Starting at Sandia National Laboratories in August 2001, he is currently a principal member of the technical staff in Sandia’s Geochemistry organization. His primary role is project manager and overall technical lead on the Crude Oil Characterization Research Study, a 3-year, $10-million project investigating how crude oil properties affect potential combustion hazards during transportation and handling. In that role, he has extensive contact with a broad set of internal Sandia personnel and support organizations, as well as extensive external contact with federal sponsoring agencies in the United States and Canada and industry representatives in midstream oil and gas and associated service companies.
Prior to taking project manager responsibility on the crude oil research work in 2016, he served as a technical lead on the Sandia contract for geotechnical support of the U.S. Strategic Petroleum Reserve (SPR) in 2004 and focused on understanding and improving methods for sampling, measuring, and modeling crude oil properties and phase behavior in storage and handling applications. He led the technical scope development and aligned customer needs with Sandia capabilities for the $3-million annual project from 2010-2016. He was also principal investigator on numerous analyses and technical reports within the SPR scope during that period.
His first assignment at Sandia from 2001-2004 was as a principal investigator for developing and qualifying a wellbore stability model, which was a component of a larger performance assessment model of the Waste Isolation Pilot Plant (WIPP).
He is a research scientist from Idaho National Laboratory (INL) with extensive experience in the fields of materials electrochemistry as applied to reactive and refractory metals, process metallurgy, synthesis and characterization of high-temperature metals and materials, energy-efficient manufacturing processes, and materials recycling. While working at Bhabha Atomic Research Center, India, he developed an entirely new (molten salt based) process flow-sheet for the production of vanadium metal with a view to fabricate a self-powered beta detector. He also worked on the development of a new high-temperature process for the production of commercial-grade zirconia and silica powders from the indigenously available zircon mineral. His other projects have been aimed at recovering valuable materials from waste, secondary resources, and lean ore bodies. His team could successfully develop a technology for the conversion of Zr-2.5Nb alloy scrap to high purity zirconium crystal bar by van Arkel de Boer process. This technology can be adopted to successfully transform the alloy scrap into high purity zirconium crystal bar, a metal of significant importance to the nuclear energy program. At the University of Cambridge, he worked on the process optimization studies pertaining to the preparation of titanium metal and its alloys by a novel molten salt electrochemical process. He developed a preparative process for titanium-lanthanum alloy from their mixed oxides. At the Massachusetts Institute of Technology, he worked on a high-temperature electrochemical process to generate oxygen from the lunar regolith. This is one of the two technologies shortlisted by NASA for its eventual deployment to produce breathable oxygen from in situ (lunar) resources. At INL, the scientific underpinning of his research activities has been to study the behavior of metals and materials under a given set of conditions. His diverse research pursuits include materials electrochemistry, energy-efficient manufacturing processes, and materials recycling.
He is a nuclear scientist in the Advanced Reactor Technologies program and leads the TRISO Fuel Performance Modeling effort. In this capacity, he works on the Advanced Gas Reactor experiments that are irradiated at the Advanced Test Reactor. He writes irradiation experiment test plans and as-run reports for these experiments. He holds a doctorate in nuclear physics from University of Paris-Sud (Orsay, France) and two master’s degrees in nuclear engineering (INSTN, Saclay, France) and nuclear instrumentation (ENSICAEN, Caen, France). He previously worked as a postdoctoral researcher in neutrino astronomy at the Pennsylvania State University and more recently as a neutronics engineer at AREVA NP (Paris, France) involved in the development, maintenance, and validation of AREVA's neutronics chains. He has professional skills in neutronics, thermal hydraulics, nuclear instrumentation, nuclear physics, and nuclear fuel modeling and simulation.
He is a research scientist specializing in crosscutting applications and advancement of sensor research to enable resilient real-time measurement and control of process variables within the nuclear and other critical industries. His research expertise includes applications of pattern recognition and machine learning techniques, instrumentation and controls, data analytics, battery modeling, risk and reliability, digital signal processing, acoustic telemetry, diagnosis/prognosis using wavelets and empirical mode decomposition, time series analysis, power management, wireless communication protocols, and wireless sensor networks. He has authored 51 peer-reviewed publications and one book chapter, and two U.S. patent applications filed. To date, he was involved in 13 research projects and has been the principal investigator for eight. He serves as a reviewer for the Institute of Electrical and Electronics Engineers (IEEE) Transactions on Image Processing, Energy Conversion, Industrial Informatics, Industrial Applications, Power Delivery, Systems, Machine and Cybernetics, Instrumentation and Measurement, and the American Nuclear Society (ANS) Transactions on Nuclear Technology. He serves as an external reviewer for U.S. Department of Energy’s Office of Science and Office of Nuclear Energy. Since 2009, he has been section editor for the Journal of Pattern Recognition Research. Since 2015, he has served as an elected member of the ANS Human Factors, Instrumentation, and Controls Division and the American Society of Mechanical Engineers Nondestructive Prognostics and Diagnostic Division since 2016.
