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Institution

University of Wisconsin–Milwaukee

EducationMilwaukee, Wisconsin, United States
About: University of Wisconsin–Milwaukee is a education organization based out in Milwaukee, Wisconsin, United States. It is known for research contribution in the topics: Population & Gravitational wave. The organization has 11839 authors who have published 28034 publications receiving 936438 citations. The organization is also known as: UWM & University of Wisconsin-Milwaukee.


Papers
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Journal ArticleDOI
Seiji Kawamura1, Hiroo Kunimori2, Mizuhiko Hosokawa2, Ryuichi Fujita3, Keiichi Maeda4, Hisa-aki Shinkai5, Takahiro Tanaka6, Yaka Wakabayashi6, Hideki Ishihara7, Kazutaka Nishiyama8, Ken-ichi Ueda9, Kaiki Taro Inoue10, Kazuhiro Yamamoto8, Kunihito Ioka, Feng-Lei Hong11, Yoshiki Tsunesada12, Kenji Numata13, Masaru Shibata6, Hitoshi Kuninaka8, Kazuhiro Hayama1, Chul-Moon Yoo6, Kazuhiro Agatsuma1, Mitsuru Musha9, Shinji Miyoki14, Yasufumi Kojima15, Yumiko Ejiri16, Takamori Akiteru14, Kentaro Somiya4, Dan Chen14, Tadayuki Takahashi8, Shiho Kobayashi17, Mitsuhiro Fukushima1, Takashi Nakamura6, Naoshi Sugiyama18, Yuta Michimura14, Yoshiyuki Obuchi1, Ayaka Shoda14, Kei Kotake1, Shihori Sakata, Takeshi Chiba19, Yoichi Aso14, Shigeo Nagano2, Tomohiro Harada20, Kiwamu Izumi14, Nobuyuki Kanda7, Isao Kawano8, Nobuki Kawashima10, Yasuo Torii1, Motohiro Enoki21, Yoshiaki Himemoto19, Hirotaka Takahashi22, Yudai Suwa6, Hisashi Hirabayashi, Hiroyuki Ito2, Keitaro Takahashi18, Kiyotomo Ichiki18, Kazuhiro Nakazawa14, Morio Toyoshima2, Takashi Hiramatsu6, Hiroyuki Nakano23, Hiroyuki Koizumi8, Ke-Xun Sun24, Toshikazu Ebisuzaki, Kent Yagi6, Takeshi Ikegami11, Koji Arai25, Kouji Nakamura1, Norio Okada1, Takeshi Takashima8, Takehiko Ishikawa8, K. Okada14, Wataru Kokuyama14, Kakeru Takahashi14, Masa-Katsu Fujimoto1, Ryuichi Takahashi26, Ryo Saito14, K. Tsubono14, Osamu Miyakawa14, Ken-ichi Oohara27, Hideyuki Horisawa28, Hideharu Ishizaki1, Shigenori Moriwaki14, Norichika Sago6, Masashi Ohkawa27, Fuminobu Takahashi14, Tatsuaki Hashimoto8, Takashi Sato27, Sachiko Kuroyanagi14, Umpei Miyamoto20, Kazuaki Kuroda14, Toshifumi Futamase29, Fumiko Kawazoe, Hideyuki Tagoshi30, Yoshinori Nakayama31, Masatake Ohashi14, Yoshiharu Eriguchi14, Toshitaka Yamazaki1, Tadashi Takano19, Hiroshi Yamakawa6, Kenta Kiuchi6, Ken-ichi Nakao7, Taiga Noumi14, Kazunori Kohri, Shinichi Nakasuka14, Wataru Hikida30, Hideo Matsuhara8, Isao Naito27, Tomotada Akutsu1, Shijun Yoshida29, Nobuyuki Matsumoto14, Masa-aki Sakagami6, Naoko Ohishi1, Ikkoh Funaki8, Hajime Sotani32, Taizoh Yoshino16, Atsushi Taruya14, Mutsuko Y. Morimoto8, E. Nishida16, Atsushi J. Nishizawa6, Hideki Asada26, Toshiyuki Morisawa6, Shinji Mukohyama14, Shuichi Sato33, Keisuke Taniguchi14, Yousuke Itoh34, Shinji Tsujikawa35, Rieko Suzuki16, Keiko Kokeyama36, Misao Sasaki6, Naoki Seto6, Koji Ishidoshiro14, Ryutaro Takahashi1, Shin-ichiro Sakai8, Hiroyuki Tashiro6, Motoyuki Saijo20, Naoko Kishimoto6, Masaki Ando6, Akitoshi Ueda1, Koh-suke Aoyanagi4, Yoshihide Kozai, Masayoshi Utashima8, Yoshito Niwa14, Jun'ichi Yokoyama14, Nobuyuki Tanaka1, Akito Araya14 

