Showing 20 articles starting at article 201

< Previous 20 articles        Next 20 articles >

Categories: Energy: Alternative Fuels, Mathematics: Modeling

Return to the site home page

     (via sciencedaily.com)     Original source 

Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes. Now, scientists are developing computer simulation codes that will outperform current simulation techniques and aid the production of microchips using plasma, the electrically charged state of matter also used in fusion research. These codes could help increase the efficiency of the manufacturing process and potentially stimulate the renaissance of the chip industry in the United States.

     (via sciencedaily.com)     Original source 

Physicists have used complex computer simulations to develop a new design for significantly more efficient solar cells than previously available. A thin layer of organic material, known as tetracene, is responsible for the increase in efficiency.

     (via sciencedaily.com)     Original source 

Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made solely based on the crystal structures of these metal complexes, thus eliminating the need for time-consuming experiments and complex simulations. As a result, this method is expected to accelerate the development of functional materials, especially for high-density memory and quantum computing devices.

     (via sciencedaily.com)     Original source 

Researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains.

     (via sciencedaily.com)     Original source 

A key step to achieving climate neutrality in the European Union is to rapidly shift from fossil fuels to electric technologies powered by renewable energies, a new study shows. At the same time, hydrogen produced from electricity will also be indispensable in hard-to-electrify sectors such as aviation, shipping and chemicals. By 2050, electrification and hydrogen are the key strategies to reach climate neutrality based on renewable power.

     (via sciencedaily.com)     Original source 

Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.

     (via sciencedaily.com)     Original source 

Engineers have studied how insects navigate, for the purpose of developing energy-efficient robots.

     (via sciencedaily.com)     Original source 

Hydrogen stored in hydrogen boride sheets can be efficiently released electrochemically, report scientists. Through a series of experiments, they demonstrated that dispersing these sheets in an organic solvent and applying a small voltage is enough to release all the stored hydrogen efficiently. These findings suggest hydrogen boride sheets could soon become a safe and convenient way to store and transport hydrogen, which is a cleaner and more sustainable fuel.

     (via sciencedaily.com)     Original source 

In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, model-based methods fail when texture-less surfaces are present, and learning-based methods require the same camera settings during training and testing. Now, researchers have come up with an innovative strategy for depth estimation that combines the best of both the worlds to solve these limitations, extending the applicability of depth from focus/defocus.

     (via sciencedaily.com)     Original source 

The past year has seen major advances in Large Language Models (LLMs) such as ChatGPT. The ability of these models to interpret and produce human text sources (and other sequence data) has implications for people in many areas of human activity. A new perspective paper argues that like many professionals, neuroscientists can either benefit from partnering with these powerful tools or risk being left behind.

     (via sciencedaily.com)     Original source 

Cutting-edge research converted waste carbon dioxide into a potential precursor for chemicals and carbon-free fuel.

     (via sciencedaily.com)     Original source 

Researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.

     (via sciencedaily.com)     Original source 

In hydrogen fuel cells, electrolyte membranes frequently undergo deformation and develop cracks during operation. A research team has recently introduced a fatigue-resistant polymer electrolyte membrane for hydrogen fuel cells, employing an interpenetrating network of Nafion (a plastic electrolyte) and perfluoropolyether (a rubbery polymer). This innovation will not only improve fuel cell vehicles but also promises advancements in diverse technologies beyond transportation, spanning applications from drones to desalination filters and backup power sources.

     (via sciencedaily.com)     Original source 

Switching to ammonia as a marine fuel, with the goal of decarbonization, can instead create entirely new problems. This is shown in a study where researchers carried out life cycle analyses for batteries and for three electrofuels including ammonia. Eutrophication and acidification are some of the environmental problems that can be traced to the use of ammonia -- as well as emissions of laughing gas, which is a very potent greenhouse gas.

     (via sciencedaily.com)     Original source 

Scientists have developed a new approach to machine learning -- a form of artificial intelligence -- to identify drugs that help minimize harmful scarring after a heart attack or other injuries.

     (via sciencedaily.com)     Original source 

The springtime emergence of vast swarms of cicadas can be explained by a mathematical model of collective decision-making with similarities to models describing stock market crashes.

     (via sciencedaily.com)     Original source 

For decades scientists have been trying to solve Feynman's Sprinkler Problem: How does a sprinkler running in reverse work? Through a series of experiments, a team of mathematicians has figured out how flowing fluids exert forces and move structures, thereby revealing the answer to this long-standing mystery.

     (via sciencedaily.com)     Original source 

The branch of mathematics known as topology has become a cornerstone of modern physics thanks to the remarkable -- and above all reliable -- properties it can impart to a material or system. Unfortunately, identifying topological systems, or even designing new ones, is generally a tedious process that requires exactly matching the physical system to a mathematical model. Researchers have demonstrated a model-free method for identifying topology, enabling the discovery of new topological materials using a purely experimental approach.

     (via sciencedaily.com)     Original source 

Emerging research suggests it may be easier to use fusion as a power source if liquid lithium is applied to the internal walls of the device housing the plasma. Past experiments studied solid lithium coatings and found they could enhance a plasma. The researchers were pleased they could yield similar results with liquid lithium, as it's better suited for use in a large-scale tokamak.

     (via sciencedaily.com)     Original source 

A new advancement in theoretical physics could, one day, help engineers develop new kinds of computer chips that might store information for longer in very small objects.