Dr. Emma White’s research is focused on powder metallurgy for energy applications, including high temperature and extreme environment coatings, Li-ion battery anode materials, high energy density permanent magnets and unique metal alloy powders for additive manufacturing. She primarily uses high pressure gas atomization to produce custom metal alloy powders for these energy relevant technologies. Dr. White is an Associate Scientist at the Ames Laboratory and was previously a Postdoctoral Associate under Dr. Iver Anderson. She was a NSF GK-12 Symbi Fellow, and received her PhD and B.S. in Materials Science and Engineering from Iowa State University.
After completion of a doctorate in nuclear engineering from North Carolina State University, he joined Los Alamos National Laboratory (LANL) and worked in radiation transport, fluid flow, and numerical methods. He was one of the original developers of the Truchas computer code, developed as part of the NNSA/ASC program for metal casting simulation and currently being applied to additive manufacturing. In 1997, he left LANL to join Blue Sky Studios, a computer animation company outside New York City, earning credits on the Academy Award-nominated feature film “Ice Age” and the Oscar-winning short animated film “Bunny.” In 2001, he returned to LANL and became group leader of the Computational Physics Group (CCS-2), a group of over 70 doctorate scientists, students, and other staff conducting research in modeling and simulation of physical phenomena for applications ranging from ocean and climate to nuclear weapons and nuclear energy systems. He led an internally-funded research and development effort to investigate hybrid computing architectures, such as video cards (GPUs) as high-performance co-processors, and subsequently led the Advanced Algorithms & Applications team for the Roadrunner supercomputer. Roadrunner augmented standard processors with enhanced versions of the processor used in PlayStation 3 game consoles and was the first system to achieve a sustained performance exceeding 1 Petaflop /s (1015 operations per second). In 2008. John moved to ORNL to form CEES, a new group focused on developing and applying advanced simulation tools to applications, such as nuclear energy and electrical energy storage. He is serving as the ORNL lead for the recently announced High Performance Computing for Manufacturing (HPC4Mfg) program. Launched by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy’s Advanced Manufacturing Office, HPC4Mfg is applying HPC expertise and technology to industry challenges in manufacturing in order to optimize processes and reduce energy consumption.
His research focuses on experimental and analytical studies to improve the energy performance of building envelopes, equipment, and systems. Some of his recent work at Oak Ridge National Laboratory includes energy efficiency enhancement of Army huts, thermal performance evaluation of various radiant barrier systems, lifetime energy and environmental impact of building insulation materials, identify and evaluate performance of lower-global warming potential alternative refrigerants for various applications and operating conditions, study suitability of procedures for evaluating performance of appliances and heating, ventilation, and air conditioning systems, and performance evaluation of thermochromic and electrochromic paints for buildings applications. He is also developing web-based energy-savings calculation to estimate energy and cost savings potential from improving building envelope airtightness. He earned a master’s and doctorate in mechanical engineering from Iowa State University. He is an American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) certified Building Energy Modeling Professional (BEMP) and member of ASHRAE, American Society of Mechanical Engineers (ASME), and Tau Beta Pi.
Dr. Liang Min is the Group Leader of Energy Delivery and Utilization in the Engineering Directorate, as well as Associate Program Leader of Energy Infrastructure Resilience in the Global Security Directorate, at Lawrence Livermore National Laboratory’s (LLNL). In these roles, Dr. Min is responsible for developing and executing a portfolio of work focused on the simulation and analysis of national critical infrastructure with a particular focus on energy infrastructure. His research interests are on developing computation methods for the solution of power system operations and applying probabilistic methods to system planning.