614 citations

Journal ArticleDOI
TL;DR: In this article, a parametrized high-density equation of state (EOS) based on piecewise polytropes with 3 free parameters was introduced to systematize the study of constraints placed by astrophysical observations on the nature of neutron-star matter.
Abstract: We introduce a parametrized high-density equation of state (EOS) in order to systematize the study of constraints placed by astrophysical observations on the nature of neutron-star matter To obtain useful constraints, the number of parameters must be smaller than the number of EOS-related neutron-star properties measured, but large enough to accurately approximate the large set of candidate EOSs We find that a parametrized EOS based on piecewise polytropes with 3 free parameters matches, to about 4% rms error, an extensive set of candidate EOSs at densities below the central density of $14{M}_{\ensuremath{\bigodot}}$ stars Adding observations of more massive stars constrains the higher-density part of the EOS and requires an additional parameter We obtain constraints on the allowed parameter space set by causality and by present and near-future astronomical observations with the least model dependence Stringent constraints on the EOS parameter space are associated with the future measurement of the moment of inertia of PSR J0737-3039A combined with the maximum known neutron-star mass We also present in an appendix a more efficient algorithm than has previously been used for finding points of marginal stability and the maximum angular velocity of stable stars

608 citations

Journal ArticleDOI
TL;DR: The PNS sensor exhibits an ultrahigh sensitivity to NO2 in dry air and the sensitivity is dependent on its thickness, and the dependence of sensitivity on the PNS thickness is dictated by the band gap for thinner sheets and by the effective thickness on gas adsorption for thicker sheets.
Abstract: Two-dimensional (2D) layered materials have attracted significant attention for device applications because of their unique structures and outstanding properties. Here, a field-effect transistor (FET) sensor device is fabricated based on 2D phosphorene nanosheets (PNSs). The PNS sensor exhibits an ultrahigh sensitivity to NO2 in dry air and the sensitivity is dependent on its thickness. A maximum response is observed for 4.8-nm-thick PNS, with a sensitivity up to 190% at 20 parts per billion (p.p.b.) at room temperature. First-principles calculations combined with the statistical thermodynamics modelling predict that the adsorption density is ∼10(15) cm(-2) for the 4.8-nm-thick PNS when exposed to 20 p.p.b. NO2 at 300 K. Our sensitivity modelling further suggests that the dependence of sensitivity on the PNS thickness is dictated by the band gap for thinner sheets ( 10 nm).

591 citations

Journal ArticleDOI
TL;DR: It is shown that in contrast to common belief, spin-triplet pairing is not entirely excluded in superconductivity in materials without spatial inversion symmetry, and paramagnetic limiting is analyzed for both spin-singlet and -triplets pairing.
Abstract: Superconductivity in materials without spatial inversion symmetry is studied We show that in contrast to common belief, spin-triplet pairing is not entirely excluded in such systems Moreover, paramagnetic limiting is analyzed for both spin-singlet and -triplet pairing The lack of inversion symmetry reduces the effect of the paramagnetic limiting for spin-singlet pairing These results are applied to MnSi and ${\mathrm{C}\mathrm{e}\mathrm{P}\mathrm{t}}_{3}\mathrm{S}\mathrm{i}$

586 citations

Journal ArticleDOI
07 Sep 2007-Science
TL;DR: At its maximum from 1906 to 1910, estimated surface climate forcing in early summer from BC in Arctic snow was about 3 watts per square meter, which is eight times the typical preindustrial forcing value.
Abstract: Black carbon (BC) from biomass and fossil fuel combustion alters chemical and physical properties of the atmosphere and snow albedo, yet little is known about its emission or deposition histories. Measurements of BC, vanillic acid, and non–sea-salt sulfur in ice cores indicate that sources and concentrations of BC in Greenland precipitation varied greatly since 1788 as a result of boreal forest fires and industrial activities. Beginning about 1850, industrial emissions resulted in a sevenfold increase in ice-core BC concentrations, with most change occurring in winter. BC concentrations after about 1951 were lower but increasing. At its maximum from 1906 to 1910, estimated surface climate forcing in early summer from BC in Arctic snow was about 3 watts per square meter, which is eight times the typical preindustrial forcing value.

586 citations


Authors

Showing all 11948 results

NameH-indexPapersCitations
Caroline S. Fox155599138951
Mark D. Griffiths124123861335
Benjamin William Allen12480787750
James A. Dumesic11861558935
Richard O'Shaughnessy11446277439
Patrick Brady11044273418
Laura Cadonati10945073356
Stephen Fairhurst10942671657
Benno Willke10950874673
Benjamin J. Owen10835170678
Kenneth H. Nealson10848351100
P. Ajith10737270245
Duncan A. Brown10756768823
I. A. Bilenko10539368801
F. Fidecaro10556974781
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022194
20211,150
20201,189
20191,085
20181,141