Current driven insulator-to-metal transition without Mott breakdown in Ca$_2$RuO$_4$
Davide Curcio, Charlotte E. Sanders, Alla Chikina, Henriette E. Lund,, Marco Bianchi, Veronica Granata, Marco Cannavacciuolo, Giuseppe Cuono,, Carmine Autieri, Filomena Forte, Alfonso Romano, Mario Cuoco, Pavel Dudin,, Jose Avila, Craig Polley, Thiagarajan Balasubramanian

TL;DR
This study reveals that the insulator-to-metal transition in Ca$_2$RuO$_4$ driven by current does not involve Mott breakdown but results from structural domain coexistence reducing the electronic gap, challenging previous assumptions.
Contribution
The paper demonstrates that the current-induced IMT in Ca$_2$RuO$_4$ occurs without Mott breakdown, highlighting the role of structural inhomogeneity and domain boundaries in conductivity increase.
Findings
The IMT occurs with minimal reorganization of the Mott state.
Structural domains coexist and facilitate gap reduction.
The transition does not require metallic and insulating phase coexistence.
Abstract
The electrical control of a material's conductivity is at the heart of modern electronics. Conventionally, this control is achieved by tuning the density of mobile charge carriers. A completely different approach is possible in Mott insulators such as CaRuO, where an insulator-to-metal transition (IMT) can be induced by a weak electric field or current. This phenomenon has numerous potential applications in, e.g., neuromorphic computing. While the driving force of the IMT is poorly understood, it has been thought to be a breakdown of the Mott state. Using in operando angle-resolved photoemission spectroscopy, we show that this is not the case: The current-driven conductive phase arises with only a minor reorganisation of the Mott state. This can be explained by the co-existence of structurally different domains that emerge during the IMT. Electronic structure calculations show…
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.
Taxonomy
TopicsAdvanced Memory and Neural Computing · Quantum Computing Algorithms and Architecture · Phase-change materials and chalcogenides
