Twisting quantum potential into reality
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Jun-2026 21:16 ET (22-Jun-2026 01:16 GMT/UTC)
MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal alloys and other complex materials will behave.
A Researcher team at the Korea Institute of Geoscience and Mineral Resources (KIGAM) has developed a technology that converts wet spent coffee grounds directly into high-quality biochar in just 90 seconds, no drying or oil removal required. The breakthrough offers a fast, energy-efficient path to turning high-moisture organic waste into valuable fuel and carbon materials.
The study, led by Dr. Taejun Park in collaboration with GodTech Co., Ltd., was published in the Chemical Engineering Journal (Elsevier), one of the world's leading journals in chemical engineering.
Researchers from Tongji University present a comprehensive review of emerging optical techniques for sorting and detecting chiral particles. The review highlights advances in engineered light fields, nanophotonic platforms, and artificial intelligence that enhance the sensitivity, selectivity, and efficiency of chiral analysis. By comparing optical sorting and detection strategies across diverse platforms, the work outlines current challenges and future directions, providing a valuable roadmap for developing practical, high-performance optical technologies for chemistry, biomedicine, and materials science.
Oil crops cause a loss of around 1.5 percent of animal and plant species. This is the conclusion of a new study. According to the study, the biodiversity loss caused by oil crops has increased by around 80 percent since 1995. The key driver is per-capita consumption and not global population growth.
Professor Min-Soo Kim’s research team in the School of Computing and GraphAI Co., Ltd. develop “AkasicDB,” which integrates vector, graph, and relational databases into a single system
Expected to serve as core AI data infrastructure across industries such as finance, law, and manufacturing, improving enterprise AI agent accuracy by up to 78% and processing speed by up to 20 times