prof.dr. P.A. Bobbert (Peter)


About Me

Peter Bobbert is Associate Professor at the TU Eindhoven and part-time Professor at the University of Twente. He studied at Leiden University and obtained his PhD there in 1988 on the theory of light scattering of rough surfaces. As postdoc at Utrecht University, he performed electrochemical experiments related to his PhD research. He acquired a postdoctoral fellowship of the Royal Dutch Academy of Sciences at Delft University of Technology, where he worked on quantum phase transitions in arrays of Josephson junctions from 1989-1991. This was followed by a stay as guest scientist at Harvard University, where he worked on vortex dynamics in arrays of Josephson junctions. In 1991 he joined Eindhoven University of Technology, where he worked initially on ab initio electronic structure calculations of inorganic materials using Green-function approaches. In 1998 he started his work on the theory of organic electronics and devices: organic field-effect transistors (OFETs), organic light-emitting diodes (OLEDs), and organic photovoltaic (OPV) devices. Together with Philips Research he has developed organic device modelling software that is now being commercialized by the company Simbeyond, of which he is co-founder. Since 2016 he is part-time professor “Theory of Organic and Hybrid Nanoelectronics” in the group NanoElectronics at the Department of Electrical Engineering, Mathematics and Computer Science of Twente University. In 2017 he took up the position of Associate Scientific Director of the Center for Computational Energy Research (CCER), which he helped establishing. He has published over 200 papers with over 7000 citations. His H-index is 44 (Google Scholar).


Engineering & Materials Science
Doping (Additives)
Neural Networks
Organic Field Effect Transistors
Physics & Astronomy
Organic Semiconductors


van de Ven, B., Alegre-Ibarra, U., Lemieszczuk, P. J. , Bobbert, P. A., Ruiz Euler, H. C. , & van der Wiel, W. G. (2023). Dopant network processing units as tuneable extreme learning machines. Frontiers in Nanotechnology, 5, Article 1055527. https://doi.org/10.3389/fnano.2023.1055527
Tertilt, H., Bakker, J., Becker, M., Wilde, de, B., Klanberg, I. , Geurts, B. J. , van der Wiel, W. G., Heuer, A. , & Bobbert, P. A. (2022). Hopping-Transport Mechanism for Reconfigurable Logic in Disordered Dopant Networks. Physical review applied, 17, Article 064025. https://doi.org/10.1103/PhysRevApplied.17.064025
Chen, Z. , Brocks, G., Tao, S. , & Bobbert, P. A. (2022). Light-tunable three-phase coexistence in mixed halide perovskites. Physical review B: Covering condensed matter and materials physics, 106(13), Article 134110. https://doi.org/10.1103/PhysRevB.106.134110
van de Ven, B. (2022). Classification using Dopant Network Processing Units. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036553735
Boon, M. N., Ruiz Euler, H-C. , Chen, T., van de Ven, B., Alegre Ibarra, U. , Bobbert, P. A. , & van der Wiel, W. G. (2021). Gradient Descent in Materio. ArXiv.org. https://doi.org/10.48550/arXiv.2105.11233

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Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré (building no. 15)
Hallenweg 21
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
P.O. Box 217
7500 AE Enschede
The Netherlands