Close
Recent research combines neural networks with mathematical insights to address complex challenges in quantum chemistry. This innovative approach enables accurate modeling of excited states in molecules, which is crucial for understanding their behavior under various energy conditions. The findings could revolutionize material prototyping and chemical synthesis through advanced computer simulations.
The study, led by scientists from Imperial College London and Google DeepMind, highlights the difficulties in modeling quantum systems due to the probabilistic nature of electron configurations. By utilizing a neural network called FermiNet, the researchers achieved unprecedented accuracy in energy calculations for complex molecules. The open-source nature of this work invites further exploration and development within the scientific community.
Phys.org on MSN.com 10month
Phys.org on MSN.com 10month
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
How to level up your teaching with AI. Discover how to use clones and GPTs in your classroom—personalized AI teaching is the future.
Trump's Third Term? AI already knows how this can be done. A study shows how OpenAI, Grok, DeepSeek & Google outline ways to dismantle U.S. democracy.
Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
Log in
Sign Up
AI Tools - Popular
AI Tools - Categories
GPTs - Categories
AI for Jobs
