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Breaking bonds, breaking ground: Advancing the accuracy of computational chemistry with deep learning
| Rianne van den Berg, Jan Hermann, Christopher Bishop, and Paola Gori Giorgi
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more.
Scientific research is a continuous journey fueled by curiosity and collaboration, a conversation between scientists that often crosses continents and spans decades, with each new discovery inspired by and expanding on the work of others. The story of density functional…
Abstracts: Aurora with Megan Stanley and Wessel Bruinsma
| Amber Tingle, Megan Stanley, and Wessel Bruinsma
A new Nature paper explores Aurora, an AI model that redefines weather prediction with application to other environmental domains such as tropical cyclones. Hear from senior researchers Megan Stanley and Wessel Bruinsma as they share their groundbreaking work.
Abstracts: Heat Transfer and Deep Learning with Hongxia Hao and Bing Lv
| Gretchen Huizinga, Hongxia Hao, and Bing Lv
Silicon has long borne the burden of heat transfer in electronics, but in a post-Moore’s Law world, researchers like Hongxia Hao and Bing Lv are using AI to discover and design next-generation materials that exceed the limits of silicon’s thermal…
Microsoft Fusion Summit explores how AI can accelerate fusion research
| Kenji Takeda, Shruti Rajurkar, and Ade Famoti
The first Microsoft Research Fusion Summit brought together global experts to explore how AI can help unlock the potential of fusion energy. Discover how collaborations with leading institutions can help speed progress toward clean, scalable energy.
Ideas: Accelerating Foundation Models Research: AI for all
| Gretchen Huizinga, Evelyne Viegas, Muhammed Idris, and Cesar Torres Jr.
Innovative AI research often depends on access to resources. Microsoft wants to help. Technical Advisor Evelyne Viegas and distinguished faculty from two Minority Serving Institutions discuss the benefits of Microsoft’s Accelerating Foundation Models Research program in their lives and research.
In the news | The Deep View: Conversations
Director of Microsoft Research talks AI for Science – Chris Bishop
I sat down with Dr. Chris Bishop, a Microsoft technical fellow and the director of Microsoft Research AI for Science, to sink into the details of what AI is actually unlocking for science, and what kind of AI is doing…
Marwin Segler addresses chemical synthesis in drug discovery with a learning-to-rank framework that integrates AI-based models, significantly boosting prediction accuracy and preferred by chemists.
Exploring the structural changes driving protein function with BioEmu-1
| Sarah Lewis, Tim Hempel, Jose Jimenez-Luna, Michael Gastegger, Yu Xie, Victor García Satorras, Osama Abdin, Bas Veeling, Ryota Tomioka, and Frank Noé
Meet BioEmu-1 from Microsoft Research. This deep learning model can generate thousands of protein structures per hour, unlocking new possibilities for protein scientists and drug discovery and research.