PNNL-13501 - Pacific Northwest National Laboratory

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Introduction Peer Review and Self-Assessment Pacific Northwest National Laboratory assesses the performance of its Laboratory Directed Research and Development (LDRD) program to ensure that the program is compliant with DOE Order 413.2A (i.e., that projects represent innovative and creative science and contribute to the Laboratory’s pursuit of excellence in science and technology). Peer review is a key facet of our self-assessment program. This section of the annual report outlines the Laboratory’s peer review process for LDRD projects, as well as how the program ties into the Laboratory’s overall process for self-assessment. The Director of Strategic Planning and the LDRD Program Office monitor the process of peer review as a part of our self-assessment for each phase of proposal submission, review, selection, and project funding. The technical quality of LDRD research at the Laboratory is measured primarily by • peer review • analysis of technical accomplishments as judged by tangible output metrics for Laboratory-level and division-level LDRD projects. Excellent scientific and technical quality and a high level of productivity are the major goals of the LDRD program and of all the Laboratory’s research programs. Research quality and the potential for research that leads to important scientific developments are best evaluated by peer reviews employing respected subject matter experts and professionals. Project performance with demonstrated measures and outcomes also is reviewed through self-assessment to ensure progress toward strategic goals. Peer Review Pacific Northwest National Laboratory uses peer review to evaluate the quality, relevance, and performance of our scientific research. Peer review is the universally accepted process for determining the direction of and setting standards for scientific, engineering, and technology research and development. Our formal peer review process ensures the technical integrity of our work, enhances our stature within the scientific community, and ensures that our products and services meet our customers’ needs. A quality peer review process is an acknowledged good management practice and a primary element of our selfassessment program. Self-Assessment We assess our LDRD program performance by evaluating the scientific excellence of our projects, the quality of our planning, and our progress and accomplishments. Self-assessment on scientific excellence is based primarily on the results of peer reviews of the Laboratory’s science and technology programs by the Division Review Committees, external peer review panels, technical and business reviews, and compliance reviews. The LDRD Review Process The Laboratory Director and Strategy Council commission technical and business reviews of proposed LDRD projects as part of the annual business planning process. The following steps are involved in this review process. Laboratory-Level Projects All Laboratory-level technical proposals are submitted to Strategic Planning. The proposals are then forwarded to the Technical Council and to the Business Council for review. Peer Review and Self-Assessment xi
• The Technical Council peer reviews individual LDRD project proposals for scientific and technical quality using internal and external reviewers. The five criteria used for rating the technical quality of proposals are - Technical Significance. The project needs to address an important technical problem, advance the state of the art in a capability or technology area, and distinguish the Laboratory from what other institutions are doing. - Technical Approach. Projects must have a technical strategy and plan that are well integrated, well developed, conceptually sound, and that show achievable endpoints. - Technical Innovation. Projects should develop novel technical concepts, approaches, and methods that create intellectual value, challenge existing paradigms, and develop new capabilities. - Technical Staff. Projects need to have investigators with a balanced mix of technical training and experience, and with a proven record of technical accomplishment. - Technical Environment. Projects must aggressively track relevant technical activities to manage the technical direction of the investment. Projects must actively seek external technical expertise to strengthen investments, as appropriate (such as collaborations and new hires). The Technical Council members rate each proposal and provide a funding recommendation to the Laboratory Director and the Strategy Council. • The Laboratory Director and the Strategy Council commission the Business Council to review each technical focus area to ensure that Laboratory thrusts are applicable to DOE missions and needs. The five criteria used for rating technical focus areas are - Enduring Benefit to the Laboratory. Projects should focus on developing our staff resources, analytical tools and equipment, and new technical capabilities. - Market Attractiveness. Projects must be relevant to DOE missions and the likelihood of new programs, if successful outcomes are achieved. - Ability to Compete. Projects should match Laboratory capabilities to mission roles and should identify a clear distinction from the work of others. - Financial. Projects should ensure that the expected results are commensurate with available funding. - Planning and Execution. For continuing projects, the proposals are rated for technical quality and the project managers are rated on performance ability. The Business Council forwards its recommendations as a part of the decision package to the Laboratory Director and Strategy Council. The Laboratory Director and Strategy Council approve the proposal recommendations and allocate funding and other resources to proposed projects according to strategic goals and priorities of the Laboratory. The principal investigators and the Laboratory staff are then notified of these funding decisions. The Technical Council and the Strategy Council are responsible for monitoring and reviewing Laboratory-level LDRD projects throughout the fiscal year to ensure that the projects are making appropriate technical progress. Division-Level Projects Each research division at the Laboratory undertakes a similar review and evaluation process for proposed projects that address the division’s strategic objectives. The Associate Laboratory Director for each division appoints an internal xii FY 2000 Laboratory Directed Research and Development Annual Report
Page 1 and 2: Laboratory Directed Research and De
Page 3 and 4: Laboratory Directed Research and De
Page 5 and 6: Computational Science and Engineeri
Page 7 and 8: Policy and Management Sciences Asse
Page 9 and 10: Introduction Department of Energy O
Page 11: 5. After reviews by the Technical a
Page 15 and 16: methods applicable to combustion, s
Page 17 and 18: Summary Each national laboratory mu
Page 19 and 20: Study Control Number: PN0004/1411 A
Page 21 and 22: Table 1. Positive and negative ions
Page 23 and 24: m/z Arbitrary Units Figure 1. Mass
Page 25 and 26: introduce low-volatility compounds
Page 27 and 28: arrangement, but the charge is reta
Page 29 and 30: two liquid chromatographic gradient
Page 31 and 32: Integrated Microfabricated Devices
Page 33 and 34: Matrix Assisted Laser Desorption/Io
Page 35 and 36: Molecular Beam Synthesis and Charac
Page 37 and 38: temperature distribution of the des
