Evidence map›Paper›PMID 19323494›Full record

ArticleAccounts of chemical research2009

Coherent multidimensional optical probes for electron correlations and exciton dynamics: from NMR to X-rays.

Shaul Mukamel, Darius Abramavicius, Lijun Yang, Wei Zhuang, Igor V Schweigert, Dmitri V Voronine

Abstract read
In one paragraph

Article in Accounts of chemical research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Article
  2. A machine learning protocol for predicting structural distributions of amyloid-forming proteins from 2D IR spectra.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. AI protocol for retrieving protein dynamic structures from two-dimensional infrared spectra.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Unraveling dynamic protein structures by two-dimensional infrared spectra with a pretrained machine learning model.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

6 authors.

Shaul MukamelDepartment of Chemistry, University of California, Irvine, California, USA. smukamel@uci.edu
Darius Abramavicius
Lijun Yang
Wei Zhuang
Igor V Schweigert
Dmitri V Voronine

Funding

Multidimensional Femtosecond Correlation Spectroscopic Probes of BiomoleculesR01GM059230 · NIGMS · UNIVERSITY OF ROCHESTER · PI MUKAMEL, SHAUL · 2001 to 2013
$3.2M
NIGMS NIH HHS GM59230NIGMS NIH HHS R01 GM059230
6 · The paper itself

Abstract

Over the past 15 years, researchers have extended the multidimensional techniques which originated with NMR in the 1970s to infrared and visible coherent spectroscopy. These advances have dramatically enhanced the temporal resolution from the microsecond to the femtosecond regime. NMR spectroscopists have developed principles for the design of pulse sequences that enhance selected spectral features and reveal desired dynamical events. Extending these principles to the optical regime offers numerous opportunities for narrowing the line shapes in specific directions, unraveling weak cross-peaks from otherwise congested spectra, and controlling the interferences between quantum pathways. We can achieve these enhancements by shaping the spectral and temporal profiles of the pulses. Pulse polarization shaping may lead to unique probes of time-dependent chirality. In this Account, we compare two types of signals. The first, the photon echo, is generated in the direction -k(1) + k(2) + k(3), and the second, double quantum coherence, is detected at +k(1) + k(2) - k(3). Here k(1), k(2), and k(3) are the wave vectors of the three incoming pulses in chronological order. We illustrate the novel information extracted from these signals by simulations of three physical systems. In the first system, spectra of GaAs semiconductor quantum wells provide a direct look at many-body electron correlation effects. We directly observe specific projections of the many-electron wave function, which we can use to test the quality of various levels of computational techniques for electronic structure. Secondly, the spectra of photosynthetic aggregates reveal couplings between chromophores, quantum coherence signatures of chromophore entanglement, and energy-transfer pathways. Using some fundamental symmetries of pulse polarization configurations of nonlinear signals, we can construct superpositions of signals designed to better distinguish among various coherent and incoherent exciton transport pathways and amplify subtle variations among different species of the Fenna-Matthews-Olson (FMO) antenna complex. Both of the first two applications require femtosecond pulses of light in the visible range. The third application demonstrates how resonant core spectroscopy may be used to generate core excitations that are highly localized at selected atoms. Such signals can monitor the motions of valence electron wavepackets in real space with atomic spatial resolution. These future X-ray applications will require attosecond bright X-ray sources, which are currently being developed in several labs. Common principles underlie these techniques in coherent spectroscopy for spins, valence electrons, and core electronic excitations, spanning frequencies from radiowaves to hard X-rays.

Indexed as

ElectronsMagnetic Resonance SpectroscopySpectrometry, X-Ray EmissionX-Ray Absorption SpectroscopyEnergy TransferNanostructuresSemiconductors

Identifiers

PMID19323494
PMCPMC2753380

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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.