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Solubility of Anthracene in Ternary 2-Butoxyethanol + Propanol + Butanol Solvent Mixtures
Article on the solubility of anthracene in ternary 2-butoxyethanol + propanol + butanol solvent mixtures.
Date:
March 13, 1999
Creator:
Deng, Taihe & Acree, William E. (William Eugene)
System:
The UNT Digital Library
GRB 060505: A Possible Short-Duration Gamma-Ray Burst in a Star-Forming Region at a Redshift of 0.09
This article reports the discovery of the GRB optical afterglow and observations of its environment using Gemini South, the Hubble Space Telescope, Chandra, Swift, and the Very Large Array.
Date:
March 13, 2007
Creator:
Ofek, Efran; Cenko, Brad; Gal-Yam, Avishay; Fox, Derek B.; Nakar, Ehud; Rau, Arne et al.
System:
The UNT Digital Library
Interpolative multidimensional scaling techniques for the identification of clusters in very large sequence sets
This article discusses interpolative multidimensional scaling techniques for the identification of clusters in very large sequence sets.
Date:
March 13, 2012
Creator:
Hughes, Adam; Ruan, Yang; Ekanayake, Saliya; Bae, Seung-Hee; Dong, Qunfeng; Rho, Mina et al.
System:
The UNT Digital Library
Harvard, Again: Considering Articulation and Accreditation in Rhetoric and Composition's History
This article discusses considerations in articulation and accreditation in rhetoric and composition's history.
Date:
March 13, 2014
Creator:
Skinnell, Ryan
System:
The UNT Digital Library
Geospatial and Contextual Approaches to Energy Balance and Health
This article examines associations between geographic and contextual features of the environment and elements of human energy balance, with a particular focus on research and opportunities in the United States.
Date:
March 13, 2015
Creator:
Berrigan, David; Hipp, J. Aaron; Hurvitz, Philip M.; James, Peter; Jankowska, Marta M.; Kerr, Jacqueline et al.
System:
The UNT Digital Library
Representing Global Reactive Potential Energy Surfaces Using Gaussian Processes
This article presents a detailed study on constructing potential energy surfaces using a machine learning method, namely, Gaussian process regression.
Date:
February 6, 2017
Creator:
Kolb, Brian; Marshall, Paul; Zhao, Bin; Jiang, Bin & Guo, Hua
System:
The UNT Digital Library