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

The fields of sustainable chemistry and engineering address the dual challenge of maintaining chemical innovation while meeting global sustainability ...

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

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

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 ...

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

Detailed price information for Telescope Innovations Cp (TELIF) from The Globe and Mail including charting and trades.

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

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

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

New process balances features to reduce tooling complexity, compresses timelines via concurrent part and tooling design, ...

A new AI-ready data framework could accelerate catalyst discovery, supporting cleaner energy and more sustainable chemical processes.