Evidence map›Paper›PMID 37260467›Full record

ReviewACS applied optical materials2023

Ultrafast Dynamics Revealed with Time-Resolved Scanning Tunneling Microscopy: A Review.

Kangkai Liang, Liya Bi, Qingyi Zhu, Hao Zhou, Shaowei Li

Open access · hybridAbstract readReview
In one paragraph

Review in ACS applied optical materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Molecular Rectification: Mechanisms, Modulation Strategies, and Device Realization.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Kangkai LiangDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093-0309, United States.
Liya BiDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093-0309, United States.
Qingyi ZhuDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093-0309, United States.
Hao ZhouDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093-0309, United States.
Shaowei LiDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California 92093-0309, United States.ORCID https://orcid.org/0000-0002-4627-626X
University of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A scanning tunneling microscope (STM) capable of performing pump-probe spectroscopy integrates unmatched atomic-scale resolution with high temporal resolution. In recent years, the union of electronic, terahertz, or visible/near-infrared pulses with STM has contributed to our understanding of the atomic-scale processes that happen between milliseconds and attoseconds. This time-resolved STM (TR-STM) technique is evolving into an unparalleled approach for exploring the ultrafast nuclear, electronic, or spin dynamics of molecules, low-dimensional structures, and material surfaces. Here, we review the recent advancements in TR-STM; survey its application in measuring the dynamics of three distinct systems, nucleus, electron, and spin; and report the studies on these transient processes in a series of materials. Besides the discussion on state-of-the-art techniques, we also highlight several emerging research topics about the ultrafast processes in nanoscale objects where we anticipate that the TR-STM can help broaden our knowledge.

Identifiers

PMID37260467
PMCPMC10227725
OpenAlexW4327742756

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.