Spray-on coating could make solar panels snow-resistant

In an advance that could dramatically improve the productivity of solar panels in cold climates, a University of Michigan-led team has demonstrated an inexpensive, clear coating that reduced snow and ice accumulation on solar panels, enabling them to generate up to 85% more energy in early testing.

The coating is made chiefly of PVC or PDMS plastic and silicon or vegetable-based oils. It can be sprayed or brushed on in cold weather and, in its current iteration, can keep shedding snow and ice for up to a year.

“Renewable energy is really taking off right now, but snow is a huge problem in northern climates,” said Anish Tuteja, U-M professor of materials science and engineering, who led the study in collaboration with Sandia National Laboratories and the University of Alaska.

“Solar panels might lose 80 or 90% of their generating capacity in the winter. So figuring out a way for them to continue generating energy throughout the year was an exciting challenge,” he said.

While Tuteja’s lab has developed a number of effective ice-shedding coatings in the past, he explains that designing a coating that can passively shed both snow and ice represents a special challenge.

“Ice is relatively dense and heavy, and our previous coatings used its own weight against it,” Tuteja said. “But snow can be 10 times less dense than ice, so we weren’t at all certain that the tricks we use on ice would translate to snow.”

Extinct reptile discovery reveals earliest origins of human teeth, study finds

Infographic showing differentiated teeth
Credit: Dr Suresh Singh

A new extinct reptile species has shed light on how our earliest ancestors became top predators by modifying their teeth in response to environmental instability around 300 million years ago.

In findings published in Royal Society Open Science, researchers at the University of Bristol have discovered that this evolutionary adaptation laid the foundations for the incisor, canine and molar teeth that all mammals - including humans - possess today.

Shashajaia is one of the most primitive members of a group called the Sphenacodontoidea, which includes the famous sail-backed Dimetrodon, and mammal-like reptiles known as therapsids, which eventually evolved into mammals. It is remarkable for its age and anatomy, possessing a very unique set of teeth that set it apart from other synapsids – meaning the animal lineage that mammals belong to - of the time.

Dr Suresh Singh of the School of Earth Sciences explained: “The teeth show clear differentiation in shape between the front and back of the jaw, organized into distinct regions. This is the basic precursor of what mammals have today – incisors and canines up front, with molars in the back. This is the oldest record of such teeth in our evolutionary tree”.

China-wide study will boost understanding of fatal surgical complication

Older patients in hospitals across China took part in a major multi-center open-label randomized clinical trial that showed there was no difference in post-operative delirium in older people with a hip fracture, if they had a general anesthesia, or a regional anesthesia.

Post-operative delirium is a common, serious, neurological, complication where people have a sudden change in their brain functions after an operation. It is more common in older people, and leads to increased death, dementia, post-traumatic stress disorder, a longer length of hospital stay, extra nursing requirements and increased healthcare costs.

People with a hip fracture require an operation to fix the fracture which requires anesthesia - classified as general anesthesia, or regional anesthesia. A general anesthetic technique involves inducing sleep or loss of consciousness through inhaled or intravenous anesthetics. Regional anesthesia involves injecting local anesthetic inside the spine or around the nerves to prevent pain in the leg with the hip fracture.

It was commonly thought that one of the causes of delirium is a general anesthesia. Led by the University of Birmingham and Wenzhou Medical University Second Affiliated Hospital, this randomized trial was the first of its kind in China. 950 older adult took part, from hospitals in Wenzhou, Wuhan, Lishui, Ningbo, Nanchang, and Taizhou.

The trial was set up to provide clinical evidence with a robust methodology, to help medical professionals select appropriate anesthesia for older patients to try and reduce the development of delirium.

Crows keep special tools extra safe

Credit James St Clair

Just like humans, New Caledonian crows are particularly careful when handling their most valuable tools, according to a new study by researchers from the University of St Andrews and the Max Planck Institute of Animal Behavior.

The research, published in the leading scientific journal eLife today (21 December 2021), reveals that crows are more likely to store relatively complex and efficient foraging tools for future use than more basic tools.

New Caledonian crows are renowned for using different types of tools for extracting prey from tree holes and other hiding places. While they firmly hold their tools in the bill during foraging, they need to put them down to eat. This is when crows are at risk of losing their tools by accidentally dropping them or having them stolen by other crows.

In an earlier study, the researchers from the School of Biology at the University of St Andrews had shown that crows keep their tools safe when not needed, using one of two ‘safekeeping’ strategies – they either securely hold them trapped underfoot, or they temporarily insert them into a nearby hole or behind bark. But are crows more careful when handling particularly valuable tools.

New class of galac­tic nebulae disco­vered

Image: Discovery image of the nebula. For this image, 120 individual exposures had to be combined to obtain a total exposure time of 20 hours. The images were taken over several months from Brazil. Credit: Maicon Germiniani

An international team of astronomers led by Stefan Kimeswenger from the Department of Astro and Particle Physics, together with scientific amateurs, has identified a new class of galactic nebulae. This provides an important building block in the understanding of stellar evolution and shows the importance of international collaboration between university research and community science.

For the first time, scientists, starting from a discovery by scientific amateurs, have succeeded in providing evidence for a fully developed shell of a common-envelope-system (CE) – the phase of the common envelope of a binary star system. “Toward the end of their lives, normal stars inflate into red giant stars. Since a very large fraction of stars are in binary stars, this affects the evolution at the end of their lives. In close binary systems, the inflating outer part of a star merges as a common envelope around both stars. However, inside this gas envelope the cores of the two stars are practically undisturbed and follow their evolution like independent single stars,” explains astrophysicist Stefan Kimeswenger. The researchers have now published their results in the journal Astronomy & Astrophysics.

