Join us for an insightful webinar where we delve into the transformative potential of cloud computing in the realm of computational chemistry. Led by experts from the Department of Energy’s Pacific Northwest National Laboratory (PNNL) and Microsoft, this session will explore the groundbreaking initiative, Transferring Exascale Computational Chemistry to Cloud Computing Environment and Emerging Hardware Technologies (TEC4).
Discover how this innovative approach is democratizing access to powerful computing resources, accelerating scientific discovery, and addressing urgent energy needs. Learn about the latest advancements in porting computational chemistry codes to the cloud, the roadmap to moving scientific resources into an adaptable, sustainable ecosystem, and real-world applications including how computational chemistry can be used to design real-world strategies in environmental remediation.
Key Learning Objectives:
- The TEC4 Initiative: Gain insights into the goals, structure, and achievements of the TEC4 initiative, including its impact on the computational chemistry community.
- Cloud Computing Applications: Learn how cloud computing is being utilized to complement traditional on-prem high-performance computing, providing agile and scalable solutions for complex scientific problems.
- Performance and Efficiency: Explore how the speed and agility of cloud computing opens doors to completing advanced computational chemistry workflows in days instead of months.
- Real-World Case Studies: Review case studies demonstrating the application of cloud-based computational chemistry in solving real-world problems, such as environmental remediation of persistent pollutants.
- Future Directions and Collaboration: Discover the future directions of cloud computing in computational chemistry, including opportunities for collaboration, community building, and training the next generation of computational chemists.
Who Should Attend:
- Computational chemists and materials scientists who utilize high-performance computing and/or cloud computing resources to solve complex scientific problems.
- Chemical engineers and materials research engineers, cheminformatics specialists, and research scientists interested in accelerating workflows and processes with AI and HPC.
- R&D leaders looking to enhance research capabilities with the latest technological advancements.