<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Isayev Lab News</title><description>Updates from the Isayev Lab at Carnegie Mellon University - research highlights, publication announcements, and software releases.</description><link>https://olexandrisayev.com/</link><language>en-us</language><managingEditor>olexandr@cmu.edu (Olexandr Isayev)</managingEditor><webMaster>olexandr@cmu.edu (Olexandr Isayev)</webMaster><copyright>Copyright 2026 Olexandr Isayev</copyright><category>Science</category><category>Chemistry</category><category>Machine Learning</category><item><title>AIMNetCentral: Fast Machine-Learned Potentials for Molecular Dynamics</title><link>https://olexandrisayev.com/news/aimnetcentral-release/</link><guid isPermaLink="true">https://olexandrisayev.com/news/aimnetcentral-release/</guid><description>Introducing AIMNetCentral, our streamlined Python package for deploying AIMNet2 neural network potentials in molecular dynamics simulations with ASE and PySisyphus integration.</description><pubDate>Fri, 14 Nov 2025 00:00:00 GMT</pubDate><category>software</category><category>AIMNet2</category><category>software</category><category>molecular-dynamics</category><category>neural-network-potentials</category><category>ASE</category><author>Olexandr Isayev</author></item><item><title>AQuaRef: Machine Learning Accelerated Quantum Refinement of Protein Structures</title><link>https://olexandrisayev.com/news/aquaref-nature-comms/</link><guid isPermaLink="true">https://olexandrisayev.com/news/aquaref-nature-comms/</guid><description>Our collaborative work on AQuaRef is now published in Nature Communications. This AI-enabled quantum refinement method leverages AIMNet2 to achieve unprecedented accuracy in protein structure determination from cryo-EM and X-ray crystallography data.</description><pubDate>Thu, 16 Oct 2025 00:00:00 GMT</pubDate><category>publication</category><category>AQuaRef</category><category>protein-structure</category><category>quantum-refinement</category><category>AIMNet2</category><category>cryo-EM</category><category>X-ray-crystallography</category><category>Nature Communications</category><author>Olexandr Isayev</author></item><item><title>AIMNet2: A Neural Network Potential for Neutral, Charged, and Element-Organic Molecules</title><link>https://olexandrisayev.com/news/aimnet2-chemical-science/</link><guid isPermaLink="true">https://olexandrisayev.com/news/aimnet2-chemical-science/</guid><description>Our AIMNet2 paper is now published in Chemical Science, introducing a transferable neural network potential trained on 20 million DFT calculations that covers 14 chemical elements.</description><pubDate>Tue, 29 Apr 2025 00:00:00 GMT</pubDate><category>publication</category><category>AIMNet2</category><category>neural-network-potentials</category><category>machine-learning</category><category>computational-chemistry</category><category>Chemical Science</category><author>Olexandr Isayev</author></item><item><title>Welcome to the Isayev Lab News</title><link>https://olexandrisayev.com/news/welcome-to-lab-news/</link><guid isPermaLink="true">https://olexandrisayev.com/news/welcome-to-lab-news/</guid><description>Introducing our new lab news section where we share research updates, publication announcements, software releases, and developments from our group at Carnegie Mellon University.</description><pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate><category>announcement</category><category>lab-news</category><category>welcome</category><author>Olexandr Isayev</author></item></channel></rss>