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NASA’s James Webb Space Telescope Captures Signs Of Weird Weather On Titan For The First Time

Saturn’s moon Titan is one of the weirdest and most intriguing worlds in our solar system. It is the only place we know of in the universe for sure beyond Earth that has rivers, lakes and larger bodies of liquid, but on Titan these features are filled with flammable hydrocarbons like methane and ethane.

Studying Titan in depth has been difficult due to a thick atmosphere of clouds and haze, but NASA’s James Webb Space Telescope (JWST) is giving scientists their first detailed glimpse of those clouds, and by extension, the weather patterns at work on this unique world.

“We had waited for years to use Webb’s infrared vision to study Titan’s atmosphere,” said JWST Principal Investigator Conor Nixon. “Detecting clouds is exciting because it validates long-held predictions from computer models about Titan’s climate, that clouds would form readily in the mid-northern hemisphere during its late summertime when the surface is warmed by the Sun.”

Engineers use quantum computing to develop transparent window coating that blocks heat, saves energy

Cooling accounts for about 15 percent of global energy consumption. Conventional clear windows allow the sun to heat up interior spaces, which energy-guzzling air-conditioners must then cool down. But what if a window could help cool the room, use no energy and preserve the view?

Tengfei Luo, the Dorini Family Professor of Energy Studies at the University of Notre Dame, and postdoctoral associate Seongmin Kim have devised a transparent coating for windows that does just that.

The coating, or transparent radiative cooler (TRC), allows to come in and keeps other heat-producing light out. The researchers estimate that this invention can reduce electric cooling costs by one-third in hot climates compared to conventional glass windows.

NASA uses a climate simulation supercomputer to better understand black hole jets

NASA’s Discover supercomputer simulated the extreme conditions of the distant cosmos.

A team of scientists from NASA’s Goddard Space Flight Center used the U.S. space agency’s Center for Climate Simulation (NCCS) Discover supercomputer to run 100 simulations of jets emerging from supermassive black holes.

The scientists set out to better understand these jets — massive beams of energetic particles shooting out into the cosmos — as they play a crucial role in the evolution of the universe.

Engineers use quantum computing to develop transparent window coating that blocks heat

Cooling accounts for about 15 percent of global energy consumption. Conventional clear windows allow the sun to heat up interior spaces, which energy-guzzling air-conditioners must then cool down. But what if a window could help cool the room, use no energy and preserve the view?

Tengfei Luo, the Dorini Family Professor of Energy Studies at the University of Notre Dame, and postdoctoral associate Seongmin Kim have devised a transparent coating for windows that does just that (ACS Energy Letters, “High-Performance Transparent Radiative Cooler Designed by Quantum Computing”).

The coating, or transparent radiative cooler (TRC), allows visible light to come in and keeps other heat-producing light out. The researchers estimate that this invention can reduce electric cooling costs by one-third in hot climates compared to conventional glass windows.

This Artificial Intelligence (AI) Model Knows How to Detect Novel Objects During Object Detection

Object detection has been an important task in the computer vision domain in recent decades. The goal is to detect instances of objects, such as humans, cars, etc., in digital images. Hundreds of methods have been developed to answer a single question: What objects are where?

Traditional methods tried to answer this question by extracting hand-crafted features like edges and corners within the image. Most of these approaches used a sliding-window approach, meaning that they kept checking small parts of the image in different scales to see if any of these parts contained the object they were looking for. This was really time-consuming, and even the slightest change in the object shape, lightning, etc., could have caused the algorithm to miss it.

Then there came the deep learning era. With the increasing capability of computer hardware and the introduction of large-scale datasets, it became possible to exploit the advancement in the deep learning domain to develop a reliable and robust object detection algorithm that could work in an end-to-end manner.

High-performance and compact vibration energy harvester created for self-charging wearable devices

Walking can boost not only your own energy but also, potentially, the energy of your wearable electronic devices. Osaka Metropolitan University scientists made a significant advance toward self-charging wearable devices with their invention of a dynamic magnifier-enhanced piezoelectric vibration energy harvester that can amplify power generated from impulsive vibrations, such as from a human walking, by about 90 times, while remaining as small as currently developed energy harvesters. The results were published in Applied Physics Letters.

These days, people carry multiple such as smartphones, and wearable devices are expected to become increasingly widespread in the near future. The resulting demand for more efficient recharging of these devices has increased the attention paid to energy harvesting, a technology that converts energy such as heat and light into electricity that can small devices. One form of energy harvesting called vibration energy harvesting is deemed highly practical given that it can transform the from vibration into electricity and is not affected by weather or climate.

A research team led by Associate Professor Takeshi Yoshimura from the Graduate School of Engineering at Osaka Metropolitan University has developed a microelectromechanical system (MEMS) piezoelectric vibration energy harvester that is only approximately 2 cm in diameter with a U-shaped metal component called a dynamic magnifier. Compared with conventional harvesters, the new harvester allows for an increase of about 90 times in the power converted from impulsive vibrations, which can be generated by the human walking motion.

UMaine unveils first 3D-printed home in a bid to mass-produce affordable housing

Researchers at the University of Maine on Monday unveiled what they say is a promising, climate-friendly response to the nation’s affordable housing crisis: the world’s first, bio-based 3D printed home.

University, state and federal officials joined Maine Gov. Janet Mills and U.S. Sen. Susan Collins at a ribbon-cutting ceremony to celebrate the 600-square-foot-home.


The home is made entirely from a wood-based material, which University of Maine researchers say is an inexpensive, renewable and recyclable building option.

Lightning no longer a mystery, physicist publishes landmark paper revealing clues about phenomenon

It is essential to understand how lightning works so that buildings, airplanes, skyscrapers, and people can be protected more effectively.

Ever wondered why lightning zig-zags? Or how it is connected to the thundercloud ago? You might have tried looking up the many textbooks on the lightning but failed to find a definite and convincing answer.


Solarseven/iStock.

That is, until now.

Microscale structure of rock affects microseismicity at underground carbon dioxide storage site

Mitigating and reversing the effects of climate change is the most important scientific challenge facing humanity. Carbon sequestration describes a range of technologies with the potential to reduce the concentration of carbon dioxide (CO2) in the atmosphere. Most of these schemes involve storing the gas underground, however, this is not without risk, and scientists are concerned that underground storage could lead to increased seismic activity (a phenomenon known as “induced seismicity”).

Now, researchers in the US and Switzerland have studied microseismicity, the small seismic events caused by carbon injection into host rock, at the Illinois Basin Decatur Project (IBDP) in the midwestern US. In 2011–2014, the IBDP injected one million tonnes of CO2 into an underground reservoir just above a rhyolite crystalline basin. Nikita Bondarenko and Roman Makhnenko at the University of Illinois and Yury Podladchikov at the University of Lausanne have used a combination of field observations and computer simulations to show how microseismicity at the IBDP is highly dependent on the microscale structure of the host rock.

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