On SPICE macromodelling of TiO 2 memristors

By S. Benderli, T. Wey. 2009

205 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a623d17b96942f6bfde7743cac083c17a628024e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Leon Ong Chua
2. Hyongsuk Kim
3. Maheshwar Prasad Sah
4. Changju Yang
5. M. Di Ventra
6. Yuriy V. Pershin
7. Christos Papavassiliou
8. T. Prodromakis

In Electrical and Electronic Engineering

1. Leon Ong Chua
2. Yuriy V. Pershin
3. M. Di Ventra
4. Hyongsuk Kim
5. Maheshwar Prasad Sah
6. T. Prodromakis
7. Changju Yang
8. Christos Papavassiliou

Citations in the corpus

• A Versatile Memristor Model With Nonlinear Dopant Kinetics (2011, methodology): “When compared with previously reported data [16-19], this pinched hysteresis loop is shown to be asymmetrical while the OFF state of the device is highly non-linear.”
• Practical Approach to Programmable Analog Circuits With Memristors (2009, methodology): “], [17], [18], [19], [20]. To interpret the experimental observations and predict a circuit behaviour, a number of theoretical models were developed [2], [3], [21], [22], [1], [23], [24], [25], [26], [27], [28], [29] including SPICE models [27], [28], [29]. Memristors offer a nonvolatile memory stor”
• Memristor Emulator for Memristor Circuit Applications (2012, background): “Indeed, several research groups presented spice macro models [14]–[17], which are useful for simulating memristor.”