23 citations · 42 across the 7 of their papers we have counts for
7 papers
Synaptic plasticity in Co/Nb:STO memristive devices: The role of oxygen vacancies
Walter Quiñonez, Anouk Goossens, Diego Rubi +2
Neuromorphic computing aims to develop energy-efficient devices that mimic biological synapses. One promising approach involves memristive devices that can dynamically adjust their…
Polarization boost and ferroelectricity down to one unit cell in layered Carpy-Galy LaTiO thin films
Elzbieta Gradauskaite, Anouk S. Goossens, Xiaoyan Li +4
Layered perovskite-based compounds offer a range of unconventional properties enabled by their naturally anisotropic structure. While most renowned for the superconductivity observ…
Memristive Memory Enhancement by Device Miniaturization for Neuromorphic Computing
Anouk S. Goossens, Majid Ahmadi, Divyanshu Gupta +3
The areal footprint of memristors is a key consideration in material-based neuromorophic computing and large-scale architecture integration. Electronic transport in the most widely…
A Compact Model of Interface-Type Memristors Linking Physical and Device Properties
T. F. Tiotto, A. S. Goossens, A. E. Dima +4
Memristors are an electronic device whose resistance depends on the voltage history that has been applied to its two terminals. Despite its clear advantage as a computational eleme…
Anisotropy and Current Control of Magnetization in SrRuO SrTiO Heterostructures for Spin-Memristors
A. S. Goossens, M. A. T. Leiviskä, T. Banerjee
Spintronics-based nonvolatile components in neuromorphic circuits offer the possibility of realizing novel functionalities at low power. Current-controlled electrical switching of…
Learning to Approximate Functions Using Nb-doped SrTiO Memristors
Thomas F. Tiotto, Anouk S. Goossens, Jelmer P. Borst +2
Memristors have attracted interest as neuromorphic computation elements because they show promise in enabling efficient hardware implementations of artificial neurons and synapses.…