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Harvey Ayers 2021-06-17
(DOE/Los Alamos National Laboratory) A research team from Los Alamos National Laboratory and Purdue University have developed bio-inks for biosensors that could help localize critical regions in tissues and organs during surgical operations.
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Ronald Griffis 2020-08-20
(DOE/Los Alamos National Laboratory) Los Alamos National Laboratory computer scientists have developed a new artificial intelligence (AI) system that may be able to identify malicious codes that hijack supercomputers to mine for cryptocurrency such as Bitcoin and Monero.
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0
George Comer 2021-07-15
(DOE/Los Alamos National Laboratory) Using a D-Wave quantum-annealing computer as a testbed, scientists at Los Alamos National Laboratory have shown that it is possible to isolate so-called emergent magnetic monopoles, a class of quasiparticles, creating a new approach to developing "materials by design."
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0
Shane Higgins 2020-10-29
(DOE/Los Alamos National Laboratory) Researchers at Los Alamos National Laboratory and their collaborators from the University of California, Irvine have created fundamental electronic building blocks out of tiny structures known as quantum dots and used them to assemble functional logic circuits.
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0
Jeff Bautista 2020-10-29
(DOE/Los Alamos National Laboratory) A new study confirms the success of a natural-gas leak-detection tool pioneered by Los Alamos National Laboratory scientists that uses sensors and machine learning to locate leak points at oil and gas fields, promising new automatic, affordable sampling across vast natural gas infrastructure.
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0
John Johannes 2021-07-21
(DOE/Los Alamos National Laboratory) A team of scientists at Los Alamos National Laboratory propose that modulated quantum metasurfaces can control all properties of photonic qubits, a breakthrough that could impact the fields of quantum information, communications, sensing and imaging, as well as energy and momentum harvesting.
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Bob Sun 2019-10-16
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LOS ALAMOS, N.M., Oct. 16, 2019--Los Alamos National Laboratory scientists Brian Albright, Patrick Chain, Dana Dattelbaum, Michael Hamada, Anna Hayes-Sterbenz, Michael Prime and Laura Smilowitz are being honored as 2019 Laboratory fellows.

"Los Alamos National Laboratory Fellows are the best of our scientists and engineers.

This year's fellows are leaders in their fields who have made exceptional contributions not only to the Laboratory's national security mission, but also to the broader scientific community," said Thom Mason, director of Los Alamos National Laboratory.

Brian Albright, of Primary Physics, is an expert in plasma physics with diverse and high-impact contributions in both open science and nuclear weapons.

Patrick Chain, of Biosecurity and Public Health, is an authority in environmental microbiology, infectious disease research and bioinformatics applied to defense, health and agriculture.

He investigates biothreat diversity, microbial evolution and the relationship between non-pathogen near neighbors.

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James Bice 2021-06-12
(DOE/Los Alamos National Laboratory) For the first time, the boundary of the heliosphere has been mapped, giving scientists a better understanding of how solar and interstellar winds interact.
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Richard Baty 2021-02-23
(DOE/Los Alamos National Laboratory) A revolutionary machine-learning (ML) approach to simulate the motions of atoms in materials such as aluminum is described in this week's Nature Communications journal.
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0
William Ly 2021-04-07
(DOE/Los Alamos National Laboratory) In the vast Colorado River basin, climate change is driving extreme, interconnected events among earth-system elements such as weather and water.
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0
Ryan Pak 2020-07-29
(DOE/Los Alamos National Laboratory) A multi-institution team has used positron beams to probe the nature of radiation effects, providing new insight into how damage is produced in iron films.
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0
Carl Fox 2021-02-25
(DOE/Los Alamos National Laboratory) The Beaufort Sea, the Arctic Ocean's largest freshwater reservoir, has increased its freshwater content by 40 percent over the last two decades, putting global climate patterns at risk.
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0
David Carter 2021-04-22
(DOE/Los Alamos National Laboratory) A new machine-learning model that generates realistic seismic waveforms will reduce manual labor and improve earthquake detection, according to a study published recently in JGR Solid Earth.
collect
0
Carl Dechant 2021-03-25
(DOE/Los Alamos National Laboratory) 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.
collect
0
Charles Pete 2021-03-19
(DOE/Los Alamos National Laboratory) Many machine learning algorithms on quantum computers suffer from the dreaded "barren plateau" of unsolvability, where they run into dead ends on optimization problems.
collect
0
James Farr 2021-01-27
(DOE/Los Alamos National Laboratory) A new 3D analysis shows that wildland fires flare up in forests populated by similar-sized trees or checkerboarded by large clearings and slow down where trees are more varied.
collect
0
Harvey Ayers 2021-06-17
(DOE/Los Alamos National Laboratory) A research team from Los Alamos National Laboratory and Purdue University have developed bio-inks for biosensors that could help localize critical regions in tissues and organs during surgical operations.
George Comer 2021-07-15
(DOE/Los Alamos National Laboratory) Using a D-Wave quantum-annealing computer as a testbed, scientists at Los Alamos National Laboratory have shown that it is possible to isolate so-called emergent magnetic monopoles, a class of quasiparticles, creating a new approach to developing "materials by design."
Jeff Bautista 2020-10-29
(DOE/Los Alamos National Laboratory) A new study confirms the success of a natural-gas leak-detection tool pioneered by Los Alamos National Laboratory scientists that uses sensors and machine learning to locate leak points at oil and gas fields, promising new automatic, affordable sampling across vast natural gas infrastructure.
Bob Sun 2019-10-16
img

