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  • 1
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    In:  Tectonophys., Luxembourg, Conseil de l'Europe, vol. 380, no. 1-2, pp. 1-25, pp. L19605, (ISSN: 1340-4202)
    Publication Date: 2004
    Keywords: Deep seismic sounding (espec. cont. crust) ; China ; Velocity depth profile ; Meissner
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  • 2
    Publication Date: 2015-06-18
    Description: Until now, up-to-date, comprehensive, spatial, national-scale data on hydraulic fracturing water volumes have been lacking. Water volumes used to hydraulically fracture over 263,859 oil and gas wells drilled between 2000 and 2014 were compiled and used to create the first U.S. map of hydraulic fracturing water use. Further analysis of these data shows that although 15,275 m 3 and 19,425 m 3 of water was used to hydraulically fracture individual horizontal oil and gas wells, respectively, in 2014, about 42 percent of wells were actually either vertical or directional, which required less than 2,600 m 3 water per well. The highest average hydraulic fracturing water usage (10,000 − 36,620 m 3 per well) in watersheds across the United States was correlated with shale gas areas (versus coalbed methane, tight oil, or tight gas) where the greatest proportion of hydraulically fractured wells were horizontally drilled, reflecting that the natural reservoir properties influence water use. This analysis also demonstrates that many oil and gas resources within a given basin are developed using a mix of horizontal, vertical and some directional wells, explaining why large volume hydraulic fracturing water usage is not widespread. This spatial variability in hydraulic fracturing water use relates to the potential for environmental impacts such as water availability, water quality, wastewater disposal, and possible wastewater injection-induced earthquakes. This article is protected by copyright. All rights reserved.
    Print ISSN: 0043-1397
    Electronic ISSN: 1944-7973
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 3
    Publication Date: 2014-02-23
    Description: Article Artificial muscles composed of carbon nanotube yarns have previously demonstrated fast, large-angle rotations. Here, the authors infiltrate carbon nanotube yarns with a paraffin wax and polystyrene-based copolymer mixture, achieving stable 9,800 r.p.m. rotation without apparent oscillation. Nature Communications doi: 10.1038/ncomms4322 Authors: Kyoung-Yong Chun, Shi Hyeong Kim, Min Kyoon Shin, Cheong Hoon Kwon, Jihwang Park, Youn Tae Kim, Geoffrey M. Spinks, Márcio D. Lima, Carter S. Haines, Ray H. Baughman, Seon Jeong Kim
    Electronic ISSN: 2041-1723
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 4
    Publication Date: 2012-11-20
    Description: Artificial muscles are of practical interest, but few types have been commercially exploited. Typical problems include slow response, low strain and force generation, short cycle life, use of electrolytes, and low energy efficiency. We have designed guest-filled, twist-spun carbon nanotube yarns as electrolyte-free muscles that provide fast, high-force, large-stroke torsional and tensile actuation. More than a million torsional and tensile actuation cycles are demonstrated, wherein a muscle spins a rotor at an average 11,500 revolutions/minute or delivers 3% tensile contraction at 1200 cycles/minute. Electrical, chemical, or photonic excitation of hybrid yarns changes guest dimensions and generates torsional rotation and contraction of the yarn host. Demonstrations include torsional motors, contractile muscles, and sensors that capture the energy of the sensing process to mechanically actuate.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lima, Marcio D -- Li, Na -- Jung de Andrade, Monica -- Fang, Shaoli -- Oh, Jiyoung -- Spinks, Geoffrey M -- Kozlov, Mikhail E -- Haines, Carter S -- Suh, Dongseok -- Foroughi, Javad -- Kim, Seon Jeong -- Chen, Yongsheng -- Ware, Taylor -- Shin, Min Kyoon -- Machado, Leonardo D -- Fonseca, Alexandre F -- Madden, John D W -- Voit, Walter E -- Galvao, Douglas S -- Baughman, Ray H -- New York, N.Y. -- Science. 2012 Nov 16;338(6109):928-32. doi: 10.1126/science.1226762.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75083, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23161994" target="_blank"〉PubMed〈/a〉
    Keywords: Absorption ; Electricity ; Hot Temperature ; Hydrogen/chemistry ; *Muscle Contraction ; Muscles/*chemistry/ultrastructure ; *Nanotubes, Carbon ; Optics and Photonics ; Photons ; *Tensile Strength
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2014-02-22
