Tech & Engineering
Updates every hour. Last Updated: 21-Jun-2025 17:10 ET (21-Jun-2025 21:10 GMT/UTC)
Finding better photovoltaic materials faster with AI
Karlsruher Institut für Technologie (KIT)Peer-Reviewed Publication
Perovskite solar cells are a flexible and sustainable alternative to conventional silicon-based solar cells. Researchers at the Karlsruhe Institute of Technology (KIT) are part of an international team that was able to find – within only a few weeks – new organic molecules that increase the efficiency of perovskite solar cells. The team used a clever combination of artificial intelligence (AI) and automated high-throughput synthesis. Their strategy can also be applied to other areas of materials research, such as the search for new battery materials. The researchers report their findings in Science (DOI: 10.1126/science.ads0901).
- Journal
- Science
Innovative technology transforms discarded face masks into valuable products
Higher Education PressPeer-Reviewed Publication
- Journal
- Engineering
From root to shoot: How silicon powers plant resilience
Okayama UniversityPeer-Reviewed Publication
A breakthrough study reveals that the Shoot-Silicon-Signal (SSS) protein plays a crucial role in managing silicon uptake and distribution in rice and other grasses. This study sheds light on how SSS helps plants adapt to environmental stresses. Understanding the role of silicon could provide valuable information on crop resilience and solutions to enhance agricultural productivity and sustainability, especially in the face of climate change.
- Journal
- Nature Communications
- Funder
- Takeda Science Foundation to NY, Ohara Syonokai Foundation to NY and TS, Japan Society for the Promotion of Science (JSPS) (KAKENHI grant)
Hydraulic energy transformation: A new hope for water treatment challenges
Higher Education PressPeer-Reviewed Publication
- Journal
- Engineering
Empowering numerical weather predictions with drones as meteorological tools
Research Organization of Information and SystemsPeer-Reviewed Publication
- Journal
- Journal of Geophysical Research Atmospheres
- Funder
- Arctic Challenge for Sustainability II project, Japan
Seoultech researchers use machine learning to ensure safe structural design
Seoul National University of Science & TechnologyPeer-Reviewed Publication
In modern construction, concrete-filled steel tube columns strengthened with carbon fiber-reinforced polymers are emerging as a key solution for creating resilient infrastructure. Now, researchers from Korea have developed a hybrid machine learning model that uses generative artificial intelligence to predict the strength of these columns. This model markedly improves accuracy, offering safer design options and reliable performance even with limited experimental data.
- Journal
- Expert Systems with Applications