Jan Trieschmann

According to our database, Jan Trieschmann authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Coexistence of Resistive Capacitive and Virtual Inductive Effects in Memristive Devices.

Sahitya Yarragolla, Torben Hemke, Jan Trieschmann, Thomas Mussenbrock

Proceedings of the 14th International Conference on Modern Circuits and Systems Technologies, 2025

2024

Towards a machine-learned Poisson solver for low-temperature plasma simulations in complex geometries.

Ihda Chaerony Siffa, Markus M. Becker, Klaus-Dieter Weltmann, Jan Trieschmann

Mach. Learn. Sci. Technol., 2024

Nonlinear behavior of area dependent interface type resistive switching devices.

Sahitya Yarragolla, Torben Hemke, Fares Jalled, Tobias Gergs, Jan Trieschmann, Tolga Arul, Thomas Mussenbrock

CoRR, 2024

2023

Machine learning for advancing low-temperature plasma modeling and simulation.

Jan Trieschmann, Luca Vialetto, Tobias Gergs

CoRR, 2023

Physics-separating artificial neural networks for predicting sputtering and thin film deposition of AlN in Ar/N$_2$ discharges on experimental timescales.

Tobias Gergs, Thomas Mussenbrock, Jan Trieschmann

CoRR, 2023

2022

Physics-separating artificial neural networks for predicting initial stages of Al sputtering and thin film deposition in Ar plasma discharges.

Tobias Gergs, Thomas Mussenbrock, Jan Trieschmann

CoRR, 2022

2021

Stochastic behaviour of an interface-based memristive device.

Sahitya Yarragolla, Torben Hemke, Jan Trieschmann, Finn Zahari, Hermann Kohlstedt, Thomas Mussenbrock

CoRR, 2021

An efficient plasma-surface interaction surrogate model for sputtering processes based on autoencoder neural networks.

Tobias Gergs, Borislav Borislavov, Jan Trieschmann

CoRR, 2021

2018

Machine learning plasma-surface interface for coupling sputtering and gas-phase transport simulations.

Florian Krüger, Tobias Gergs, Jan Trieschmann

CoRR, 2018