Atomic-scale ultrafast dynamics of local charge order in a THz-induced metastable state of 1T-TaS2
Luis E. Parra L\'opez, Alkisti Vaitsi, Vivien Sleziona, Fabian Schulz, Martin Wolf, and Melanie M\"uller

TL;DR
This study employs terahertz scanning tunneling microscopy to observe atomic-scale ultrafast charge order dynamics in 1T-TaS2, revealing defect-related metastable states and their oscillatory behaviors on femtosecond timescales.
Contribution
It introduces a novel application of THz STM to directly visualize and analyze ultrafast charge density wave dynamics at atomic resolution in quantum materials.
Findings
THz excitation causes angstrom-scale changes in the insulating gap.
Observation of 2.5 THz oscillations in charge density wave amplitude.
Detection of a 1.3 THz interlayer shear vibration mode near defects.
Abstract
Light-induced control of quantum materials enables manipulation of electronic and structural phases on ultrafast timescales. Probing their atomic-scale dynamics is essential to understand the role of defects and domain boundaries, but conventional time-resolved techniques lack the required spatial resolution. Here, we use terahertz (THz) scanning tunneling microscopy to investigate a THz-light-induced metastable state near a defect in 1T-TaS2, and follow its photoinduced dynamics in real space and time. THz excitation induces quasi-stationary changes in the insulating gap on angstrom scales, which we associate with interlayer stacking changes. Simultaneously, THz-lightwave-driven tunneling provides access to ultrafast dynamics of the metastable state, revealing 2.5 THz oscillations of the charge density wave amplitude mode and a 1.3 THz mode attributed to an interlayer shear vibration…
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
TopicsOrganic and Molecular Conductors Research · Molecular Junctions and Nanostructures · Machine Learning in Materials Science
