MENGENAI EPISOD INI
This webinar explored how physics-based simulations and machine learning are helping chemical companies accelerate sustainable innovation while reducing development risk. Attendees learned how a "predict-first" digital chemistry approach can evaluate properties such as solubility, stability, and material compatibility before physical testing begins. The session also highlighted real-world applications of AI-powered modeling and demonstrated how these tools can help organizations speed product development, address complex R&D challenges, and adapt to evolving regulatory and sustainability demands.
Bahasa Inggeris
Amerika Syarikat
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EPISOD LAIN DALAM PODCAST INI
Join IRI for a conversation with Eva Tuecke as she reflects on her path from physics research at Fermilab to SpaceX and the startup world, and the experiences that have shaped her perspective on scientific discovery and innovation. Drawing on lessons from across her career, Eva will share insigh ...
Join us for a conversation with Duane Morris partners Brian Pandya and Dan Tarr on how the rise of AI is reshaping patent strategy. We’ll cover what the USPTO is saying today, when (and whether) AI use should be disclosed, how AI impacts inventorship and obviousness, and the practical risks—from ...
A central question confronting many innovation leaders today is how R&D systems that are optimized for today’s demands could also explore tomorrow’s opportunities. These opportunities offer significant potential but carry higher risk and must compete with the immediate demands of the day-to- ...
Dr. T. Edwin Freeman, recipient of the 2026 Innovation Research Interchange Innovation Leadership Award, has transformed sustainable packaging through advanced materials science, fiber-based alternatives, and systems thinking. From early experiments on his father’s rubber farm in Liberia to lead ...
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