Post by Innovation Research Interchange

The chemical industry is under growing pressure to innovate faster while meeting rising expectations for sustainability, transparency, and regulatory compliance. Join IRI on July 23 for a virtual webinar on how physics-powered AI and predictive modeling can accelerate sustainable chemical innovation. This session will explore how “predict-first” digital chemistry platforms help R&D teams evaluate complex chemical systems before physical samples are synthesized, reducing risk and improving R&D velocity. Speakers Jeffrey Sanders and Michael Rauch of Schrödinger will share how physics-based simulations and machine learning can support the development of more sustainable materials, ingredients, and chemical solutions. Register here: https://lnkd.in/etyc4CwH