Carbon dioxide (CO2) is a primary driver of climate change in Earth's atmosphere. At the State University of New York at ...

By combining high-tech chemical scanning tech with advanced machine learning, the system can detect the adulteration of food ...

The U.S. AI in Chemicals Market is Expected to Reach $6.98 Billion by 2035, While Europe is Projected to Touch $5.89 Billion, Driven by AI-Powered Production Optimization, Sustainable Chemical ...

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Artificial intelligence is rapidly changing how scientists search for new catalysts—the materials that speed up chemical ...

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

The Company will use the conference to advance commercial discussions around Self-Driving Labs, automated sampling systems, ...

IIT Mandi has introduced three new undergraduate programmes: B.Tech in Quantum Science and Engineering, B.Tech in Agricultural Engineering with Data Analytics, and B.Tech in Chemical Engineering with ...

For decades, scientists trying to build better catalysts have relied on a single guiding principle: there is one sweet spot, ...