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Articles 1 - 5 of 5
Full-Text Articles in Physics
Anomalous Stranski-Krastanov Growth Of (111)-Oriented Quantum Dots With Tunable Wetting Layer Thickness, Christopher F. Schuck, Simon K. Roy, Trent Garrett, Paul J. Simmonds
Anomalous Stranski-Krastanov Growth Of (111)-Oriented Quantum Dots With Tunable Wetting Layer Thickness, Christopher F. Schuck, Simon K. Roy, Trent Garrett, Paul J. Simmonds
Materials Science and Engineering Faculty Publications and Presentations
Driven by tensile strain, GaAs quantum dots (QDs) self-assemble on In0.52Al0.48As(111)A surfaces lattice-matched to InP substrates. In this study, we show that the tensile-strained self-assembly process for these GaAs(111)A QDs unexpectedly deviates from the well-known Stranski-Krastanov (SK) growth mode. Traditionally, QDs formed via the SK growth mode form on top of a flat wetting layer (WL) whose thickness is fixed. The inability to tune WL thickness has inhibited researchers’ attempts to fully control QD-WL interactions in these hybrid 0D-2D quantum systems. In contrast, using microscopy, spectroscopy, and computational modeling, we demonstrate that for GaAs(111)A QDs, we …
An Effective Electric Dipole Model For Voltage-Induced Gating Mechanism Of Lysenin, Eric Krueger, Daniel Fologea
An Effective Electric Dipole Model For Voltage-Induced Gating Mechanism Of Lysenin, Eric Krueger, Daniel Fologea
Physics Faculty Publications and Presentations
Lysenin is a pore-forming toxin, which self-inserts open channels into sphingomyelin containing membranes and is known to be voltage regulated. The mechanistic details of its voltage gating mechanism, however, remains elusive despite much recent efforts. Here, we have employed a novel combination of experimental and computational techniques to examine a model for voltage gating, that is based on the existence of an “effective electric dipole” inspired by recent reported structures of lysenin. We support this mechanism by the observations that (i) the charge-reversal and neutralization substitutions in lysenin result in changing its electrical gating properties by modifying the strength of …
Single-Molecule Imaging Reveals The Interplay Between Transcription Factors, Nucleosomes, And Transcriptional Bursting, Matthew L. Ferguson
Single-Molecule Imaging Reveals The Interplay Between Transcription Factors, Nucleosomes, And Transcriptional Bursting, Matthew L. Ferguson
Physics Faculty Publications and Presentations
Transcription factors show rapid and reversible binding to chromatin in living cells, and transcription occurs in sporadic bursts, but how these phenomena are related is unknown. Using a combination of in vitro and in vivo single-molecule imaging approaches, we directly correlated binding of the Gal4 transcription factor with the transcriptional bursting kinetics of the Gal4 target genes GAL3 and GAL10 in living yeast cells. We find that Gal4 dwell time sets the transcriptional burst size. Gal4 dwell time depends on the affinity of the binding site and is reduced by orders of magnitude by nucleosomes. Using a novel imaging platform …
Variability In The Atmosphere Of The Hot Jupiter Kepler-76b, Brian Jackson, Elisabeth Adams, Wesley Sandidge, Steven Kreyche, Jennifer Briggs
Variability In The Atmosphere Of The Hot Jupiter Kepler-76b, Brian Jackson, Elisabeth Adams, Wesley Sandidge, Steven Kreyche, Jennifer Briggs
Physics Faculty Publications and Presentations
No abstract provided.
Implementation Of The Bin Hierarchy Method For Restoring A Smooth Function From A Sampled Histogram, Olga Goulko, Alexander Gaenko, Emanuel Gull, Nikolay Prokof'ev, Boris Svistunov
Implementation Of The Bin Hierarchy Method For Restoring A Smooth Function From A Sampled Histogram, Olga Goulko, Alexander Gaenko, Emanuel Gull, Nikolay Prokof'ev, Boris Svistunov
Physics Faculty Publications and Presentations
We present BHM, a tool for restoring a smooth function from a sampled histogram using the bin hierarchy method. The theoretical background of the method is presented in [1]. The code automatically generates a smooth polynomial spline with the minimal acceptable number of knots from the input data. It works universally for any sufficiently regular shaped distribution and any level of data quality, requiring almost no external parameter specification. It is particularly useful for large-scale numerical data analysis. This paper explains the details of the implementation and the use of the program.