On the physical properties of memristive, memcapacitive, and meminductive systems
M. Di Ventra, Y. V. Pershin

TL;DR
This paper explores the physical properties of memristive, memcapacitive, and meminductive systems, revealing that these elements can have diverging and negative response functions, challenging previous assumptions about their behavior and stability.
Contribution
It provides a microscopic and response function-based analysis showing that memristive, memcapacitive, and meminductive systems can exhibit diverging, negative, and non-physical values, and discusses the limitations of ideal memory elements.
Findings
Memristive, memcapacitive, and meminductive systems can have diverging response functions.
Negative values of memcapacitances and meminductances are physically possible during dynamics.
Ideal memristors are susceptible to stochastic fluctuations and cannot perfectly protect their memory state.
Abstract
We discuss the physical properties of realistic memristive, memcapacitive and meminductive systems. In particular, by employing the well-known theory of response functions and microscopic derivations, we show that resistors, capacitors and inductors with memory emerge naturally in the response of systems - especially those of nanoscale dimensions - subjected to external perturbations. As a consequence, since memristances, memcapacitances, and meminductances are simply response functions, they are not necessarily finite. This means that, unlike what has always been argued in some literature, diverging and non-crossing input-output curves of all these memory elements are physically possible in both quantum and classical regimes. For similar reasons, it is not surprising to find memcapacitances and meminductances that acquire negative values at certain times during dynamics, while the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
