Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session G60: Computational Design, Understanding and Discovery of Novel Materials IV
11:30 AM–2:18 PM,
Tuesday, March 5, 2024
Room: 207AB
Sponsoring
Units:
DCOMP DMP DCMP
Chair: Demet Usanmaz, Kettering University; Corey Oses, Johns Hopkins University
Abstract: G60.00009 : A twist for electronic and caloritronic nanoswitches*
1:30 PM–1:42 PM
Presenter:
Azar Ostovan
(Mathematics Department, University of California, Santa Barbara, CA 93106, USA)
Authors:
Azar Ostovan
(Mathematics Department, University of California, Santa Barbara, CA 93106, USA)
Karolina Milowska
(CIC nanoGUNE, Donostia-San Sebastian, Spain)
Carlos J. Garcıa-Cervera
(Mathematics Department, University of California, Santa Barbara, CA 93106, USA)
Collaborations:
Carlos, J. Garcıa-Cervera
In the present study, we computationally investigated both electronic and thermal transport properties of junctions based on Zigzag Graphene Nano-Ribbon (ZGNR) and twisted rectangular benzenoids [6,3] flake in both AA and AB-stacking configurations. Our work demonstrated that AA-devices represent tuning from low conductance OFF-state for θ ≥ 2.2◦ to high conductance ON-state for θ ≤ 4.4◦. The AB-device remains at ON-state for all twisting values. Our analysis showed that the enabled switching is attributable to the formation of strong pz−pz interlayer interaction for lower rotational angles, enhancing the electron trapping at the top flake. Moreover, AA-devices exhibit a reduction in the energy gap as a function of θ, the semiconductor AA-1.1◦ turns metallic at AA-6.6◦. Surprisingly, the thermolectric calculations suggested that the twist between the ZGNR and flake could effectively engineer the heat flow through the AA-devices. Increased ZGNR lattice mismatch reduces the heat conductivity and then the Seebeck effect of AA-devices. This exciting phenomenon might be prosperous for emerging “twist caloritronics” in the future.
*Funding for this project was provided by AFOSR grant FA9550-18-1-0095. Use was made of computational facilities purchased with funds from the National Science Foundation (CNS-1725797) and administered by the Center for Scientific Computing (CSC). The CSC is supported by the California NanoSystems Institute and the Materials Research Science and Engineering Center (MRSEC; NSF DMR 1720256) at UC Santa Barbara.
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