    Description: The high cost of powerful, large-stroke, high-stress artificial muscles has combined with performance limitations such as low cycle life, hysteresis, and low efficiency to restrict applications. We demonstrated that inexpensive high-strength polymer fibers used for fishing line and sewing thread can be easily transformed by twist insertion to provide fast, scalable, nonhysteretic, long-life tensile and torsional muscles. Extreme twisting produces coiled muscles that can contract by 49%, lift loads over 100 times heavier than can human muscle of the same length and weight, and generate 5.3 kilowatts of mechanical work per kilogram of muscle weight, similar to that produced by a jet engine. Woven textiles that change porosity in response to temperature and actuating window shutters that could help conserve energy were also demonstrated. Large-stroke tensile actuation was theoretically and experimentally shown to result from torsional actuation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Haines, Carter S -- Lima, Marcio D -- Li, Na -- Spinks, Geoffrey M -- Foroughi, Javad -- Madden, John D W -- Kim, Shi Hyeong -- Fang, Shaoli -- Jung de Andrade, Monica -- Goktepe, Fatma -- Goktepe, Ozer -- Mirvakili, Seyed M -- Naficy, Sina -- Lepro, Xavier -- Oh, Jiyoung -- Kozlov, Mikhail E -- Kim, Seon Jeong -- Xu, Xiuru -- Swedlove, Benjamin J -- Wallace, Gordon G -- Baughman, Ray H -- New York, N.Y. -- Science. 2014 Feb 21;343(6173):868-72. doi: 10.1126/science.1246906.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75083, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24558156" target="_blank"〉PubMed〈/a〉
    Keywords: *Cotton Fiber ; Humans ; Muscles/chemistry/ultrastructure ; *Nylons ; Polymers ; Porosity ; *Tensile Strength ; *Torsion, Mechanical
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2011-01-08
    Description: Multifunctional applications of textiles have been limited by the inability to spin important materials into yarns. Generically applicable methods are demonstrated for producing weavable yarns comprising up to 95 weight percent of otherwise unspinnable particulate or nanofiber powders that remain highly functional. Scrolled 50-nanometer-thick carbon nanotube sheets confine these powders in the galleries of irregular scroll sacks whose observed complex structures are related to twist-dependent extension of Archimedean spirals, Fermat spirals, or spiral pairs into scrolls. The strength and electronic connectivity of a small weight fraction of scrolled carbon nanotube sheet enables yarn weaving, sewing, knotting, braiding, and charge collection. This technology is used to make yarns of superconductors, lithium-ion battery materials, graphene ribbons, catalytic nanofibers for fuel cells, and titanium dioxide for photocatalysis.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lima, Marcio D -- Fang, Shaoli -- Lepro, Xavier -- Lewis, Chihye -- Ovalle-Robles, Raquel -- Carretero-Gonzalez, Javier -- Castillo-Martinez, Elizabeth -- Kozlov, Mikhail E -- Oh, Jiyoung -- Rawat, Neema -- Haines, Carter S -- Haque, Mohammad H -- Aare, Vaishnavi -- Stoughton, Stephanie -- Zakhidov, Anvar A -- Baughman, Ray H -- New York, N.Y. -- Science. 2011 Jan 7;331(6013):51-5. doi: 10.1126/science.1195912.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75083, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21212350" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2015-07-25
    Description: Superelastic conducting fibers with improved properties and functionalities are needed for diverse applications. Here we report the fabrication of highly stretchable (up to 1320%) sheath-core conducting fibers created by wrapping carbon nanotube sheets oriented in the fiber direction on stretched rubber fiber cores. The resulting structure exhibited distinct short- and long-period sheath buckling that occurred reversibly out of phase in the axial and belt directions, enabling a resistance change of less than 5% for a 1000% stretch. By including other rubber and carbon nanotube sheath layers, we demonstrated strain sensors generating an 860% capacitance change and electrically powered torsional muscles operating reversibly by a coupled tension-to-torsion actuation mechanism. Using theory, we quantitatively explain the complementary effects of an increase in muscle length and a large positive Poisson's ratio on torsional actuation and electronic properties.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liu, Z F -- Fang, S -- Moura, F A -- Ding, J N -- Jiang, N -- Di, J -- Zhang, M -- Lepro, X -- Galvao, D S -- Haines, C S -- Yuan, N Y -- Yin, S G -- Lee, D W -- Wang, R -- Wang, H Y -- Lv, W -- Dong, C -- Zhang, R C -- Chen, M J -- Yin, Q -- Chong, Y T -- Zhang, R -- Wang, X -- Lima, M D -- Ovalle-Robles, R -- Qian, D -- Lu, H -- Baughman, R H -- New York, N.Y. -- Science. 2015 Jul 24;349(6246):400-4. doi: 10.1126/science.aaa7952.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75080, USA. Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou University, Changzhou 213164, China. Jiangnan Graphene Research Institute, Changzhou 213149, China. ; Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75080, USA. Jiangnan Graphene Research Institute, Changzhou 213149, China. ; Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75080, USA. Applied Physics Department, State University of Campinas, Campinas, SP 13081-970, Brazil. ; Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou University, Changzhou 213164, China. Micro/Nano Science and Technology Center, Jiangsu University, Zhenjiang 212013, China. ; Alan G. MacDiarmid NanoTech Institute, University of Texas at Dallas, Richardson, TX 75080, USA. ; High-Performance Materials Institute, Florida State University, Tallahassee, FL 32310, USA. ; Applied Physics Department, State University of Campinas, Campinas, SP 13081-970, Brazil. ; Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou University, Changzhou 213164, China. Jiangnan Graphene Research Institute, Changzhou 213149, China. ; Jiangnan Graphene Research Institute, Changzhou 213149, China. Institute of Materials Physics, Tianjin University of Technology, Tianjin 300384, China. ; Jiangnan Graphene Research Institute, Changzhou 213149, China. ; School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China. Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA. ; Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA. ; Lintec of America, Nano-Science and Technology Center, Richardson, TX 75081, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26206929" target="_blank"〉PubMed〈/a〉
    Keywords: *Elastic Tissue ; Elasticity ; Electric Capacitance ; *Electronics ; *Muscle, Skeletal ; *Nanotubes, Carbon ; Torsion, Mechanical
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2013-03-01
    Description: ABSTRACT In studies on heavy oil, shale reservoirs, tight gas and enhanced geothermal systems, the use of surface passive seismic data to monitor induced microseismicity due to the fluid flow in the subsurface is becoming more common. However, in most studies passive seismic records contain days and months of data and manually analysing the data can be expensive and inaccurate. Moreover, in the presence of noise, detecting the arrival of weak microseismic events becomes challenging. Hence, the use of an automated, accurate and computationally fast technique for event detection in passive seismic data is essential. The conventional automatic event identification algorithm computes a running-window energy ratio of the short-term average to the long-term average of the passive seismic data for each trace. We show that for the common case of a low signal-to-noise ratio in surface passive records, the conventional method is not sufficiently effective at event identification. Here, we extend the conventional algorithm by introducing a technique that is based on the cross-correlation of the energy ratios computed by the conventional method. With our technique we can measure the similarities amongst the computed energy ratios at different traces. Our approach is successful at improving the detectability of events with a low signal-to-noise ratio that are not detectable with the conventional algorithm. Also, our algorithm has the advantage to identify if an event is common to all stations (a regional event) or to a limited number of stations (a local event). We provide examples of applying our technique to synthetic data and a field surface passive data set recorded at a geothermal site.
    Print ISSN: 0016-8025
    Electronic ISSN: 1365-2478
    Topics: Geosciences , Physics
    Published by Wiley
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  • 9
  • 10
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 109 (1998), S. 9244-9251 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: The phenol⋅N2 complex cation has been studied with a combination of two-color resonant zero kinetic energy (ZEKE) and mass analyzed threshold ionization (MATI) spectroscopies to probe the interaction of a polar cation with a quadrupolar solvent molecule. Extended vibrational progressions are observed in three modes which are assigned as the in-plane bend (35 cm−1), the stretch (117 cm−1), and in-plane wag (130 cm−1) intermolecular vibrations, and are consistent with a structure where the N2 forms a directional bond to the phenol OH group in the plane of the aromatic ring. Ab initio calculations at the UMP2/6-31G*, UHF/cc-pVDZ, and UMP2/cc-pVDZ levels of theory support this assignment. The spectra also provide a value for the adiabatic ionization energy (67 423 cm−1±4.5 cm−1) and an estimate of the dissociation energy of the cluster (1650±20 cm−1) which illustrate that the quadrupolar nitrogen molecule binds considerably more strongly to the phenol cation than a rare gas atom. These results constitute the first report of an aromatic⋅N2 complex where the interaction can be described in terms of weak hydrogen bonding, rather than in terms of a van der Waals bond to the π-system of the benzene ring. © 1998 American Institute of Physics.
    Type of Medium: Electronic Resource
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