Nuclear and Particle Futures Pillar

Fulton, Robert Douglas

doi:10.2172/1143954

Title: Nuclear and Particle Futures Pillar

Full Record
Other Related Research

Authors:

Fulton, Robert Douglas ^[1]

Los Alamos National Laboratory

Publication Date:: Wed Jul 16 00:00:00 EDT 2014

Research Org.:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: DOE/LANL

OSTI Identifier:: 1143954

Report Number(s):: LA-UR-14-25403

DOE Contract Number:: AC52-06NA25396

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: Astronomy & Astrophysics(79); Instrumentation Related to Nuclear Science & Technology(46); Nuclear Physics & Radiation Physics(73); Particle Accelerators(43); Plasma Physics & Fusion Technology(70)

Citation Formats


                    Fulton, Robert Douglas. Nuclear and Particle Futures Pillar.  United States: N. p., 2014. 
        Web.  doi:10.2172/1143954.

Copy to clipboard


                    Fulton, Robert Douglas. Nuclear and Particle Futures Pillar.  United States.  https://doi.org/10.2172/1143954

Copy to clipboard


                    Fulton, Robert Douglas. 2014.  
        "Nuclear and Particle Futures Pillar".  United States.  https://doi.org/10.2172/1143954.  https://www.osti.gov/servlets/purl/1143954.

Copy to clipboard


                    
@article{osti_1143954,

  title        = {Nuclear and Particle Futures Pillar},

  author       = {Fulton, Robert Douglas},

  abstractNote = {},

  doi          = {10.2172/1143954},

  url          = {https://www.osti.gov/biblio/1143954},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Jul 16 00:00:00 EDT 2014},

  month        = {Wed Jul 16 00:00:00 EDT 2014}

}

Copy to clipboard

Technical Report:

View Technical Report (1.91 MB)

https://doi.org/10.2172/1143954

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

Materials for the Future Pillar

Conference Hockaday, Mary
Full Text Available
Laboratory Science Pillars & Strategic Context

Technical Report Sarrao, John
https://doi.org/10.2172/1136961

Full Text Available
The Los Alamos Science Pillars The Science of Signatures

Technical Report Smith, Joshua; Peterson, Eugene

As a national security science laboratory, Los Alamos is often asked to detect and measure the characteristics of complex systems and to use the resulting information to quantify the system's behavior. The Science of Signatures (SoS) pillar is the broad suite of technical expertise and capability that we use to accomplish this task. With it, we discover new signatures, develop new methods for detecting or measuring signatures, and deploy new detection technologies. The breadth of work at Los Alamos National Laboratory (LANL) in SoS is impressive and spans from the initial understanding of nuclear weapon performance during the Manhattan Project,more »« less
https://doi.org/10.2172/1049324

Full Text Available
US Perspectives on the Conventional/Nuclear Interactions and the Impacts on Nuclear Escalation Risks and Future Arms Control Prospects

Technical Report Albertson, Mike

This short paper is organized around a few discrete questions. How have U.S. perspectives on conventional and nuclear interactions evolved in recent years? How have these changing perspectives shaped U.S. thinking on perceived nuclear escalation risks with Russia, both long standing and newly emerged? And finally, what do these U.S. perceptions of interactions and risks mean for future potential arms control either in the conventional or nuclear arena? The answers to these questions appear to show some promise for future work in this area. Conventional and nuclear interactions are increasing, and thus the two domains cannot be kept as deliberatelymore »« less
https://doi.org/10.2172/2282416

Full Text Available
Analytical Cost Metrics : Days of Future Past

Technical Report Prajapati, Nirmal; Rajopadhye, Sanjay; Djidjev, Hristo

As we move towards the exascale era, the new architectures must be capable of running the massive computational problems efficiently. Scientists and researchers are continuously investing in tuning the performance of extreme-scale computational problems. These problems arise in almost all areas of computing, ranging from big data analytics, artificial intelligence, search, machine learning, virtual/augmented reality, computer vision, image/signal processing to computational science and bioinformatics. With Moore’s law driving the evolution of hardware platforms towards exascale, the dominant performance metric (time efficiency) has now expanded to also incorporate power/energy efficiency. Therefore the major challenge that we face in computing systems researchmore »« less
https://doi.org/10.2172/1422949

Full Text Available

Similar Records