Thursday - April 25, 2024
Tipoffs for Santa Fe, New Mexico (Los Alamos) Newsletter for Sunday March 28, 2021 ( 7 items )  

Congressional Research Service Report: 'Energy & Water Development - FY2021 Appropriations' (Part 1 of 2)
WASHINGTON, March 27 -- The Congressional Research Service issued the following report (No. R46384) on March 25, 2021, entitled "Energy and Water Development: FY2021 Appropriations" by energy policy specialist Mark Holt and energy policy analyst Corrie E. Clark: The Energy and Water Development and Related Agencies appropriations bill provides funding for civil works projects of the U.S. Army Corps of Engineers (USACE); the Department of the Interior's Bureau of Reclamation (Reclamation) and Ce  more

Congressional Research Service Report: 'Energy & Water Development - FY2021 Appropriations' (Part 2 of 2)
WASHINGTON, March 27 -- The Congressional Research Service issued the following report (No. R46384) on March 25, 2021, entitled "Energy and Water Development: FY2021 Appropriations": (Continued from Part 1 of 2) Cleanup of Former Nuclear Sites: Proposed Reductions and Transfers DOE's Office of Environmental Management (EM) is responsible for environmental cleanup and waste management at the department's nuclear facilities. The $6.066 billion request for EM activities for FY2021 would have bee  more

House Judiciary Subcommittee Issues Testimony From Tularosa Basin Downwinders Consortium Co-Founder Cordova
WASHINGTON, March 25 -- The House Judiciary Subcommittee on the Constitution, Civil Rights, and Civil Liberties issued the following testimony by Tina Cordova, co-founder of Tularosa Basin Downwinders Consortium, as part of a virtual hearing entitled "Examining the Need to Expand Eligibility Under the Radiation Exposure Compensation Act" on March 24, 2021: * * * My name is Tina Cordova. I'm a native New Mexican, a small business owner of 31 years, a Downwinder and a cancer survivor. I'm also a  more

Los Alamos Activity Report for Week Ending March 5, 2021
WASHINGTON, March 27 -- The Defense Nuclear Facilities Safety Board's Resident Inspector in Los Alamos National Laboratory issued the following weekly report: MEMORANDUM FOR: Christopher J. Roscetti, Technical Director FROM: J.W. Plaue and D. Gutowski, Resident Inspectors SUBJECT: Los Alamos Activity Report for Week Ending March 5, 2021 DNFSB Staff Activity: On Wednesday, a staff team conducted a series of web conferences with personnel from EM Headquarters, the EM Field Office, and N3B to d  more

Los Alamos National Laboratory: New Class of Versatile, High-Performance Quantum Dots Primed for Medical Imaging, Quantum Computing
LOS ALAMOS, New Mexico, March 26 (TNSJou) -- The U.S. Department of Energy's Los Alamos National Laboratory issued the following news release on March 25, 2021: A new class of quantum dots deliver a stable stream of single, spectrally tunable infrared photons under ambient conditions and at room temperature, unlike other single photon emitters. This breakthrough opens a range of practical applications, including quantum communication, quantum metrology, medical imaging and diagnostics, and clan  more

Los Alamos National Laboratory: Next-Generation Tech for Biofuels Refining
LOS ALAMOS, New Mexico, March 23 -- The U.S. Department of Energy's Los Alamos National Laboratory issued the following news release: Helping to strengthen the economic viability of biorefineries in the production of alternative fuels derived from biomass is critical to decreasing the use of fossil fuels and mitigating carbon dioxide emissions. To that end, a collaboration between Los Alamos National Laboratory and Jenike & Johanson, a bulk solids storage company, and funded by the U.S. Departm  more

Los Alamos National Laboratory: Solving 'Barren Plateaus' Is the Key to Quantum Machine Learning
LOS ALAMOS, New Mexico, March 19 (TNSJou) -- The U.S. Department of Energy's Los Alamos National Laboratory issued the following news release: Many machine learning algorithms on quantum computers suffer from the dreaded "barren plateau" of unsolvability, where they run into dead ends on optimization problems. This challenge had been relatively unstudied--until now. Rigorous theoretical work has established theorems that guarantee whether a given machine learning algorithm will work as it scale  more