Matter and energy from Science Daily Feed

Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of most human readers.

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.

Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists have now created a type of neural network that works not with electricity but with so-called active colloidal particles.The researchers describe how these microparticles can be used as a physical system for artificial intelligence and the prediction of time series.

Scientists have harnessed the power of specially made nanostructures to enhance the neural response in a locust's brain to specific odors and to improve their identification of those odors.

Scientists undertook a study of dragonfly wings in order to better understand the relationship between a corrugated wing structure and vortex motions. They discovered that corrugated wings exhibit larger lift than flat wings.

A new study found that graphene derived from metallurgical coke, a coal-based product, through flash Joule heating could serve not only as a reinforcing additive in cement but also as a replacement for sand in concrete.

Physicists propose a novel way to create photoconductive circuits, where the circuit is directly patterned onto a glass surface with femtosecond laser light. The new technology may one day be useful for harvesting energy, while remaining transparent to light and using a single material.

Compared to robots, human bodies are flexible, capable of fine movements, and can convert energy efficiently into movement. Drawing inspiration from human gait, researchers from Japan crafted a two-legged biohybrid robot by combining muscle tissues and artificial materials. This method allows the robot to walk and pivot.

Scientists have long strived to develop artificial molecular motors that can convert energy into directed motion. Researchers have now presented a solution to a challenging problem: how motion can be transferred in a controlled manner from one place to another through a 'molecular gear'. Molecular motors have the potential for use in, for example, energy storage applications and medicine.

Lithium-ion batteries face safety concerns as a result of internal separator issues which often lead to short circuits. Scientists have now developed a method to improve the stability and properties of separators with a layer of silicon dioxide and other functional molecules. Batteries employing these separators demonstrated improved performance and reduced growth of disruptive root-like structures, paving the way for high-safety batteries that can aid the adoption of electric vehicles and advanced energy storage systems.

Perchlorate compounds are known for their explosive nature. To understand what makes these compounds so explosive, a team of researchers developed a novel deep learning-based method that analyses their crystal structure and molecular interactions to elucidate their physical properties. This novel technique avoids dangerous laboratory-based experiments and uses data to study the nature of compounds. Overall, the study marks a significant step towards data-driven and artificial intelligence-based methods for chemical research.

A new commentary highlights that switching the focus from how energy is supplied to how energy is consumed can be a more effective approach to reducing carbon emissions with the added benefit of improving wellbeing for all.

Researchers were able to control the growth of thin, branching networks that support cellular structure and help cells function. The networks, called microtubules, can exert force and precisely transport chemicals at a subcellular level.

Instead of tubular commercial aircraft, other designs could be used in the future: Jets with a blended wing body would fly more efficiently and make less noise -- but how would the noise emissions from these new types of aircraft affect people?

Chemists have developed an autonomous chemical synthesis robot with an integrated AI-driven machine learning unit. Dubbed 'RoboChem', the benchtop device can outperform a human chemist in terms of speed and accuracy while also displaying a high level of ingenuity. As the first of its kind, it could significantly accelerate chemical discovery of molecules for pharmaceutical and many other applications.

A newly evolved enzyme could one day make silicone compounds biodegradable.

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.

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.

Certain materials have desirable properties that are hidden and scientists can use light to uncover these properties. Researchers have used an advanced optical technique, based on terahertz time-domain spectroscopy, to learn more about a quantum material called Ta2NiSe5 (TNS).

Researchers have made a pivotal discovery in the field of cellular microscopy. The team has successfully developed Two-Color Infrared Photothermal Microscopy (2C-IPM), a novel technology designed to investigate neutral lipids within lipid droplets of living cells. This new microscopy can be used with isotope labeling, which allows for the detailed monitoring of neutral lipid synthesis within individual lipid droplets.