Faculty

Institution

Unit

Venue

Dan Schult

Charles G Hetherington Professor of Mathematics Emeritus

Colgate University

Affiliations

Colgate University

Division of Natural Sciences and Mathematics

Mathematics Department

Dan Schult is currently serving as a Colgate University Charles G Hetherington Professor of Mathematics Emeritus at Colgate University.

Honors

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Experiences

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Education

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Dan Schult

Colgate University

Charles G Hetherington Professor of Mathematics Emeritus

You can click a keyword to filter the displayed items

combustion neuroscience applied physics physics neural circuits neuronal networks neurons dynamical systems network analysis network science nonlinear dynamics nonlinear phenomena combustion science biophysics computational neuroscience fluid mechanics bio-inspired computation theoretical biology nonlinear science global networks neurodynamics combustion engineering combustion theory fluid flow thermal engineering network theory nonlinear oscillations dynamic networks laminar flame circuit simulation reactant depletion polymer testing fire technology electronics numerical simulations cluster computing condensed matter scientific computing network dynamics network models brain circuitry wave propagation nonlinear wave propagation oscillation theory network mechanism chaos theory network robustness hydrodynamic stability wave group wave theory rogue waves structural plasticity polymer engineering polymer technology polymer materials heterogeneous combustion graph processing graph query language graph analysis network analytics superconducting materials network structure josephson junction simulation picosecond time scale synchronization dynamics threshold networks phase-flip bifurcation smoulder waves superconducting synapse biologically realistic behaviors forced opposed-flow smolder dopant distribution biological neurons combustion waves josephson circuits porous medium combustion transport phenomena combustion institute nonlinear systems biosystems social simulation mathematical bioscience combustion flame complex systems modeling and simulation neural engineering fractals quantitative biology numerical mathematics mathematical biology natural computing computational engineering computational mechanics pattern formation multiscale modeling system science systems neuroscience nonlinear analysis artificial life differential equations statistical mechanics applied mathematics human brain fluid dynamics systems biology computational fluid dynamics diffusion engineering

Notable Scholarly Works

Notable Federal Grants

Collaborators

Simulation of Josephson Junction Circuits With Only Ordinary Differential Equations. IEEE Transactions on Applied Superconductivity (2025)

circuit simulationcircuit analysiselectrical engineeringdifferential equationsjosephson junction circuitsdevice modelingordinary differential equations

Fast and Easy Graph Analytics With the Networkx Ecosystem of Backends. (2024)

network analysiseasy graph analyticsknowledge graphsgraph processingglobal networksgraph theorygraph query languagecluster computinggraph analysisnetworkx ecosystemnetwork sciencedata sciencenetwork analyticscomputer science

Sparse Arrays in Scipy.Sparse. (2024)

scientific computingcomputational mathematicsnumerical algorithmssparse representationssparse arrayscompressive sensingcomputational sciencesignal reconstruction

A Superconducting Synapse Exhibiting Spike-Timing Dependent Plasticity. Applied Physics Letters (2023)

bio-inspired computationstructural plasticityneural circuitssuperconducting synapseapplied physicsneurodynamics

Biologically Realistic Behaviors From a Superconducting Neuron Model. IEEE Transactions on Applied Superconductivity (2023)

biologically realistic behaviorsbiophysicsbio-inspired computationcomputational neuroscienceneurodynamicsneuronal networkstheoretical biologyneuroscienceneurons

Synchronization Dynamics on the Picosecond Time Scale in Coupled Josephson Junction Neurons. Physical review. E (2017)

physicsbiophysicsoscillation theoryneural circuitsnonlinear dynamicsnonlinear phenomenadynamical systemsnonlinear sciencenonlinear oscillationsneurodynamicspicosecond time scaleneuronal networksneuroscienceneurophysiologyneuronssynchronization dynamics

Phase-Flip Bifurcation in a Coupled Josephson Junction Neuron System. Physica B Condensed Matter (2014)

phase-flip bifurcationneural circuitsnonlinear phenomenadynamical systemsnonlinear sciencenonlinear oscillationsneurosciencenonlinear dynamics

Neural Dynamics in Superconducting Networks. Bulletin of the American Physical Society (2012)

physicssuperconductivitysuperconducting materialsneural circuitscondensed matterneural computationapplied physicsneural network (machine learning)neural dynamicsneuronal networks

Numerical Simulation of Thermal Noise in Josephson Circuits. arXiv (Cornell University) (2011)

physicscircuit simulationjosephson circuitsthermal engineeringelectronicselectrical engineeringnumerical simulationsnoise

Josephson Junction Simulation of Neurons. Physical Review E (2010)

biophysicsbio-inspired computationneural circuitscomputational neurosciencebrain circuitryjosephson junction simulationneural computationneural engineeringneuronal networkstheoretical biologyneuroscienceneurons

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Dan Schult

Charles G Hetherington Professor of Mathematics Emeritus

Colgate University

Affiliations

Colgate University

Division of Natural Sciences and Mathematics

Mathematics Department

Dan Schult is currently serving as a Colgate University Charles G Hetherington Professor of Mathematics Emeritus at Colgate University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dan Schult

Colgate University

Charles G Hetherington Professor of Mathematics Emeritus

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Simulation of Josephson Junction Circuits With Only Ordinary Differential Equations. IEEE Transactions on Applied Superconductivity (2025)

circuit simulationcircuit analysiselectrical engineeringdifferential equationsjosephson junction circuitsdevice modelingordinary differential equations

Fast and Easy Graph Analytics With the Networkx Ecosystem of Backends. (2024)

Sparse Arrays in Scipy.Sparse. (2024)

scientific computingcomputational mathematicsnumerical algorithmssparse representationssparse arrayscompressive sensingcomputational sciencesignal reconstruction

A Superconducting Synapse Exhibiting Spike-Timing Dependent Plasticity. Applied Physics Letters (2023)

bio-inspired computationstructural plasticityneural circuitssuperconducting synapseapplied physicsneurodynamics

Biologically Realistic Behaviors From a Superconducting Neuron Model. IEEE Transactions on Applied Superconductivity (2023)

biologically realistic behaviorsbiophysicsbio-inspired computationcomputational neuroscienceneurodynamicsneuronal networkstheoretical biologyneuroscienceneurons

Synchronization Dynamics on the Picosecond Time Scale in Coupled Josephson Junction Neurons. Physical review. E (2017)

Phase-Flip Bifurcation in a Coupled Josephson Junction Neuron System. Physica B Condensed Matter (2014)

phase-flip bifurcationneural circuitsnonlinear phenomenadynamical systemsnonlinear sciencenonlinear oscillationsneurosciencenonlinear dynamics

Neural Dynamics in Superconducting Networks. Bulletin of the American Physical Society (2012)

physicssuperconductivitysuperconducting materialsneural circuitscondensed matterneural computationapplied physicsneural network (machine learning)neural dynamicsneuronal networks

Numerical Simulation of Thermal Noise in Josephson Circuits. arXiv (Cornell University) (2011)

physicscircuit simulationjosephson circuitsthermal engineeringelectronicselectrical engineeringnumerical simulationsnoise

Josephson Junction Simulation of Neurons. Physical Review E (2010)

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3
10 / page