performance to the model developed in a prior
                   work, showing an improvement in simulation time by several
                   orders of magnitude. Our model provides circuit designers
                   with a tool to help understand the hTron's behavior during
                   all design stages, thus promoting broader use of the hTron
                   across various new areas of application.",
  month         =  "22~" # jan,
  year          =  2024,
  archivePrefix = "arXiv",
  primaryClass  = "physics.app-ph",
  keywords      = "GoogleScholar"
}

{"_id":"erRgsv2uKyWBZ5JLQ","bibbaseid":"karam-medeiros-dandachi-castellani-foster-colangelo-berggren-parameterextractionforasuperconductingthermalswitchhtronspicemodel-2024","author_short":["Karam, V.","Medeiros, O.","Dandachi, T. E.","Castellani, M.","Foster, R.","Colangelo, M.","Berggren, K."],"bibdata":{"bibtype":"article","type":"article","title":"Parameter extraction for a superconducting thermal switch (hTron) SPICE model","author":[{"propositions":[],"lastnames":["Karam"],"firstnames":["Valentin"],"suffixes":[]},{"propositions":[],"lastnames":["Medeiros"],"firstnames":["Owen"],"suffixes":[]},{"propositions":[],"lastnames":["Dandachi"],"firstnames":["Tareq","El"],"suffixes":[]},{"propositions":[],"lastnames":["Castellani"],"firstnames":["Matteo"],"suffixes":[]},{"propositions":[],"lastnames":["Foster"],"firstnames":["Reed"],"suffixes":[]},{"propositions":[],"lastnames":["Colangelo"],"firstnames":["Marco"],"suffixes":[]},{"propositions":[],"lastnames":["Berggren"],"firstnames":["Karl"],"suffixes":[]}],"journal":"arXiv [physics.app-ph]","abstract":"Efficiently simulating large circuits is crucial for the broader use of superconducting nanowire-based electronics. However, current simulation tools for this technology are not adapted to the scaling of circuit size and complexity. We focus on the multilayered heater-nanocryotron (hTron), a promising superconducting nanowire-based switch used in applications such as superconducting nanowire single-photon detector (SNSPD) readout. Previously, the hTron was modeled using traditional finite-element methods (FEM), which fall short in simulating systems at a larger scale. An empirical-based method would be better adapted to this task, enhancing both simulation speed and agreement with experimental data. In this work, we perform switching current and activation delay measurements on 17 hTron devices. We then develop a method for extracting physical fitting parameters used to characterize the devices. We build a SPICE behavioral model that reproduces the static and transient device behavior using these parameters, and validate it by comparing its performance to the model developed in a prior work, showing an improvement in simulation time by several orders of magnitude. Our model provides circuit designers with a tool to help understand the hTron's behavior during all design stages, thus promoting broader use of the hTron across various new areas of application.","month":"22 January","year":"2024","archiveprefix":"arXiv","primaryclass":"physics.app-ph","keywords":"GoogleScholar","bibtex":"@ARTICLE{Karam2024-ea,\n title = \"{Parameter extraction for a superconducting thermal switch\n (hTron) SPICE model}\",\n author = \"Karam, Valentin and Medeiros, Owen and Dandachi, Tareq El and\n Castellani, Matteo and Foster, Reed and Colangelo, Marco and\n Berggren, Karl\",\n journal = \"arXiv [physics.app-ph]\",\n abstract = \"Efficiently simulating large circuits is crucial for the\n broader use of superconducting nanowire-based electronics.\n However, current simulation tools for this technology are not\n adapted to the scaling of circuit size and complexity. We\n focus on the multilayered heater-nanocryotron (hTron), a\n promising superconducting nanowire-based switch used in\n applications such as superconducting nanowire single-photon\n detector (SNSPD) readout. Previously, the hTron was modeled\n using traditional finite-element methods (FEM), which fall\n short in simulating systems at a larger scale. An\n empirical-based method would be better adapted to this task,\n enhancing both simulation speed and agreement with\n experimental data. In this work, we perform switching current\n and activation delay measurements on 17 hTron devices. We\n then develop a method for extracting physical fitting\n parameters used to characterize the devices. We build a SPICE\n behavioral model that reproduces the static and transient\n device behavior using these parameters, and validate it by\n comparing its performance to the model developed in a prior\n work, showing an improvement in simulation time by several\n orders of magnitude. Our model provides circuit designers\n with a tool to help understand the hTron's behavior during\n all design stages, thus promoting broader use of the hTron\n across various new areas of application.\",\n month = \"22~\" # jan,\n year = 2024,\n archivePrefix = \"arXiv\",\n primaryClass = \"physics.app-ph\",\n keywords = \"GoogleScholar\"\n}\n\n","author_short":["Karam, V.","Medeiros, O.","Dandachi, T. E.","Castellani, M.","Foster, R.","Colangelo, M.","Berggren, K."],"key":"Karam2024-ea","id":"Karam2024-ea","bibbaseid":"karam-medeiros-dandachi-castellani-foster-colangelo-berggren-parameterextractionforasuperconductingthermalswitchhtronspicemodel-2024","role":"author","urls":{},"keyword":["GoogleScholar"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://paperpile.com/eb/EuldKRPPeT","dataSources":["cjodA4Ah9rPt2eiZr"],"keywords":["googlescholar"],"search_terms":["parameter","extraction","superconducting","thermal","switch","htron","spice","model","karam","medeiros","dandachi","castellani","foster","colangelo","berggren"],"title":"Parameter extraction for a superconducting thermal switch (hTron) SPICE model","year":2024}