NSF PAR Search | NSF Public Access Repository

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Structure-terahertz property relationship and femtosecond laser irradiation effects in chalcogenide glasses

https://doi.org/10.1016/j.jnoncrysol.2022.122020

Tostanoski, Nicholas J.; Heilweil, Edwin J.; Wachtel, Peter F.; Musgraves, J. David; Sundaram, S. K. (January 2023, Journal of Non-Crystalline Solids)

Full Text Available
Chimera: exploiting UAS flight path information to optimize heterogeneous data transmission

Shirey, R; Rao, S; Sundaram, S (November 2021, IEEE ICNP)
null (Ed.)
Full Text Available
MOVPE grown periodic AlN/BAlN heterostructure with high boron content

https://doi.org/10.1016/j.jcrysgro.2014.09.030

Li, X.; Sundaram, S.; El Gmili, Y.; Genty, F.; Bouchoule, S.; Patriache, G.; Disseix, P.; Réveret, F.; Leymarie, J.; Salvestrini, J.-P.; et al (March 2015, Journal of Crystal Growth)

Full Text Available
Expansion of the Gene Ontology knowledgebase and resources

https://doi.org/10.1093/nar/gkw1108

Carbon, S.; Dietze, H.; Lewis, S.E.; Mungall, C.J.; Munoz-Torres, M.C.; Basu, S.; Chisholm, R.L.; Dodson, R.J.; Fey, P.; Thomas, P.D.; et al (January 2017, Nucleic Acids Research)

The Gene Ontology (GO) is a comprehensive resource of computable knowledge regarding the functions of genes and gene products. As such, it is extensively used by the biomedical research community for the analysis of -omics and related data. Our continued focus is on improving the quality and utility of the GO resources, and we welcome and encourage input from researchers in all areas of biology. In this update, we summarize the current contents of the GO knowledgebase, and present several new features and improvements that have been made to the ontology, the annotations and the tools. Among the highlights are 1) developments that facilitate access to, and application of, the GO knowledgebase, and 2) extensions to the resource as well as increasing support for descriptions of causal models of biological systems and network biology. To learn more, visit http://geneontology.org/.
more » « less
Full Text Available

Search for: All records