MatterGen: A Generative Model for Materials Design

Tian Xie introduces MatterGen, a generative model that creates new inorganic materials based on a broad range of property conditions required by the application, aiming to shift the traditional paradigm of materials design with generative AI.

Microsoft Research Forum, June 4, 2024

Microsoft research copilot experience What is MatterGen, and how did Tian Xie describe its role in materials design?

Séries:: Microsoft Research Forum
Date:: June 4, 2024
Haut-parleurs:: Tian Xie
Affiliation:: Microsoft Research AI for Science

- Tian Xie
  
  Principal Research Manager
Domaine de recherche
- Artificial intelligence
Laboratoire de recherche
- Microsoft Research AI for Science
Événement
- Microsoft Research Forum | Episode 3
Publication
- MatterGen: a generative model for inorganic materials design

Taille: Microsoft Research Forum

Fostering appropriate reliance on AI
September 3, 2024
Speakers:

Mihaela Vorvoreanu
A generative model of biology for in-silico experimentation and discovery
September 3, 2024
Speakers:

Kevin Kaichuang Yang
Project Aurora: The first large-scale foundation model of the atmosphere
September 3, 2024
Speakers:

Megan Stanley
Direct Nash Optimization: Teaching language models to self-improve with general preferences
September 3, 2024
Speakers:

Corby Rosset
Analog optical computing for sustainable AI and beyond
September 3, 2024
Speakers:

Jiaqi Chu,

Francesca Parmigiani
Research Forum 4 | Panel: Beyond Language: The future of multimodal models in healthcare, gaming, and AI
September 3, 2024
Speakers:

John Langford,

Hoifung Poon,

Katja Hofmann

, et. al.
Research Forum 4 | Keynote: Phi-3-Vision: A highly capable and "small" language vision model
September 3, 2024
Speakers:

Jianfeng Gao
AutoGen Update: Complex Tasks and Agents
June 4, 2024
Speakers:

Adam Fourney
MatterGen: A Generative Model for Materials Design
June 4, 2024
Speakers:

Tian Xie
Driving Industry Evolution: Exploring the Impact of Generative AI on Sector Transformation
June 4, 2024
Speakers:

Jiang Bian
Insights into the Challenges and Opportunities of Large Multi-Modal Models for Blind and Low Vision Users: CLIP
June 4, 2024
Speakers:

Daniela Massiceti
Research Forum 3 | Panel: Generative AI for Global Impact: Challenges and Opportunities
June 4, 2024
Speakers:

Jacki O'Neill,

Tanuja Ganu,

Sunayana Sitaram

, et. al.
Research Forum 3 | Keynote: Building Globally Equitable AI
June 4, 2024
Speakers:

Jacki O'Neill
Generative AI and Plural Governance: Mitigating Challenges and Surfacing Opportunities
March 5, 2024
Speakers:

Madeleine Daepp
GigaPath: Foundation Model for Digital Pathology
March 5, 2024
Speakers:

Naoto Usuyama
Getting Modular with Language Models: Building, Reusing a Library of Experts for Task Generalization
March 5, 2024
Speakers:

Alessandro Sordoni
The Metacognitive Demands and Opportunities of Generative AI
March 5, 2024
Speakers:

Lev Tankelevitch
What's new in AutoGen?
March 5, 2024
Speakers:

Chi Wang
Research Forum 2 | Panel Discussion: Transforming the Natural Sciences with AI
March 5, 2024
Speakers:

Bonnie Kruft,

Alex Lu,

Tristan Naumann

, et. al.
Research Forum 2 | Keynote: The Revolution in Scientific Discovery
March 5, 2024
Speakers:

Christopher Bishop
Kahani: Visual Storytelling through Culturally Nuanced Images
January 30, 2024
Speakers:

Sameer Segal
Generative AI meets Structural Biology: Equilibrium Distribution Prediction
January 30, 2024
Speakers:

Shuxin Zheng
Research Forum: Panel Discussion: AI Frontiers
January 30, 2024
Speakers:

Ashley Llorens,

Sébastien Bubeck,

Ahmed Awadallah

, et. al.
Research Forum: Closing Remarks and Announcements
January 30, 2024
Speakers:

Ashley Llorens
Evaluation and Understanding of Foundation Models
January 30, 2024
Speakers:

Besmira Nushi