Expertises

  • Material Science

    • Devices
    • Halide
    • Material
    • Doping (Additives)
    • Temperature
    • Density
  • Chemistry

    • Doping Material
  • Physics

    • Networks

Organisaties

Publicaties

2023

Dopant network processing units as tuneable extreme learning machines (2023)Frontiers in Nanotechnology, 5. 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 (2023)ACS Energy Letters, 8(2), 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 (2022)Physical review B: Covering condensed matter and materials physics, 106(13). Article 134110. Chen, Z., Brocks, G., Tao, S. & Bobbert, P. A.https://doi.org/10.1103/PhysRevB.106.134110Light-tunable three-phase coexistence in mixed halide perovskites (2022)Physical review B: Covering condensed matter and materials physics, 106(13). Article 134110. Chen, Z., Brocks, G., Tao, S. & Bobbert, P. A.https://doi.org/10.1103/PhysRevB.106.134110Light-tunable three-phase coexistence in mixed halide perovskites (2022)Physical review B: Covering condensed matter and materials physics. Chen, Z., Brocks, G., Tao, S. & Bobbert, P. A.https://doi.org/10.1103/PhysRevB.106.134110Light-tunable three-phase coexistence in mixed halide perovskites (2022)[Working paper › Preprint]. ArXiv.org. Chen, Z., Brocks, G., Tao, S. & Bobbert, P. A.https://doi.org/10.48550/arXiv.2208.10621Classification using Dopant Network Processing Units (2022)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. van de Ven, B.https://doi.org/10.3990/1.9789036553735Hopping-Transport Mechanism for Reconfigurable Logic in Disordered Dopant Networks (2022)Physical review applied, 17. 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 (2021)Neuromorphic Computing and Engineering, 1(2). 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 (2021)[Working paper › Preprint]. 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.2105.11233

Onderzoeksprofielen

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