Memristive systems have been extensively explored for the realization of novel computing hardware architectures. In addition to conventional crossbar arrays based on two-terminal memristive cells, multiterminal memristive systems formed by self-organizing networks of nanoscale components have attracted growing interest. Here, we discuss the concept of transmemristance in multiterminal memristive networks, where emergent memristive behavior arises from the mutual interactions among a large number of nanowires (NWs). We show that transmemristance offers a new perspective for probing the internal dynamics of such systems, providing insights into their spatiotemporal evolution. Moreover, it can serve as a measurable physical quantity that reflects the internal state of the network and can be harnessed for the hardware implementation of unconventional computing paradigms.
Transmemristance in multiterminal memristive nanowire networks
Milano, Gianluca;Miranda, Enrique;Ricciardi, Carlo
2026
Abstract
Memristive systems have been extensively explored for the realization of novel computing hardware architectures. In addition to conventional crossbar arrays based on two-terminal memristive cells, multiterminal memristive systems formed by self-organizing networks of nanoscale components have attracted growing interest. Here, we discuss the concept of transmemristance in multiterminal memristive networks, where emergent memristive behavior arises from the mutual interactions among a large number of nanowires (NWs). We show that transmemristance offers a new perspective for probing the internal dynamics of such systems, providing insights into their spatiotemporal evolution. Moreover, it can serve as a measurable physical quantity that reflects the internal state of the network and can be harnessed for the hardware implementation of unconventional computing paradigms.| File | Dimensione | Formato | |
|---|---|---|---|
|
2026_EDTM_IEEE_transmemristance.pdf
accesso riservato
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
1.07 MB
Formato
Adobe PDF
|
1.07 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/3010873
