이 에피소드에 관해
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.
영어
미국
전사 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
이 팟캐스트의 다른 에피소드
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 in…
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 insights …
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 leading…
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-day…
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 iriweb에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
