Science News

A research team led by Prof. Kwon Hyuk-jun of the DGIST Department of Electrical Engineering and Computer Science has developed a next-generation AI semiconductor technology that mimics the human brain's efficiency in AI and neuromorphic systems.

A research team led by Professor Lee Ju-hyuck of DGIST in the Department of Energy Science & Engineering has successfully developed an energy harvesting device that enhances solar energy efficiency by removing and preventing surface contamination on solar cells.

Researchers have developed a new manufacturing technology that enables the production of high-quality oxide films and effective patterning at low temperatures and manufactured non-volatile resistive random access memory. It is expected to be used in next-generation computing systems by overcoming the shortcomings of existing manufacturing technologies and developing memories with excellent durability.

In lithium-ion storage, microstructured single crystal electrode materials show great advantages for ionic conductivity because of removing grain boundaries inside the materials but usually trade off the diffusion distance of Li ions in the microsized particle, consequently reducing the rate capability and cycle stability.

For traditional semiconductor materials and devices, controlling the distribution of electrical doping to build an internal electric field is a common method to enhance carrier extraction efficiency. Therefore, electrical doping is of great significance for the construction of high-performance devices.

As a green, sustainable, and competitive technology relative to batteries and electrochemical capacitors and featuring a high charge storage capability, the dielectric capacitors excel in low cost, long cycle-life, and a broad operating temperature range, as well as environmental friendliness, high security, and good reliability.

Since it was discovered in the 1980s that learning in the rabbit brain utilizes chaos, this nonlinear and initially value-sensitive dynamical behavior has been increasingly recognized as integral to brain learning.

Anyone who has ever hot-footed it barefoot across the beach on a sunny day walks away with a greater understanding of just how much heat sand can retain. That ability is expected to play a vital role in the future, as technology involving heated sand becomes part of the answer to energy storage needs.

Without a map, it can be just about impossible to know not just where you are, but where you're going, and that's especially true when it comes to materials properties.

A major global catastrophe could disrupt trade in liquid fuels used to sustain industrial agriculture, impacting the food supply of island nations like New Zealand that depend on oil imports.

Researchers at Tohoku University have made a advancement in battery technology by developing a novel cathode material for rechargeable magnesium batteries (RMBs) that enables efficient charging and discharging even at low temperatures. This innovative material, leveraging an enhanced rock-salt structure, promises to usher in a new era of energy storage solutions that are more affordable, safer, and higher in capacity.

Thanks to the low cost of raw materials and long lifespan rendered by their stable structure, iron-based phosphate cathodes are regarded as one of the most promising cathodes for Na-ion batteries (NIBs).

A team of artificial intelligence specialists at Google's DeepMind has developed an AI-based system called SAFE that can be used to fact check the results of LLMs such as ChatGPT. The group has published a paper describing the new AI system and how well it performed on the arXiv preprint server.

A comprehensive analysis of the integration of artificial intelligence in science and research across various countries addresses both the advancements made and the challenges faced in this field.

Recently, the research findings of Professor Xie's group (Huazhong University of Science and Technology) were published in Science Bulletin. This study proposed a simple, efficient, and low-energy chemical leaching strategy, utilizing a lithium extraction solution composed of polycyclic aromatic hydrocarbon reagents and ether solvents to directly extract active lithium from retired batteries.

Artificial intelligence excels at sorting through information and detecting patterns or trends. But these machine learning algorithms need to be trained with large amounts of data first.

With nearly 5 million deaths linked to antibiotic resistance globally every year, new ways to combat resistant bacterial strains are urgently needed.

Generative artificial intelligence (AI) might be best known from text or image-creating applications like ChatGPT or Stable Diffusion. But its usefulness beyond that is being shown in more and more different scientific fields.

A research team led by the School of Engineering of the Hong Kong University of Science and Technology (HKUST) has addressed the long-standing challenge of creating artificial olfactory sensors with arrays of diverse high-performance gas sensors.

Researchers from the University of Potsdam, together with colleagues from other universities, have shown that ion-induced field screening is a dominant factor in the operational stability of perovskite solar cells. Their findings, published in the journal Nature Energy, lay the foundation for new strategies to improve the lifetime of the next-generation solar cells.