156 research outputs found
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LDRD final report on "fundamentals of synthetic conversion of CO2 to simple hydrocarbon fuels" (LDRD 113486).
Energy production is inextricably linked to national security and poses the danger of altering the environment in potentially catastrophic ways. There is no greater problem than sustainable energy production. Our purpose was to attack this problem by examining processes, technology, and science needed for recycling CO{sub 2} back into transportation fuels. This approach can be thought of as 'bio-inspired' as nature employs the same basic inputs, CO{sub 2}/energy/water, to produce biomass. We addressed two key deficiencies apparent in current efforts. First, a detailed process analysis comparing the potential for chemical and conventional engineering methods to provide a route for the conversion of CO{sub 2} and water to fuel has been completed. No apparent 'showstoppers' are apparent in the synthetic route. Opportunities to improve current processes have also been identified and examined. Second, we have also specifically addressed the fundamental science of the direct production of methanol from CO{sub 2} using H{sub 2} as a reductant
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Results of external review Sandia National Laboratories microelectronics and photonics program (October 2002).
The US Department of Energy requires a periodic 'self assessment' of Sandia's Microsystems Program. An external panel review of this program is held approximately every 18 months, and the report from the external review panel serves as the basis for the DOE 'self assessment.' The review for this fiscal year was held on September 30-October 1, 2002 at Sandia National Laboratories, Albuquerque, NM. The panel was comprised of experts in the fields of microelectronics, photonics and microsystems from universities, industry and other Government agencies. A complete list of the panel members is shown as Appendix A to the attached report. The review assesses four areas: relevance to national needs and agency mission; quality of science technology and engineering; performance in the operation of a major facility; and program performance management and planning. Relevance to national needs and agency mission was rated as 'outstanding.' The quality of science, technology, and engineering was rated as 'outstanding.' Operation of a major facility was noted as 'outstanding,' while the category of program performance, management, and planning was rated as 'outstanding.' Sandia's Microsystems Program received an overall rating of 'outstanding' [the highest possible rating]. The attached report was prepared by the panel in a format requested by Sandia to conform with the performance criteria for the DOE self assessment
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Analysis of multichannel internet communication.
A novel method employing machine-based learning to identify messages related to other messages is described and evaluated. This technique may enable an analyst to identify and correlate a small number of related messages from a large sample of individual messages. The classic machine learning techniques of decision trees and naive Bayes classification are seeded with few (or no) messages of interest and 'learn' to identify other related messages. The performance of this approach and these specific learning techniques are evaluated and generalized
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A resolution analysis of two geophysical imaging methods for characterizing and monitoring hydrologic conditions in the Vadose zone.
This research project analyzed the resolution of two geophysical imaging techniques, electrical resistivity tomography (ERT) and cross-borehole ground penetrating radar (XBGPR), for monitoring subsurface flow and transport processes within the vadose zone. The study was based on petrophysical conversion of moisture contents and solute distributions obtained from unsaturated flow forward modeling. This modeling incorporated boundary conditions from a potable water and a salt tracer infiltration experiment performed at the Sandia-Tech Vadose Zone (STVZ) facility, and high-resolution spatial grids (6.25-cm spacing over a 1700-m domain) and incorporated hydraulic properties measured on samples collected from the STVZ. The analysis process involved petrophysical conversion of moisture content and solute concentration fields to geophysical property fields, forward geophysical modeling using the geophysical property fields to obtain synthetic geophysical data, and finally, inversion of this synthetic data. These geophysical property models were then compared to those derived from the conversion of the hydrologic forward modeling to provide an understanding of the resolution and limitations of the geophysical techniques
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