Science, Code and Sustainability Leveraging Technology to Build a Better Future
summary
A chemical company describes concrete wins: an Arduino Mega + turbidity sensor rig cuts a reaction from 60 hours to 5 hours, a cloud HPC migration to Azure shrinks a 2018 three‑month calculation to 2–3 days, and a JM Leo portal with ~100 licenses supports processes that produce ~60 million tonnes/year of methanol using the vendor’s tech. Teams build domain ontologies to stop name collisions (BTC ≠ Bitcoin), flag LLM hallucinations despite Microsoft Quantum Elements training, and use hybrid quantum/classical methods to reduce ~300 variables to ~10.
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chapters (12)
- 0:00🚀 Introduction and Johnson Matthey’s mission on sustainability
- 2:10Safety in the chemical industry: Lessons for tech and AI
- 4:50The challenges of achieving sustainability in chemical production
- 7:00Johnson Matthey’s approach to helping customers meet Net Zero goals
- 9:50How digital tools and web portals are changing the chemical sector
- 12:00Using affordable tech like Arduino to make chemical processes more sustainable
- 15:30The role of AI and data in improving decision-making for sustainability
- 19:00AI and the importance of being cautious with large language models
- 22:00High-performance computing and chemical modeling for sustainable chemistry
- 25:30Quantum computing: The future of chemical modeling and innovation
- 30:10Looking ahead: How sustainability can drive future innovation in chemistry and technology
- 32:00Conclusion: How digital tools and AI are shaping the future of sustainable chemistry
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