ニュース&特集
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, と 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.
MatterGen: A new paradigm of materials design with generative AI
| Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Ryota Tomioka, と Tian Xie
Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments.
MatterGen: Property-guided materials design
| Andrew Fowler, Matthew Horton, Ryota Tomioka, Robert Pinsler, Tian Xie, Claudio Zeni, と Daniel Zügner
The central problem in materials science is to discover materials with desired properties. MatterGen enables broad property-guided materials design.