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16-Jan-2019
Engineered light to improve health, food, suggests Sandia researcher in Nature
DOE/Sandia National LaboratoriesPeer-Reviewed Publication
intentionally controlled light can help regulate human health and productivity by eliciting various hormonal responses. Tailored LED wavelengths and intensities also can efficiently stimulate plant growth, alter their shapes and increase their nutritional value, opening a new world of scientific and technological possibilities for indoor farming.
- Journal
- Nature
- Funder
- Department of Energy Solid State Lighting Program
11-Jan-2019
'Realistic' new model points the way to more efficient and profitable fracking
DOE/Los Alamos National LaboratoryPeer-Reviewed Publication
A new computational model could potentially boost efficiencies and profits in natural gas production by better predicting previously hidden fracture mechanics. It also accurately accounts for the known amounts of gas released during the process.
- Journal
- Proceedings of the National Academy of Sciences
- Funder
- Los Alamos National Laboratory
10-Jan-2019
Heat it and read it
DOE/Sandia National Laboratories
Unlike most medical diagnostic devices which can perform only one type of test -- either protein or nucleic acid tests -- Sandia's SpinDx can now perform both. This allows it to identify nearly any cause of illness, including viruses, bacteria, toxins or immune system markers of chemical agent exposure.
10-Jan-2019
More stable light comes from intentionally 'squashed' quantum dots
DOE/Los Alamos National LaboratoryPeer-Reviewed Publication
Intentionally 'squashing' colloidal quantum dots during chemical synthesis creates dots capable of stable, 'blink-free' light emission that is fully comparable with the light produced by dots made with more complex processes.
- Journal
- Nature Materials
7-Jan-2019
Quantum computing steps further ahead with new projects at Sandia
DOE/Sandia National LaboratoriesGrant and Award Announcement
Sandia Labs is constructing a small quantum computer available to government, industry and academia to test the system with their own algorithms. Other parts of the $42 million grants enable monitoring of the machine, making connections to ordinary programming language, and connections with high-level science problems.
- Funder
- DOE/US Department of Energy
3-Jan-2019
Sandia microneedles technique may mean quicker diagnoses of major illnesses
DOE/Sandia National LaboratoriesPeer-Reviewed Publication
Microneedles able to draw relatively large amounts of interstitial fluid -- a liquid that lurks just under the skin -- opens new possibilities. Previously, microneedles -- tiny, hollow, stainless steel needles -- have drained tiny amounts of interstitial fluid needed to analyze electrolyte levels but could not draw enough fluid to make more complicated medical tests practical. The new method's larger draws could be more effective in rapidly measuring exposure to chemical and biological warfare agents as well as diagnosing cancer and other diseases.
- Journal
- Communications Biology
- Funder
- Sandia Laboratory Directed Research and Development office, Defense Threat Reduction Agency
18-Dec-2018
Machine learning-detected signal predicts time to earthquake
DOE/Los Alamos National LaboratoryPeer-Reviewed Publication
Machine-learning research published in two related papers today in Nature Geosciences reports the detection of seismic signals accurately predicting the Cascadia fault's slow slippage, a type of failure observed to precede large earthquakes in other subduction zones.
- Journal
- Nature Geoscience
7-Dec-2018
Friendly electromagnetic pulse improves survival for electronics
DOE/Sandia National LaboratoriesBusiness Announcement
A friendly EMP created at Sandia National Laboratories tests equipment resistance to an adversary's potential atmospheric explosion of a nuclear weapon.
- Funder
- National Nuclear Security Administration
5-Dec-2018
Arctic ice model upgrade to benefit polar research, industry and military
DOE/Los Alamos National Laboratory
An update for an internationally vital sea-ice computer model developed at Los Alamos National Laboratory with several collaborating groups, called CICE version 6.0, is being released this week, a timely tool that supports more accurate forecasting of ice occurrence and global climate modeling.