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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 325 records · Page 18

A Method to Identify Seawater Pycnocline Boundaries Based on LSTM Neural Network and Its Application in Underwater Glider Missions

Underwater glider is a kind of buoyancy driven underwater vehicle; it has the features of low operating noise, long endurance and flexible maneuverability. During the glider long-time navigation, there is a high probability to encounter the pycnocline, which has a great influence on underwater glider’s navigation as well as application. In this work, an operation flow of glider hovering movement in the pycnocline was discussed in detail in order to improve the observation performance of glider. We firstly developed an LSTM (Long Short-Term Memory) neural network to identify the pycnocline boundaries. Then the accurate buoyancy adjustment of glider hovering movement was calculated based on the obtained pycnocline information. Finally a hardware in the loop simulation was implemented to verify the feasibility of the method, and the simulation results showed a reasonable performance of glider hovering in the pycnocline.

Song, Dalei↗

Genome Sequence of Halomonas sp. Strain KO116, an Ionic Liquid- Tolerant Marine Bacterium Isolated from a Lignin-Enriched Seawater Microcosm

Halomonas sp. strain KO116 was isolated from Nile Delta Mediterranean Sea surface water enriched with insoluble organosolv lignin. It was further screened for growth on alkali lignin minimal salts medium agar. The strain tolerates the ionic liquid 1-ethyl-3-methylimidazolium acetate. Its complete genome sequence is presented in this report.

59 BASIC BIOLOGICAL SCIENCES↗

Potential New Ligand Systems for Binding Uranyl Ions in Seawater Environments

Work began this quarter on a new project involving a combined computational and biosynthetic approach to selective recognition of uranyl ion in aqueous solution. This project exploits the results of computational studies to discover new ligand classes. Synthetic studies will follow to generate target systems for uranyl binding and determination of binding constants. The process will be iterative, with results from computation informing synthesis, and vice versa. The theme of the ligand classes to be examined initially will be biologically based. New phosphonate-containing α-amino acid N-carboxyanhydride (NCA) monomers were used recently to prepare well-defined phosphonate-containing poly-peptides and block copolypeptides. Our first approach is to utilize these phosphate- and phosphonate-containing NCAs for the coordination of uranyl. The work includes the laboratory-scale preparation of a series of NCAs and the full thermodynamic and spectroscopic characterization of the resulting uranyl complexes. We are also evaluating the sequestering activity in different physiological and environmental conditions of these copolymers as well as their biodegradability.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