M
Mark S. Hybertsen
Researcher at Center for Functional Nanomaterials
Publications - 265
Citations - 28904
Mark S. Hybertsen is an academic researcher from Center for Functional Nanomaterials. The author has contributed to research in topics: Quasiparticle & Conductance. The author has an hindex of 75, co-authored 260 publications receiving 26170 citations. Previous affiliations of Mark S. Hybertsen include Brookhaven College & St. John's University.
Papers
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Proceedings ArticleDOI
Wavelength stability, performance, and future trends for electroabsorption-modulated sources
L.J.P. Ketelsen,J.A. Grenko,S.K. Sputz,E. D. Isaacs,J.M. Vandenberg,J.E. Johnson,Sung Nee G. Chu,Mark S. Hybertsen,K. Evans-Lutterodt,D.C. Sutryn,M. Geva,R.W. Glew,C. J. Pinzone,L.S. Cheng,W.A. Asous,P. Parayanthal,Roosevelt People,Muhammad A. Alam,R.L. Hartman +18 more
TL;DR: In this paper, the guiding principles used in the design and fabrication of the Lucent Technologies electroabsorption (EA)-modulated device are discussed, which are designed to generate detailed understanding of modulator and laser quantum well design as they are linked through selective area growth (SAG) oxide pad geometry, and ensure the equivalence of SAG and non-SAG crystal quality.
Book ChapterDOI
Simultaneous Measurement of Force and Conductance Across Single Molecule Junctions
TL;DR: A conducting atomic force microscope (AFM) optimized for high displacement and force resolution has been built in this paper to simultaneously measure conductance and force across single Au-molecule-Au junctions in order to obtain complementary information about the electronics and structure in these systems.
Journal Article
Single Molecule Conductance and Contact Chemistry
Latha Venkataraman,Young Ho Park,Adam C. Whalley,Masha Kamenetska,Michael L. Steigerwald,Colin Nuckolls,Mark S. Hybertsen +6 more
Journal ArticleDOI
Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces
Zhu Liang,Matthew R. Carbone,Wei Chen,Fanchen Meng,Eli Stavitski,Deyu Lu,Mark S. Hybertsen,Xiao-Chun Qu +7 more
TL;DR: In this paper , a semi-supervised machine learning method for the discovery of structure-spectrum relationships is developed and demonstrated using the specific example of interpreting X-ray absorption near-edge structure (XANES) spectra.
Proceedings ArticleDOI
Comprehensive simulation of quantum well lasers
TL;DR: In this paper, the authors demonstrate a simulation tool which treats a full two-dimensional cross section of a semiconductor laser diode with multiple quantum wells in the active region, including free carrier transport, bound quantum well populations, capture of carriers into the quantum wells, the gain and spontaneous emission, the transverse optical mode and the photon mode population.