Page 39 and 40: expected to result in significant a
Page 41 and 42: Study Control Number: PN99069/1397
Page 45 and 46: Seuss DT and KA Prather. 1999. “M
Page 47 and 48: Analysis of Receptor-Modulated Ion
Page 49 and 50: laboratory (Lu and Xie 1997; Lu et
Page 51 and 52: Automated DNA Fingerprinting Microa
Page 53 and 54: Comparison of 4 Xanthomonas Isolate
Page 55 and 56: Approach Hematopoietic (bone marrow
Page 59 and 60: Anti-Human lgG Human lgG Protein G
Page 61 and 62: Characterization of Global Gene Reg
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PCR products for immobilization on
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identify novel proteins of importan
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Immunoprecipitaton of tyrosinephosp
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Coupled NMR and Confocal Microscopy
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In the optical microscopy image, th
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Development and Applications of a M
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Figure 3. Hepa-1 cells undergoing a
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cellular processing (such as post-t
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8. Initial demonstration of an off-
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expression systems for several year
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accumulation of protein products, i
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Study Control Number: PN00039/1446
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Fungal Conversion of Agricultural W
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Fungal Conversion of Waste Glucose/
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Summary and Conclusions We demonstr
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are shown in Figure 1(a) and 1(b),
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Anchorage-Independent Growth (% con
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selection of seedlings demonstratin
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NMR-Based Structural Genomics Micha
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Solution-State Structure and Fold-C
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Plant Root Exudates and Microbial G
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98 99 100 6 7 10 3 1 12 11 15 16 17
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Summary and Conclusions • The gre
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Jones-Oliveira JB, JS Oliveira, HE
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• securely moves files to a targe
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Plenary invited lecture, “The Ele
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Figure 1. X3DGEN tetrahedral mesh o
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Figure 5a. OSO volume rendering of
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Development of Models of Cell-Signa
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SOS p 23 EGFR Professor Rodland at
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Oliveira JS, JB Jones-Oliveira, and
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Figure 2. Associating a dataset mar
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to 1) incorporate three-dimensional
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shown in Figure 1. Simulated result
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HostBuilder: A Tool for the Combina
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Invariant Discretization Methods fo
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Graphics, Inc., workstation. The co
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Mixed Hamiltonian Methods for Geoch
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guyanaite, and grimaldiite (see Fig
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in the Environmental Molecular Scie
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Simulation and Modeling of Electroc
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Summary and Conclusions We implemen
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Since the implementation of the gen
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asis of previous performance, perce
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Bioinformatics for High-Throughput
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Summary and Conclusions In previous
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User Cat - Supervisor (client) Anal
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The second goal was to research way
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Figure 1. A visualization technique
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and interactions. The flexibility o
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Figure 4. A filtered version of Fig
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Development of Modeling Tools for J
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Figure 2. Schematic of experimental
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Integrated Modeling and Simulation
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(a) (b) (c) (d) Figure 1. Results o
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Thurman DA. August 2000. Collaborat
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MARC Input initial m esh and result
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(Johnson 1999; Colligan 1999; Gould
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Modeling of High-Velocity Forming f
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Global divergence error 1 10 -14 0
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that users were unlikely to appreci
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Earth System Science
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the lateral extent of the plume so
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Biogeochemical Processes and Microb
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Analyses of populations of viable a
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The first task was to establish fiv
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purged for 2 minutes. The gas sampl
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developing code architecture to min
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Berkowitz, CM. June 2000. “Atmosp
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environmental monitoring, 2) portab
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corresponded to a current density o
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Enhancing Emissions Pre-Processing
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Environmental Fate and Effects of D
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nitrogen and unpredictable eutrophi
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Figure 1. Ordinary kriging of 2 m d
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precipitation of calcite occurred i
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Interrelationships Between Processe
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phenanthrene resistant fraction con
