FOR 2093



Double-Barrier Memristive Devices for Unsupervised Learning and Pattern Recognition
Hansen, M.; Zahari, F.; Ziegler M.;  Kohlstedt H.
Front. Neurosci. 11:91 (2017).

Resistive Switching in Electrochemical Metallization Cells: A 3D Kinetic Simulation Approach
Dirkmann, S., Mussenbrock, T.
arXiv preprint arXiv:1703.02946 (2017).

Memristive device based on a depletion-type SONOS field effect transistor
Himmel, N., Ziegler, M., Mähne, H., Thiem, S., Winterfeld, H., Kohlstedt, H.
Semicond. Sci. Technol. (2017).

Localized Synthesis of Iron Oxide Nanowires and Fabrication of High Performance Nanosensors Based on a Single Fe2O3 Nanowire
Lupan, O., Postica, V., Wolff, N., Polonskyi, O., Duppel, V., Kaidas, V., Lazari, E., Ababii, N., Faupel, F., Kienle, L., Adelung, R.
Small 13 (2017).

Integrated Circuit with memristor emulator array and neuron circuits for biologically inspired neuromorphic pattern recognition
R. Ranjan, P.M. Ponce, W.L. Hellweg, A. Kyrmanidis, L.A. Saleh, D. Schroeder, W.H. Krautschneider
Journal of Circuits and Computers 26:11, 1750183 (2017).

An enhanced lumped element electrical model of a double barrier memristive device
Solan, E., Dirkmann, S., Hansen, M., Schroeder, D., Kohlstedt, H., Ziegler, M., Thomas Mussenbrock, Ochs, K.
J. Phys. D: Appl. Phys. 50, 195102 (2017).

In depth nano spectroscopic analysis on homogeneously switching double barrier memristive devices
Strobel, J., Hansen, M., Dirkmann, S., Neelisetty, K. K., Ziegler, M., Haberfehlner, G., Popescu, R., Kothleitner, G., Chakravadhanula, V. S. K., Kübel, C., Kohlstedt, H., Mussenbrock, T., Kienle, L.
arXiv preprint arXiv:1703.06741 (2017).

Single target sputter deposition of alloy nanoparticles with adjustable composition via a gas aggregation cluster source
Vahl, A., Strobel, J., Reichstein, W., Polonskyi, O., Strunskus, T., Lorenz Kienle, Faupel, F.
Nanotechnology 28, 175703 (2017).