Search Results - "Bamberger, Nathan D."

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    Unsupervised Segmentation-Based Machine Learning as an Advanced Analysis Tool for Single Molecule Break Junction Data by Bamberger, Nathan D, Ivie, Jeffrey A, Parida, Keshaba N, McGrath, Dominic V, Monti, Oliver L. A

    Published in Journal of physical chemistry. C (20-08-2020)
    “…Improved understanding of charge-transport in single molecules is essential for harnessing the potential of molecules, e.g., as circuit components at the…”
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    Journal Article
  2. 2

    Correlated Energy-Level Alignment Effects Determine Substituent-Tuned Single-Molecule Conductance by Ivie, Jeffrey A, Bamberger, Nathan D, Parida, Keshaba N, Shepard, Stuart, Dyer, Dylan, Saraiva-Souza, Aldilene, Himmelhuber, Roland, McGrath, Dominic V, Smeu, Manuel, Monti, Oliver L.A

    Published in ACS applied materials & interfaces (27-01-2021)
    “…The rational design of single-molecule electrical components requires a deep and predictive understanding of structure–function relationships. Here, we explore…”
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    Journal Article
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    Grid-Based Correlation Analysis to Identify Rare Quantum Transport Behaviors by Bamberger, Nathan D, Dyer, Dylan, Parida, Keshaba N, McGrath, Dominic V, Monti, Oliver L. A

    Published 17-08-2021
    “…Journal of Physical Chemistry C, 2021 Most single-molecule transport experiments produce large and stochastic datasets containing a wide range of behaviors,…”
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    Journal Article
  7. 7

    Beyond Simple Structure-Function Relationships: Interplay Between Cis/Trans Isomerization and Geometrically Constrained Metal/Molecule Coupling Efficiency in Single-Molecule Junctions by Bamberger, Nathan D, Dyer, Dylan, Parida, Keshaba N, El-Asssad, Tarek H, Pursell, Dawson, McGrath, Dominic V, Smeu, Manuel, Monti, Oliver L. A

    Published 31-01-2022
    “…Structure-function relationships constitute an important tool to investigate the fundamental principles of molecular electronics. Most commonly, this involves…”
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    Journal Article
  8. 8

    Unsupervised Segmentation-Based Machine Learning as an Advanced Analysis Tool for Single Molecule Break Junction Data by Bamberger, Nathan D, Ivie, Jeffrey A, Parida, Keshaba N, McGrath, Dominic V, Monti, Oliver L. A

    Published 03-07-2020
    “…Improved understanding of charge-transport in single molecules is essential for harnessing the potential of molecules e.g. as circuit components at the…”
    Get full text
    Journal Article
  9. 9

    Correlated Energy-Level Alignment Effects Determine Substituent-Tuned Single-Molecule Conductance by Ivie, Jeffrey A, Bamberger, Nathan D, Parida, Keshaba N, Shepard, Stuart, Dyer, Dylan, Saraiva-Souza, Aldilene, Himmelhuber, Roland, McGrath, Dominic V, Smeu, Manuel, Monti, Oliver L. A

    Published 16-10-2020
    “…The rational design of single molecule electrical components requires a deep and predictive understanding of structure-function relationships. Here we explore…”
    Get full text
    Journal Article