Lifeboat Foundation

As the poet Dylan Thomas once explained, it is “the force that through the green fuse drives the flower.”

Organic photochemistry brings life to Earth, allowing plants to “eat” sunlight. Using this power of light to make new molecules in the lab instead of the leaf, from fuel to pharmaceuticals, is one of the grand challenges of photochemical research.

What is old is new again. Sometimes gaining new insight requires a return to old tools, with a modern twist. Now, a collaborative team from the National Renewable Energy Laboratory (NREL) and Princeton University has resurrected a century-old microwave technique to reveal a surprising feature of well-established light-driven chemistry.

THE artificial intelligence revolution has only just begun, but there have already been numerous unsettling developments.

AI programs can be used to act on humans’ worst instincts or achieve humans’ more wicked goals, like creating weapons or terrifying its creators with a lack of morality.

Artificial intelligence is a catch-all phrase for a computer program designed to simulate, mimic or copy human thinking processes.

A team of researchers from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and Stony Brook University have devised a new quantum algorithm to compute the lowest energies of molecules at specific configurations during chemical reactions, including when their chemical bonds are broken. As described in Physical Review Research, compared to similar existing algorithms, including the team’s previous method, the new algorithm will significantly improve scientists’ ability to accurately and reliably calculate the potential energy surface in reacting molecules.

For this work, Deyu Lu, a Center for Functional Nanomaterials (CFN) physicist at Brookhaven Lab, worked with Tzu-Chieh Wei, an associate professor specializing in quantum information science at the C.N. Yang Institute for Theoretical Physics at Stony Brook University, Qin Wu, a theorist at CFN, and Hongye Yu, a Ph.D. student at Stony Brook.

“Understanding the quantum mechanics of a molecule, how it behaves at an atomic level, can provide key insight into its chemical properties, like its stability and reactivity,” said Lu.

The global dairy industry is changing. Among the disruptions is competition from food alternatives not produced using animals – including potential challenges posed by synthetic milk.

Synthetic milk does not require cows or other animals. It can have the same biochemical make up as animal milk, but is grown using an emerging biotechnology technique know as “precision fermentation” that produces biomass cultured from cells.

More than 80 percent of the world’s population regularly consume dairy products. There have been increasing calls to move beyond animal-based food systems to more sustainable forms of food production.

The technology at the heart of this research takes aim at one of the key metabolic functions of cells in all living things called ATP, or adenosine triphosphate. This molecule is the primary energy carrier in cells, capturing chemical energy from the breakdown of food molecules and distributing it to power other cellular processes.

Among those cellular processes is the proliferation of cancerous cells, and because of this we have seen ATP implicated in previous anti-cancer breakthroughs. The authors of the new study sought to cut off the supply of ATP, which is generated as mitochondria soak up oxygen and convert it into the molecule.

Circa 2005 Bacteria that is resistant to radiation could lead to better radiation resistance in humans.

Relatively little is known about the biochemical basis of the capacity of Deinococcus radiodurans to endure the genetic insult that results from exposure to ionizing radiation and can include hundreds of DNA double-strand breaks. However, recent reports indicate that this species compensates for extensive DNA damage through adaptations that allow cells to avoid the potentially detrimental effects of DNA strand breaks. It seems that D. radiodurans uses mechanisms that limit DNA degradation and that restrict the diffusion of DNA fragments that are produced following irradiation, to preserve genetic integrity. These mechanisms also increase the efficiency of the DNA-repair proteins.

“Neuromorphic computing could offer a compelling alternative to traditional AI accelerators by significantly improving power and data efficiency for more complex AI use cases, spanning data centers to extreme edge applications.”

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

Can computer systems develop to the point where they can think creatively, identify people or items they have never seen before, and adjust accordingly — all while working more efficiently, with less power? Intel Labs is betting on it, with a new hardware and software approach using neuromorphic computing, which, according to a recent blog post, “uses new algorithmic approaches that emulate how the human brain interacts with the world to deliver capabilities closer to human cognition.”

Continue reading “Is Intel Labs’ brain-inspired AI approach the future of robot learning?” »

Circa 2021 face_with_colon_three

Metallic non-metals

Continue reading “Water transformed into shiny, golden metal” »

Nitrogen-vacancy (NV) center in diamond is a promising quantum sensor with remarkably versatile sensing capabilities. While scanning NV magnetometry is well-established, NV electrometry has been so far limited to bulk diamonds. Here we demonstrate imaging external alternating (AC) and direct (DC) electric fields with a single NV at the apex of a diamond scanning tip under ambient conditions. A strong electric field screening effect is observed at low frequencies. We quantitatively measure its frequency dependence and overcome this screening by mechanically oscillating the tip for imaging DC fields. Our scanning NV electrometry achieved an AC E-field sensitivity of 26‰mV‰Î¼m ˆ’1‰Hz ˆ’1/2, a DC E-field gradient sensitivity of 2‰V‰Î¼m ˆ’2‰Hz ˆ’1/2, and sub-100‰nm resolution limited by the NV-sample distance. Our work represents an important step toward building a scanning-probe-based multimodal quantum sensing platform.