LOS ALAMOS, N.M., Oct. 16, 2019--Los Alamos National Laboratory scientists Brian Albright, Patrick Chain, Dana Dattelbaum, Michael Hamada, Anna Hayes-Sterbenz, Michael Prime and Laura Smilowitz are being honored as 2019 Laboratory fellows.

"Los Alamos National Laboratory Fellows are the best of our scientists and engineers.

This year's fellows are leaders in their fields who have made exceptional contributions not only to the Laboratory's national security mission, but also to the broader scientific community," said Thom Mason, director of Los Alamos National Laboratory.

Brian Albright, of Primary Physics, is an expert in plasma physics with diverse and high-impact contributions in both open science and nuclear weapons.

Patrick Chain, of Biosecurity and Public Health, is an authority in environmental microbiology, infectious disease research and bioinformatics applied to defense, health and agriculture.

He investigates biothreat diversity, microbial evolution and the relationship between non-pathogen near neighbors.

Richard Baty 2021-02-23
(DOE/Los Alamos National Laboratory) A revolutionary machine-learning (ML) approach to simulate the motions of atoms in materials such as aluminum is described in this week's Nature Communications journal.
Ryan Pak 2020-07-29
(DOE/Los Alamos National Laboratory) A multi-institution team has used positron beams to probe the nature of radiation effects, providing new insight into how damage is produced in iron films.
David Carter 2021-04-22
(DOE/Los Alamos National Laboratory) A new machine-learning model that generates realistic seismic waveforms will reduce manual labor and improve earthquake detection, according to a study published recently in JGR Solid Earth.
Charles Pete 2021-03-19
(DOE/Los Alamos National Laboratory) Many machine learning algorithms on quantum computers suffer from the dreaded "barren plateau" of unsolvability, where they run into dead ends on optimization problems.
Ronald Griffis 2020-08-20
(DOE/Los Alamos National Laboratory) Los Alamos National Laboratory computer scientists have developed a new artificial intelligence (AI) system that may be able to identify malicious codes that hijack supercomputers to mine for cryptocurrency such as Bitcoin and Monero.
Shane Higgins 2020-10-29
(DOE/Los Alamos National Laboratory) Researchers at Los Alamos National Laboratory and their collaborators from the University of California, Irvine have created fundamental electronic building blocks out of tiny structures known as quantum dots and used them to assemble functional logic circuits.
John Johannes 2021-07-21
(DOE/Los Alamos National Laboratory) A team of scientists at Los Alamos National Laboratory propose that modulated quantum metasurfaces can control all properties of photonic qubits, a breakthrough that could impact the fields of quantum information, communications, sensing and imaging, as well as energy and momentum harvesting.
James Bice 2021-06-12
(DOE/Los Alamos National Laboratory) For the first time, the boundary of the heliosphere has been mapped, giving scientists a better understanding of how solar and interstellar winds interact.
William Ly 2021-04-07
(DOE/Los Alamos National Laboratory) In the vast Colorado River basin, climate change is driving extreme, interconnected events among earth-system elements such as weather and water.
Carl Fox 2021-02-25
(DOE/Los Alamos National Laboratory) The Beaufort Sea, the Arctic Ocean's largest freshwater reservoir, has increased its freshwater content by 40 percent over the last two decades, putting global climate patterns at risk.
Carl Dechant 2021-03-25
(DOE/Los Alamos National Laboratory) 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.
James Farr 2021-01-27
(DOE/Los Alamos National Laboratory) A new 3D analysis shows that wildland fires flare up in forests populated by similar-sized trees or checkerboarded by large clearings and slow down where trees are more varied.