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Institution

Massachusetts Institute of Technology

EducationCambridge, Massachusetts, United States
About: Massachusetts Institute of Technology is a education organization based out in Cambridge, Massachusetts, United States. It is known for research contribution in the topics: Population & Laser. The organization has 116795 authors who have published 268000 publications receiving 18272025 citations. The organization is also known as: MIT & M.I.T..


Papers
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Journal ArticleDOI
11 Aug 1989-Cell
TL;DR: The HLH domain can mediate heterodimer formation between either daughterless, E12, or E47 and achaete-scute T3 or MyoD to form proteins with high affinity for the kappa E2 site in the immunoglobulin kappa chain enhancer.

1,736 citations

Journal ArticleDOI
TL;DR: In this paper, the authors employed a matrix-based method using pseudo-Karhunen-Loeve eigenmodes, producing uncorrelated minimum-variance measurements in 22 k-bands of both the clustering power and its anisotropy due to redshift-space distortions.
Abstract: We measure the large-scale real-space power spectrum P(k) by using a sample of 205,443 galaxies from the Sloan Digital Sky Survey, covering 2417 effective square degrees with mean redshift z ≈ 0.1. We employ a matrix-based method using pseudo-Karhunen-Loeve eigenmodes, producing uncorrelated minimum-variance measurements in 22 k-bands of both the clustering power and its anisotropy due to redshift-space distortions, with narrow and well-behaved window functions in the range 0.02 h Mpc-1 < k < 0.3 h Mpc-1. We pay particular attention to modeling, quantifying, and correcting for potential systematic errors, nonlinear redshift distortions, and the artificial red-tilt caused by luminosity-dependent bias. Our results are robust to omitting angular and radial density fluctuations and are consistent between different parts of the sky. Our final result is a measurement of the real-space matter power spectrum P(k) up to an unknown overall multiplicative bias factor. Our calculations suggest that this bias factor is independent of scale to better than a few percent for k < 0.1 h Mpc-1, thereby making our results useful for precision measurements of cosmological parameters in conjunction with data from other experiments such as the Wilkinson Microwave Anisotropy Probe satellite. The power spectrum is not well-characterized by a single power law but unambiguously shows curvature. As a simple characterization of the data, our measurements are well fitted by a flat scale-invariant adiabatic cosmological model with h Ωm = 0.213 ± 0.023 and σ8 = 0.89 ± 0.02 for L* galaxies, when fixing the baryon fraction Ωb/Ωm = 0.17 and the Hubble parameter h = 0.72; cosmological interpretation is given in a companion paper.

1,734 citations

Journal ArticleDOI
TL;DR: It is reported that the high-temperature annealing of a thermally decomposed ammonium thiomolybdate layer in the presence of sulfur can produce large-area MoS(2) thin layers with superior electrical performance on insulating substrates.
Abstract: The two-dimensional layer of molybdenum disulfide (MoS2) has recently attracted much interest due to its direct-gap property and potential applications in optoelectronics and energy harvesting. However, the synthetic approach to obtain high-quality and large-area MoS2 atomic thin layers is still rare. Here we report that the high-temperature annealing of a thermally decomposed ammonium thiomolybdate layer in the presence of sulfur can produce large-area MoS2 thin layers with superior electrical performance on insulating substrates. Spectroscopic and microscopic results reveal that the synthesized MoS2 sheets are highly crystalline. The electron mobility of the bottom-gate transistor devices made of the synthesized MoS2 layer is comparable with those of the micromechanically exfoliated thin sheets from MoS2 crystals. This synthetic approach is simple, scalable, and applicable to other transition metal dichalcogenides. Meanwhile, the obtained MoS2 films are transferable to arbitrary substrates, providing gr...

1,734 citations

Journal ArticleDOI
TL;DR: In this article, a method of coupling of modes in time was proposed to simplify both the analysis and filter synthesis aspects of these devices, and the response of filters comprised of an arbitrarily large dumber of resonators may be written down by inspection, as a continued fraction.
Abstract: Microring resonators side coupled to signal waveguides provide compact, narrow band, and large free spectral range optical channel dropping filters. Higher order filters with improved passband characteristics and larger out-of-band signal rejection are realized through the coupling of multiple rings. The analysis of these devices is approached by the novel method of coupling of modes in time. The response of filters comprised of an arbitrarily large dumber of resonators may be written down by inspection, as a continued fraction. This approach simplifies both the analysis and filter synthesis aspects of these devices.

1,733 citations

Journal ArticleDOI
TL;DR: A way to detect a kind of topological order using only the ground state wave function which directly measures the total quantum dimension D= Sum(id2i).
Abstract: A large class of topological orders can be understood and classified using the string-net condensation picture. These topological orders can be characterized by a set of data $(N,{d}_{i},{F}_{lmn}^{ijk},{\ensuremath{\delta}}_{ijk})$. We describe a way to detect this kind of topological order using only the ground state wave function. The method involves computing a quantity called the ``topological entropy'' which directly measures the total quantum dimension $D=\ensuremath{\sum}_{i}{d}_{i}^{2}$.

1,733 citations


Authors

Showing all 117442 results

NameH-indexPapersCitations
Eric S. Lander301826525976
Robert Langer2812324326306
George M. Whitesides2401739269833
Trevor W. Robbins2311137164437
George Davey Smith2242540248373
Yi Cui2201015199725
Robert J. Lefkowitz214860147995
David J. Hunter2131836207050
Daniel Levy212933194778
Rudolf Jaenisch206606178436
Mark J. Daly204763304452
David Miller2032573204840
David Baltimore203876162955
Rakesh K. Jain2001467177727
Ronald M. Evans199708166722
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023240
20221,124
202110,595
202011,922
201911,207
201810,883