Article Highlights
Updates every hour. Last Updated: 17-May-2026 03:15 ET (17-May-2026 07:15 GMT/UTC)
Machine learning unlocks smarter design of engineered hydrochar for carbon storage and nutrient recovery
Biochar Editorial Office, Shenyang Agricultural University- Journal
- Biochar
Artificial intelligence unlocks new potential for biochar in carbon capture and climate solutions
Biochar Editorial Office, Shenyang Agricultural University- Journal
- Biochar
Biochar offers a low-carbon pathway for stronger and more sustainable concrete
Biochar Editorial Office, Shenyang Agricultural University- Journal
- Biochar
Biochar boosts 3D printing performance while improving sustainability
Biochar Editorial Office, Shenyang Agricultural University- Journal
- Biochar
SwRI harnesses AI to find meaningful matches in solar data
Southwest Research InstituteSAN ANTONIO — April 14, 2026 — New research led by Southwest Research Institute (SwRI) integrated three types of machine learning models to generate solar magnetic patches with physical properties and used those as a query to find matching patches in real observations. This elevates generative artificial intelligence (AI) from a means to produce artificial data to a novel tool for scientific data interrogation, supporting applicability beyond the heliophysics domain.
- Journal
- The Astrophysical Journal Supplement Series
Bridges, roadways threatened by changes in weather patterns
University of British Columbia Okanagan campusThe combination of extreme weather conditions, like atmospheric rivers, and aging infrastructure is putting increasing pressures on Canadian highways, bridges and tunnels—many of which are almost 100 years old.
UBC Okanagan researchers caution that these systems are facing hazards they weren’t considered in their original design, and this increases their vulnerability to failure. This growing strain is putting significant pressure on local governments, which must secure funding to upgrade and maintain these critical transportation networks, says UBC Okanagan School of Engineering postdoctoral researcher Dr. Alaa Al Hawarneh.
- Journal
- Automation in Construction
UH engineers offer roadmap to close the “human error” gap in offshore crane safety
University of Houston- Journal
- IISE Transactions on Occupational Ergonomics and Human Factors