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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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Towards analog quantum simulation of strongly correlated electron systems with lithographic quantum dots.
Abstract not provided.
MBE-based growth of self-assembled III-V quantum dots.
Abstract not provided.
Hyperfine effects in a single heavy hole GaAs/AlGaAs double quantum dot device.
Abstract not provided.
Accelerating scale-up of quantum processors with split accumulation gate quantum dots.
Abstract not provided.
Hyperfine effects in hole GaAs/AlGaAs structures probed by EDSR measurements in a double quantum dot device.
Abstract not provided.
Si Quantum Dots via Rapid Ge Diffusion during High Temperature Oxidation of Si/SiGe Nanostructures.
Abstract not provided.
Inkjet-Based 3D Printing: From Quantum Dots to Steel Tools
Inkjet-based additive manufacturing (AM) technologies are highly versatile among manufacturing processes due to their ability to shape any material in powder or ink form. The two inkjet-based AM technologies are binder jetting and material jetting, and as each of their names suggest, the former uses inkjet to deposit binder into the actual build material and the latter uses inkjet to deposit the actual build material. With each of these technologies comes unique opportunities in the form of embedding functional components within the build, creating material gradients within parts by selectively layering feedstocks, shaping non-weldable materials, and creating low-cost tooling with conformal cooling channels. Dr. Amy Elliott at Oak Ridge National Laboratory has explored a variety of materials and approaches with inkjet-based manufacturing technologies, focusing on industry-relevant applications such as injection molding tooling and mining drills.
Stable Optical Linewidth using InAs quantum Dots (SOLID)
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Exciton dissociation in quantum dots connected with photochromic molecule bridges
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High-Efficiency Photoemission Due to Ultrafast Spin-Exchange Auger Interactions in Mn-Doped CdSe Quantum Dots
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Theory of spin-orbit mediated hole spin-photon coupling in lateral Ge/SiGe quantum dots.
Abstract not provided.
Understanding Methods to Determine Energy Levels of Quantum Dot Films for Device Integration
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Monolithic integrated quantum dot photonic integrated circuits
A photonic integrated circuit (PIC) includes a semiconductor substrate, one or more passive components, and one or more active components. The one or more passive components are fabricated on the semiconductor substrate, wherein the passive components are fabricated in a III-V type semiconductor layer. The one or more active components are fabricated on top of the one or more passive components, wherein optical signals are communicated between the one or more active components via the one or more passive components.
Monolithic integrated quantum dot photonic integrated circuits
A photonic integrated circuit (PIC) includes a semiconductor substrate, one or more passive components, and one or more active components. The one or more passive components are fabricated on the semiconductor substrate, wherein the passive components are fabricated in a III-V type semiconductor layer. The one or more active components are fabricated on top of the one or more passive components, wherein optical signals are communicated between the one or more active components via the one or more passive components.
III-V/Si Bound in Continuum Lasers with both Quantum Well and Quantum Dot Gain Materials
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Computer Code for Nanostructure Simulation
Due to their small size, nanostructures can have stress and thermal gradients that are larger than any macroscopic analogue. These gradients can lead to specific regions that are susceptible to failure via processes such as plastic deformation by dislocation emission, chemical debonding, and interfacial alloying. A program has been developed that rigorously simulates and predicts optoelectronic properties of nanostructures of virtually any geometrical complexity and material composition. It can be used in simulations of energy level structure, wave functions, density of states of spatially configured phonon-coupled electrons, excitons in quantum dots, quantum rings, quantum ring complexes, and more. The code can be used to calculate stress distributions and thermal transport properties for a variety of nanostructures and interfaces, transport and scattering at nanoscale interfaces and surfaces under various stress states, and alloy compositional gradients. The code allows users to perform modeling of charge transport processes through quantum-dot (QD) arrays as functions of inter-dot distance, array order versus disorder, QD orientation, shape, size, and chemical composition for applications in photovoltaics and physical properties of QD-based biochemical sensors. The code can be used to study the hot exciton formation/relation dynamics in arrays of QDs of different shapes and sizes at different temperatures. It also can be used to understand the relation among the deposition parameters and inherent stresses, strain deformation, heat flow, and failure of nanostructures.