Ground-breaking sensors aboard NASA’s historic space telescope

After NASA launches the James Webb Space Telescope (JWST) on a historic mission this December, scientists anticipate their first glimpse of the most distant objects ever seen in the universe. Technology developed and tested at the University of Hawaiʻi Institute for Astronomy (IfA) and on Maunakea are behind JWST’s ability to gaze deeper into space than ever before.

Sixteen near-infrared (NIR) sensors known as HAWAII-2RGs are part of JWST’s science instruments, enabling it to capture near-infrared light from deep space, far surpassing the capability of NASA’s Hubble Space Telescope. These sensors are the culmination of years of research and development by IfA scientists and engineers. Early prototypes were developed and tested by UH astronomers Don Hall, Klaus Hodapp, and Doug Simons, along with IfA instrumentation engineer Shane Jacobson.

A superstar enzyme is ready for its close-up

This illustration features a cryo-EM “map” of the photosystem II complex. It is a 3D reconstruction, based on two-dimensional cryo-EM images, with different protein subunits of the complex colored individually. Source/Credit: Yale University

A Yale-led team of chemists has unveiled the blueprints for a key enzyme that may contain design principles for a new generation of synthetic solar fuel catalysts.

The research, led by Yale’s Gary Brudvig and Christopher Gisriel, uses cryo-electron microscopy on a microorganism called Synechocystis to get an extreme close-up picture of Photosystem II, the enzyme in photosynthesis that uses water as a solar fuel, enabling researchers to observe how the enzyme works.

The study, which appears in the journal Proceedings of the National Academy of Sciences, was co-authored by researchers from the University of California-Riverside, Boston College, and City University of New York.

Photosynthesis is the mechanism by which plants and certain microorganisms, like Synechocystis, use sunlight to synthesize food from carbon dioxide and water — and fill the atmosphere with oxygen as a byproduct. At the heart of photosynthesis is Photosystem II, an enzyme that oxides water molecules, taking away their electrons to use as fuel.

AI Innovation Incubator to advance artificial intelligence for applied science

Lawrence Livermore National Laboratory (LLNL) has established the AI Innovation Incubator (AI3), a collaborative hub aimed at uniting experts in artificial intelligence (AI) from LLNL, industry and academia to advance AI for large-scale scientific and commercial applications.

LLNL has entered into a new memoranda of understanding with Google, IBM and NVIDIA, with plans to use the incubator to facilitate discussions and form future collaborations around hardware, software, tools and utilities to accelerate AI for applied science. In addition, several existing projects will fall under the AI3 umbrella, including continued work with Hewlett Packard Enterprise (HPE) and Advanced Micro Devices Inc. (AMD) to demonstrate the power of AI and high performance computing (HPC) on the future exascale system El Capitan. This project focuses on innovative, AI-driven cognitive simulation and design optimization methods at unprecedented scales to devise novel approaches to inertial confinement fusion (ICF) experiments at the National Ignition Facility.

Other ongoing projects with AI accelerator/computing companies SambaNova Systems and Cerebras Systems and precision motion company Aerotech, Inc. will be further developed through AI3. More companies, universities and leaders in the AI space are encouraged to consider joining AI3, where early research areas are expected to include advanced material design, 3D printing, predictive biology, energy systems, “self-driving” lasers and fusion energy research.

PPPL unravels a puzzle to speed the development of fusion energy

Yichen Fu, center, lead author of the path-setting paper with co-authors Laura Xing Zhang and Hong Qin.
Photos of Fu and Qin by Elle Starkman/Office of Communications; collage by Kiran Sudarsanan.

Researchers at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory have developed an effective computational method to simulate the crazy-quilt movement of free electrons during experimental efforts to harness on Earth the fusion power that drives the sun and stars. The method cracks a complex equation that can enable improved control of the random and fast-moving moving electrons in the fuel for fusion energy.

Fusion produces enormous energy by combining light elements in the form of plasma — the hot, charged gas composed of free electrons and atomic nuclei, or ions, that makes up 99 percent of the visible universe. Scientists around the world are seeking to reproduce the fusion process to provide a safe, clean and abundant power to generate electricity.

Solving the equation

A key hurdle for researchers developing fusion on doughnut-shaped devices called tokamaks, which confine the plasma in magnetic fields, has been solving the equation that describes the motion of free-wheeling electrons as they collide and bounce around. Standard methods for simulating this motion, technically called pitch-angle scattering, have proven unsuccessful due to the complexity of the equation.

Measuring a quantum computer’s power just got faster and more accurate

Sandia National Laboratories has designed a faster, more accurate style of test for quantum computers, such as the one pictured here.
Photo by Bret Latter

What does a quantum computer have in common with a top draft pick in sports? Both have attracted lots of attention from talent scouts. Quantum computers, experimental machines that can perform some tasks faster than supercomputers, are constantly evaluated, much like young athletes, for their potential to someday become game-changing technology.

Now, scientist-scouts have their first tool to rank a prospective technology’s ability to run realistic tasks, revealing its true potential and limitations.

A new kind of benchmark test, designed at Sandia National Laboratories, predicts how likely it is that a quantum processor will run a specific program without errors.

The so-called mirror-circuit method, published today in Nature Physics, is faster and more accurate than conventional tests, helping scientists develop the technologies that are most likely to lead to the world’s first practical quantum computer, which could greatly accelerate research for medicine, chemistry, physics, agriculture and national security.