As part of GMLC, Dr. Min is the project lead on Multi-Scale Integration of Control Systems (EMS/DMS/BMS), which aims to develop and demonstrate an integrated grid management framework for the grid's interconnected components, from central and distributed energy resources to local control systems for energy networks. In partnership with Pacific Northwest National Laboratory, he co-leads the Development of Integrated Transmission, Distribution, and Communication Models project that is developing a flexible and scalable open-source co-simulation framework to better understand transmission, distribution, and communication interdepencies. Dr. Min also supports other GMLC projects, including Extreme Event Modeling and System Operations, Power Flow, and Control, and was previously a project team member for the DER Siting and Optimization Tool for California regional pioneer partnership.
Before joining LLNL, Dr. Min worked at the Electric Power Research Institute as a Senior Project Manager with the renewable integration, grid operations, and planning program. Dr. Min earned his Ph.D. in Electrical Engineering Texas A&M University, and his Master’s and Bachelor’s degrees from Tianjin University.
She has more than 30 years of experience in theoretical and computational chemistry. She develops new methods and algorithms for high performance computational chemistry as well as applying those techniques to both basic and applied research. Her current application interests are rare earth and heavy element chemistry, separations, catalysis, aerosol formation, cellulose degradation, and photochemistry. Much of her research interests involve large, collaborative efforts between scientists in multiple fields working together to solve difficult scientific challenges. She is a distinguished professor in the Chemistry Department of Iowa State University. Prior to joining Ames Laboratory, she worked at Pacific Northwest National Laboratory as the lead for the NWChem development group and the Visualization and User Services Group. She also worked at the Wright Patterson Air Force Base in technology transfer and training. She received her bachelor’s in chemistry, mathematics, and computer science from Minot State University and her doctorate in physical chemistry from Iowa State University.
His research focuses on ferroic functional materials and their applications in clean energy and energy efficiency applications. Current research directions include caloric materials, such as elastocaloric materials for heating, ventilation, and air conditioning, refrigeration; application and magnetocaloric materials for gas liquefaction; advanced soft magnetic materials, such as high silicon electrical steel for inductors, transformers, and motors; permanent magnetic materials, such as Mn-based, rare-earth-free permanent magnetic materials and rare-earth permanent magnets with high toughness; high temperature anti-ferroelectric capacitor materials; and ferroelastic shape memory alloys. The overall materials development strategy is theory guided high throughput experimentation, utilizing DFT-based computation to identify alloy composition space and combinatorial bulk synthesis and scanning materials characterization techniques to discover, and down-select candidate compositions. He holds joint positions with Ames Laboratory and the Materials Science and Engineering Department at Iowa State University.
Dr. Wendy Kuhne is a Fellow Scientist at Savannah River National Laboratory. She has a M.S. in Wildlife Science and a Ph.D. in Radiological Health Sciences specializing in Radioecology. She completed post-doctoral studies at the Medical College of Georgia in the Institute of Molecular Medicine and Genetics under a National Research Service Award, by the National Institutes of Health. She has more than 10 years of experience in the areas of radioecology and radiation biology. Her research focuses on the transport and movement of radionuclides through the environment and uptake into human and non-human biota (plants, trees, and wildlife). She has experience in measuring biological responses to exposure to ionizing radiation including DNA damage endpoints, DNA repair processes, and genomic and proteomic level responses. Her work has involved chronic low dose exposures and acute exposure from low-LET gamma rays and high-LET alpha, protons, and secondary neutrons associated with space travel. Dr. Kuhne is a member of the International Union of Radioecology and she is the Past-President of the Environmental and Radon Section of the Health Physics Society.
Craig M. Vineyard, PhD received his B.S., M.S., and PhD. degrees in computer engineering from the University of New Mexico. He pursues computing research in machine learning, neural-inspired/neuromorphic computing, and algorithmic game theory. Helping lead the Neural Exploration & Research Lab (NERL) at Sandia Labs, his research furthers the understanding of how emerging computing approaches may impact application domains spanning from remote sensing to scientific computing. He has been at Sandia National Laboratories for over 10 years and has authored over 25 papers on computational intelligence research.
You can use keywords such as "Advanced Materials" to find experts who focus on this area of interest.
You may search for a specific lab to see all facilities, technologies and experts found there. e.g. "Ames National Laboratory"
You can use search for a specific technology to find all laboratories and experts who have expertise in this field. e.g. "Energy Analysis"
Fill out the information below to ask your energy technology question. Our target response time is 14 business days; however, any individual may not be available to meet this target though we strive to provide a timely response.