विज्ञान समाचार

Researchers have unveiled an innovative approach to create flexible organic integrated circuits (ICs) devoid of parasitic capacitance. This advancement heralds a substantial enhancement in the dynamic performance and operating frequency of organic thin-film transistors (OTFTs) and rectifying diodes, charting a course toward the realization of high-performance, cost-effective, and energy-efficient flexible electronics.

Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal solution to complex problems. These problems are usually very computationally intensive using classical computers and thus solving COPs using quantum computers has attracted significant attention from both academia and industry.

Bushfires can move at astonishing speeds. The land, amount of vegetation, and the weather all have a big impact on how a fire spreads. Staying one step ahead is no easy task, but our bushfire researchers are working on it.

To meet the growing demand of the electronics industry and support the widespread deployment of electric vehicles, researchers will need to develop increasingly advanced and highly performing battery technologies. A promising approach for boosting the performance of lithium-ion batteries (LiBs) entails the use of nickel (Ni)-rich layered oxides as cathode materials.

Proton exchange membrane fuel cells (PEMFCs) stand at the forefront of clean energy solutions for vehicles, promising zero emissions, high efficiency, and minimal noise. Despite these advantages, the path to widespread adoption is obstructed by significant durability and lifespan challenges. These obstacles are primarily due to the fuel cells' vulnerability under the variable and often harsh conditions of automotive operation.

Large language models, such as those that power popular artificial intelligence chatbots like ChatGPT, are incredibly complex. Even though these models are being used as tools in many areas, such as customer support, code generation, and language translation, scientists still don't fully grasp how they work.

A commonplace chemical used in water treatment facilities has been repurposed for large-scale energy storage in a new battery design by researchers at the Department of Energy's Pacific Northwest National Laboratory. The design provides a pathway to a safe, economical, water-based, flow battery made with Earth-abundant materials. It provides another pathway in the quest to incorporate intermittent energy sources such as wind and solar energy into the nation's electric grid.

Though geothermal represents only a tiny fraction of current US energy production, several businesses and President Joe Biden's administration are betting on technological advances to make it a backbone of the green transition.

As March's full Worm Moon rises late Sunday into early Monday, it will travel through the Earth's penumbra — the faint outer part of its shadow — creating a penumbral eclipse.

Sander van der Linden of Cambridge University's Social Decision-Making Lab showed Lesley Stahl videos and video games that teach people how to identify common manipulation tactics and prevent themselves from getting duped.

Netflix’s new adaptation of Liu Cixin’s famous sci-fi series shows us what quantum mechanics might look like in real time.

Water is needed for development, production and consumption, yet we are overusing and polluting an unsubstitutable resource and system.

Leading computer scientists from around the world have shared their vision for the future of artificial intelligence—and it resembles the capabilities of Star Trek character "The Borg."

Researchers at Chalmers University of Technology in Sweden have developed an environmentally friendly method for recycling and purifying metals. Using gold earrings from a pawnshop in Gothenburg and biodiesel from the nearest filling station, the discovery could change an industry that is currently dependent on large amounts of fossil oil.

The last time you dropped a favorite mug or sat on your glasses, you may have been too preoccupied to take much notice of the intricate pattern of cracks that appeared in the broken object. But capturing the formation of such patterns is the specialty of John Kolinski and his team at the Laboratory of Engineering Mechanics of Soft Interfaces (EMSI) in EPFL's School of Engineering.

When Zach Post was approached about leading a study to develop a framework for additively manufacturing (colloquially called 3D printing) a new space instrument for detecting air pollution, it was an opportunity he couldn't pass up.

In recent strides within machine learning technology, particularly in reservoir computing (RC), notable advancements have been made in understanding complex systems across various domains. Researchers have been tirelessly innovating machine learning methods to analyze and forecast the dynamic behaviors of intricate systems using observed time series data. However, a pressing challenge persists: how to uphold a lightweight model while harnessing more structural information to achieve precise predictions of complex dynamics.

Some say there are two types of concrete—cracked and on the brink of cracking. But what if when concrete cracked, it could heal itself?

A research team led by the Agency for Science, Technology and Research (A*STAR) in partnership with National University of Singapore (NUS) has created an innovative microelectronic device that can potentially function as a sustainable, high-performance "bit-switch." This paves the way for future computing technologies to process data much faster while using significantly less energy.

Or could there be unintended consequences?