Expertises
Material Science
- Devices
- Material
- Doping (Additives)
- Temperature
- Density
- Halide
Chemistry
- Doping Material
Physics
- Networks
Organisaties
Publicaties
2023
Dopant network processing units as tuneable extreme learning machines, Article 1055527. van de Ven, B., Alegre-Ibarra, U., Lemieszczuk, P. J., Bobbert, P. A., Ruiz Euler, H. C. & van der Wiel, W. G.https://doi.org/10.3389/fnano.2023.1055527Thermodynamic Origin of the Photostability of the Two-Dimensional Perovskite PEA2Pb(I1-xBrx)4, 943-949. Chen, Z., Xue, H., Brocks, G., Bobbert, P. A. & Tao, S.https://doi.org/10.1021/acsenergylett.2c02463
2022
Light-tunable three-phase coexistence in mixed halide perovskites, Article 134110. Chen, Z., Brocks, G., Tao, S. & Bobbert, P. A.https://doi.org/10.1103/PhysRevB.106.134110Classification using Dopant Network Processing Units. University of Twente. van de Ven, B.https://doi.org/10.3990/1.9789036553735Hopping-Transport Mechanism for Reconfigurable Logic in Disordered Dopant Networks, Article 064025. Tertilt, H., Bakker, J., Becker, M., Wilde, de, B., Klanberg, I., Geurts, B. J., van der Wiel, W. G., Heuer, A. & Bobbert, P. A.https://doi.org/10.1103/PhysRevApplied.17.064025
2021
Dopant Network Processing Units: Towards Efficient Neural-network Emulators with High-capacity Nanoelectronic Nodes, Article 024002. Ruiz Euler, H.-C., Alegre Ibarra, U., van de Ven, B., Broersma, H., Bobbert, P. A. & van der Wiel, W. G.https://doi.org/10.1088/2634-4386/ac1a7fGradient Descent in Materio. ArXiv.org. Boon, M. N., Ruiz Euler, H.-C., Chen, T., van de Ven, B., Alegre Ibarra, U., Bobbert, P. A. & van der Wiel, W. G.https://doi.org/10.48550/arXiv.2105.11233Unified theory for light-induced halide segregation in mixed halide perovskites, Article 2687. Chen, Z., Brocks, G., Tao, S. & Bobbert, P. A.https://doi.org/10.1038/s41467-021-23008-z1/ f Noise and Machine Intelligence in a Nonlinear Dopant Atom Network, Article 2000014. Chen, T., Bobbert, P. A. & van der Wiel, W. G.https://doi.org/10.1002/smsc.202000014
2020
A deep learning approach to realize funtionality in nanoelectronic devices, 992-998. Ruiz Euler, H.-C., Boon, M. N., Wildeboer, J. T., van de Ven, B., Chen, T., Broersma, H., Bobbert, P. A. & van der Wiel, W. G.https://doi.org/10.1038/s41565-020-00779-y
Onderzoeksprofielen
Vakken collegejaar 2023/2024
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken collegejaar 2022/2023
- 191211219 - Master Thesis Project
- 201600017 - Final Project Preparation
- 201700174 - Internship & Job Orientation Project NT
- 201900200 - Final Project EMSYS
- 201900223 - Capita Selecta Electrical Engineering
- 202001434 - Internship EMSYS
- 202200342 - Combined Final Project EE/I-Tech
- 202200401 - Combined Final Project I-Tech/BME
Adres
![](/.uc/ia3848a2a0103e7e5110085e4f403ff94cdef11c068080801e3bc0268018041/carre.png)
Universiteit Twente
Carré
Postbus 217
7500 AE Enschede