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Researchers at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in laser technology by using machine learning (ML) to help stabilize a high-power laser.

This advancement, spearheaded by Berkeley Lab’s Accelerator Technology & Applied Physics (ATAP) and Engineering Divisions, promises to accelerate progress in physics, medicine, and energy. The researchers report their work in the journal High Power Laser Science and Engineering.

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a compact dynamic cantilever magnetometer with a diameter of just 22 mm, achieving magnetic moment sensitivity on the order of 10-17 A·m2.

“This breakthrough fills a technological gap in ultra-sensitive magnetic measurements for small, low-dimensional materials under ,” said Prof. Wang Ning, a member of the team.

The study was published in Review of Scientific Instruments.

Technology veteran IBM on Tuesday laid out a plan to have a “practical” quantum computer tackling big problems before the end of this decade.

Current quantum computers are still experimental and face significant challenges, including high error rates. Companies like IBM, Google, and others are working to build more stable and scalable quantum systems.

Real-world innovations that quantum computing has the potential to tackle include developing better fuels, materials, pharmaceuticals, or even new elements. However, delivering on that promise has always seemed some way off.

The organization of this paper is as follows. In Section 2 we introduce the formalism used to estimate the number of lunar craters containing ore-bearing asteroid remnants. In Section 2.1, we use the formalism to estimate the number of PGM ore-bearing craters, and in Section 2.2, we use it to obtain the number of water-bearing craters, before concluding in Section 3.

If we chose to shovel matter along a straight line through the observable Universe, what is the average mass of matter per unit area that our shovel will collect? To answer this question, I did a simple calculation before my morning jog at sunrise today.

The answer depends on how far the shovel goes. Projecting all the matter out to the farthest galaxy, MoM-z14, discovered last month by the Webb telescope at a cosmic redshift 14.44 or equivalently 280 million years after the Big Bang, the answer is about 0.5 grams per square centimeter, of order the mass per unit area of a thumb. This establishes the cosmic rule-of-thumb: the observable universe yields on average as much mass per unit area as a thumb.

This mass budget includes mostly dark matter whose nature is unknown. Ordinary matter accounts for only 16% of the total budget or 0.08 grams per square centimeter out to MoM-z14, of order the surface mass density of a fingernail.

Scientists know the stomach talks to the brain, but two new studies from Rutgers Health researchers suggest the conversation is really a tug-of-war, with one side urging another bite, the other signaling “enough.”

Together, the papers in Nature Metabolism and Nature Communications trace the first complementary wiring diagram of hunger and satiety in ways that could refine today’s blockbuster weight-loss drugs and blunt their side effects.

One study, led by Zhiping Pang of Robert Wood Johnson Medical School’s Center for NeuroMetabolism, pinpointed a slender bundle of neurons that runs from the hypothalamus to the brainstem.

The bottom line is that no matter what the zero-point energy is, it’s the background of the universe on top of which all of physics takes place. Just as you can’t go lower than the ground floor of a building with no basement, you can’t get lower than the ground state of the universe — so there’s nothing for you to extract, and there’s no way to leverage that into useful applications of energy.

So, unfortunately, any work you do in the universe will have to be done the old-fashioned way.