The results of an experiment to search for lasing in atomic transitions at x-ray energies in N{sub 2} gas target plasmas using ultra-short laser pulses is presented. Particular emphasis was placed on a search for a predicted 24.7 nm optical-field-ionization (OFI) induced lasing line from the Li-like nitrogen (N{sup 4+}, 3d {yields} 2p) transition. The excitation laser was a multi-terawatt Cr:LiSrAlF{sub 6} laser system operating at a wavelength of 825 nm and a pulse duration of 135 fs located at the Lawrence Livermore National Laboratory. Experimental conditions were optimized and a series of Li-like (including the 24.7 rm N{sup 4+} 3d {yields} 2p) lines were observed and identified. Further experimental studies are required before an attempt at measurement of any potential lasing gain can be made.

The Liquid Phase Methanol (LPMEOEP") Demonstration Project at K.ingsport, Tennessee, is a $213.7 million cooperative agreement between the U.S. Department of Energy (DOE) and Air Products Liquid Phase Conversion Company, L, P. (the Partnership). The LPMEOHY Process Demonstration Unit is being built at a site located at the Eastman Chemical Company (Eastman) complex in Kingsport. On 4 October 1994, Air Products and Chemicals, Inc. (Air Products) and signed the agreements that would form the Partnership, secure the demonstration site, and provide the financial commitment and overall project management for the project. These partnership agreements became effective on 15 March 1995, when DOE authorized the commencement of Budget Period No. 2 (Mod. AO08 to the Cooperative Agreement). The Partnership has subcontracted with Air Products to provide the overall management of the project, and to act as the primary interface with DOE. As subcontractor to the Partnership, Air Products will also provide the engineering design, procurement, construction, and commissioning of the LPMEOHTM Process Demonstration Unit, and will provide the technical and engineering supervision needed to conduct the operational testing program required as part of the project. As subcontractor to Air Products, Eastman will be responsible for operation of the LPMEOHTM Process Demonstration …

Chaotic systems are known for their unpredictability due to their sensitive dependence on initial conditions. When only time series measurements from such systems are available, neural network based models are preferred due to their simplicity, availability, and robustness. However, the type of neural network used should be capable of modeling the highly non-linear behavior and the multi- attractor nature of such systems. In this paper we use a special type of recurrent neural network called the ``Dynamic System Imitator (DSI)``, that has been proven to be capable of modeling very complex dynamic behaviors. The DSI is a fully recurrent neural network that is specially designed to model a wide variety of dynamic systems. The prediction method presented in this paper is based upon predicting one step ahead in the time series, and using that predicted value to iteratively predict the following steps. This method was applied to chaotic time series generated from the logistic, Henon, and the cubic equations, in addition to experimental pressure drop time series measured from a Fluidized Bed Reactor (FBR), which is known to exhibit chaotic behavior. The time behavior and state space attractor of the actual and network synthetic chaotic time series were analyzed and …

The data for each coal sample used in this study are included in a separate appendix. The information for each coal is presented in the following order: coal sample data (literature); coal sample data (measured); thermogravimetric data; mass spectroscopy data; mercury intrusion pore analysis; quantachrome gas sorption analysis (BET) using nitrogen (raw whole coal sample); quantachrome gas sorption analysis (BET) using nitrogen (activated whole coal sample; and plot of FTIR (DRIS) information absorbance vs wavenumbers).

This report was prepared to support development of the Department of Energy Environmental Management cost infrastructure -- a new capability to independently estimate and analyze costs. Currently, the cost data are reported according to a structure that blends level of effort tasks with product and process oriented tasks. Also. the budgetary inputs are developed from prior year funding authorizations and from contractor-developed parametric estimates that have been adjusted to planned funding levels or appropriations. Consequently, it is difficult for headquarters and field-level activities to use actual cost data and technical requirements to independently assess the costs generated and identify trends, potential cost savings from process improvements, and cost reduction strategies.

The primary objective of this research is to conduct advanced reservoir characterization and modeling studies in the Antelope Shale reservoir. Characterization studies will be used to determine the technical feasibility of implementing a CO{sub 2} enhanced oil recovery project in the Buena Vista Hills field. The Buena Vista Hills pilot CO{sub 2} project will demonstrate the economic viability and widespread applicability of CO{sub 2} flooding in fractured siliceous shales reservoirs of the San Joaquin Valley. The research consists of four primary work processes: reservoir matrix and fluid characterization; fracture characterization; reservoir modeling and simulation; and, CO{sub 2} pilot flood and evaluation. Work done in these areas can be subdivided into two phases or budget periods. The first phase of the project will focus on the application of a variety of advanced reservoir characterization techniques to determine the production characteristics of the Antelope Shale reservoir. Reservoir models based on the results of the characterization work will be used to evaluate how the reservoir will respond to secondary recovery and EOR processes. The second phase of the project will include the implementation and evaluation of an advanced EOR pilot in the West Dome of the Buena Vista Hills field. The project has …

Objective is to apply CMZP and Mg-Al{sub 2}TiO{sub 5} as coatings to SiC to improve corrosion resistance under coal combustion atmospheres as well as to improve high temperature mechanical properties. The research will also study the mechanism of coal combustion corrosion of SiC at 1000-1400 C. 16 figs, 8 tabs.

The four major tasks conducted during this quarter include: (1) extensive investigation in pore structures of chars before and after reactions with NO , CO,, and 02, (2) effects of pyrolysis time on char reactivities, (3) estimations of rates of NO reduction and mass transfer limitations, and, (4) char reactivities at low feed NO concentrations. Pore structure analyses include BET-N{sub 2}, BET-CO{sub 2}, and DR-CO{sub 2} surface areas, pore size distribution, micropore volume, total pore volume, and average pore radius. These studies suggest that neither BET-N{sub 2} nor DR-CO{sub 2} surface area is a normalization factor of chars of different origin. Parameter study reveals that the effectiveness of heterogeneous reburning strongly depends on variables in three areas: (1) the origin of char, (2) char devolatilization temperature and time, and, (3) the competitions of NO with C0{sub 2} and 02 for the active sites on the char surface. The studies on pore structure and on parameter screening signify the importance of transient kinetics (TK) and temperature programmed desorption (TPD) in the future research. These two techniques all lead to the direct measurements of both stable and reactive surface oxygen complexes, reactive surface area, and the Langmuir-Hinshelwood model which has both importance …