Nanoelectronic Modeling at JPL
The NASA/JPL goal to reduce payload in future space missions while increasing mission capability demands miniaturization of measurement, analytical and communication systems.
Engineering topics
Publications and source records attributed to Stoica, A..
The NASA/JPL goal to reduce payload in future space missions while increasing mission capability demands miniaturization of measurement, analytical and communication systems.
The development of NEMO has benefited from the vast research on resonant tunneling diodes that had been done before the project.
Material variations on an atomic scale enable the quantum mechanical functionality of devices such as resonant tunneling diodes (RTDs), quantum well infrared photodetectors (QWIPs), quantum well lasers, and heterostructure field effect transistors (HFETs).
This paper presents a model of a satellite communication system using evolving multi-agent architecture.
This paper focuses on characteristics and applications of evolvable hardware (EHW) to space systems, and describes research directions and ongoing work at JPL.
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Evolvable hardware is a recently proposed technology in which reconfigurable hardware under the control of and evolutionary (genetic) algorithm can automatically self-reconfigure into sonfigurations with the desired behavior.
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The paper proposes the use of the orthogonal arrays for neural network learning. Learning can be seen as a search for the neural weights that give an optimal network performance.