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injection of an immiscible gas phas
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still some key kinetic issues that
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Application of a Crop Model The res
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The Nature, Occurrence, and Origin
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Particle number concentration, 1/cm
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geometry optimized AlOOH and FeOOH
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allowable parameters using thermody
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TCE + 3H + + 3Fe 2+ Fe)=> acetylene
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Use of Shear-Thinning Fluids for In
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concentration of 0.5% AMX was the m
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Roberts AL, LA Totten, WA Arnold, D
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tetra-scale computing, envisioned a
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Energy Technology and Management
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Figure 2. Setup for the second expe
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phase. The algorithms will be teste
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[Pb-212]/[Pb-212] final 100 10 1 0.
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Plasma Particle Dielectric Fiber El
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(species, sub-species, and sex), sp
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Figure 3. Relative risk of bone and
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Development of a Preliminary Physio
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Development of a Virtual Respirator
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Figure 3. Use of the chest cavity a
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Examination of the Use of Diazolumi
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Indoor Air Pathways to Nuclear, Che
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Source Building Release Observed re
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To illustrate the potential impact
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Non-Invasive Biological Monitoring
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Materials Science and Technology
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Figure 1. (a) - (c) Successive magn
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Component Fabrication and Assembly
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Development of a Low-Cost Photoelec
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elaxations, indicating the adequacy
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Promising chemical durability, as m
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Study Control Number : PN98028/1274
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High Power Density Solid Oxide Fuel
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Hybrid Plasma Process for Vacuum De
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Matson DW, PM Martin, WD Bennett, J
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We showed the proof-of-principle ap
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Bandgap Energy (eV) 2.9 2.85 2.8 2.
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Ultrathin Electrolyte Test Results
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Detailed Investigations on Hydrogen
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identified low energy step structur
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Development of Novel Photo-Catalyst
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-2 -1 Energy (eV) 0 1 2 Cu2O SrTiO3
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Here, we perform adsorption and des
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exceed those in the all-metal devic
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Intensity (a.u.) 0 100 200 300 400
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integrated voltage (V) 0.10 0.08 0.
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The first step was to implement thi
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Spontaneous Formation of Cu2O Nano-
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Actinide Chemistry at the Aqueous-M
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Figure 5. Close-up atomic force mic
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to 300°C and 400°C. Unfortunately
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Summary and Conclusions Transmutati
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Advanced Calibration/Registration T
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Figure 1a. Violet filter Figure 1b.
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Autonomous Ultrasonic Probe for Pro
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containing nitrous oxide, an optica
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Chemical Detection Using Cavity Enh
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Figure 3 is a color rendered simula
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appropriate study has been performe
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Exploitation of Conventional Chemic
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Figures 3 and 4 illustrate the impa
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enefits of using a modified spread-
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Single Channel Signal 0.0025 0.0020
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Therefore, in order to extract the
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A next-generation technology is nee
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Wind Dir. Figure 2. Negative ion co
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Volumetric Imaging of Materials by
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amplitude and peak frequency change
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Figure 3. 13 C NMR spectrum of corn
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Approach Two flow loops, one that o
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Modification of Ion Exchange Resins
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Permanganate Treatment for the Deco
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minimized by medium exchange. After
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Figure 1. Thermogravimetric analysi
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Validation and Scale-Up of Monosacc
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Concentration (g/100g solution) Con
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Analysis of High-Volume, Hyper-Dime
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ecent figure of merit values. Shoul
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Probabilistic Methods Development f
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a) Traditional PCA-based process co
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Acronyms and Abbreviations 2-D two-
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PNNL-13501 - Pacific Northwest National Laboratory

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