AI for
Accelerated Materials Design
NeurIPS '23 Workshop
About the Workshop
The AI for Accelerated Materials Discovery (AI4Mat) Workshop 2023 provides an inclusive and collaborative platform where AI researchers and material scientists converge to tackle the cutting-edge challenges in AI-driven materials discovery and development. Our goal is to foster a vibrant exchange of ideas, breaking down barriers between disciplines and encouraging insightful discussions among experts from diverse disciplines and curious newcomers to the field. The workshop embraces a broad definition of materials design encompassing matter in various forms, such as crystalline and amorphous solid-state materials, glasses, molecules, nanomaterials, and devices. By taking a comprehensive look at automated materials discovery spanning AI-guided design, synthesis and automated material characterization, we hope to create an opportunity for deep, thoughtful discussion among researchers working on these interdisciplinary topics, and highlight ongoing challenges in the field.
Covering materials such as :
AI-infused automation of materials design for real-world applications has the potential to significantly impact complex societal challenges of the 21st century, including climate change, healthcare, drug development, sustainable agriculture, infrastructure, and universal access to computational resources, to name a few. The immense complexity and impact of new materials discovery across a wide range of technologies motivates the need to study the opportunity for the application of advanced AI techniques along the entire cycle of materials discovery and development. Driven by breakthroughs in advanced AI algorithms, including generative AI methods based on large language models, recent years have seen an exponential uptick in the number of scientific papers published on the broad themes of ‘Materials Informatics’ and ‘AI in Materials Discovery’ as shown below:
AI-enabled materials discovery is being increasingly driven by a global and interdisciplinary research community whose joint contributions are bringing materials innovation closer to real-world impact. Inspired by these trends, we aim to focus the workshop on two major themes this year:
Sim2Mat: Bringing New Materials into the Real World with AI: AI4Mat-23 will feature several high profile speakers and a lightning talk panel focusing on greater infusion of AI into powerful experimental techniques to develop new materials with real-world impact.
The Emerging Role of LLMs in Materials Design: The strong advances in LLMs have prompted many questions about their capabilities and limitations across a wide range of scientific disciplines. To better understand the implications of LLMs for materials design, AI4Mat-23 will have a focused fireside chat discussion with renowned experts in the field.
Workshop Organizers
Santiago Miret
Intel Labs
Marta Skreta
University of Toronto
Benjamin Sanchez-Lengeling
Google Deepmind
Jennifer N. Wei
OpenFold - OMSF
Vineeth Venugopal
MIT
N M Anoop Krishnan
IIT Delhi
Workshop Advisors
Alán Aspuru-Guzik
University of Toronto
Contributing Organizations
Contact
Email: ai4mat-neurips@googlegroups.com