Accelerating Materials Discovery with HPC and AI

DATE

March 27, 2024

TIME

8:00 a.m. PDT / 11:00 a.m. EDT / 15:00 GMT / 16:00 CET - Duration: 60 Minutes

Overview

With a new generation of cloud HPC and AI tools, computational chemistry and materials science is scaling and accelerating R&D efforts that could address some of our world’s toughest challenges. While there are few concrete examples of computational discoveries that have been validated experimentally, a shift is finally starting to take place.

In this special session, Microsoft will share some of its latest updates, including how a collaboration with Pacific Northwest National Laboratory is demonstrating methods to accelerate scientific discovery for energy storage solutions. Together, the teams have been able to discover and synthesize a material that shows potential for resource-efficient batteries in less than nine months. We will explore how advancements in HPC and AI are accelerating the next frontier of scientific breakthroughs, in turn compressing the next 250 years of chemistry into the next 25.

Key Learning Objectives:

Learn how cloud-based high-performance computing and artificial intelligence can scale and accelerate discovery in materials science.
Explore one of Microsoft’s latest computational discoveries that was accelerated using Azure Quantum Elements.
Find out how Microsoft collaborated with Pacific Northwest National Laboratory to discover and synthesize a material to advance sustainable energy-storage solutions.
Discover how industry innovators adopted Azure Quantum Elements to transform their research and development.

Who Should Attend:

Computational Materials Scientists
R&D Leaders
Computational Chemists
Digitization Managers
C-suite

Brought to you by:

Speakers

Dr. Nathan Baker
Azure Quantum Elements Product Leader,
Microsoft

Melissa O'Meara
Forensic Science Consultant,
C&EN Media Group

Registration

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