Dr. Martin Hoffmann Petersen, Editorial Board Member of IJAMD, had a productive autumn conference season, presenting his research at two international meetings in Korea and Japan.

In September, Dr. Petersen presented a contributed talk at the AI4Sci conference in Korea, where his work “Importance of Configurational Charge Ordering for Machine Learning Interatomic Potentials” received the Best Paper Award. The work shows how the arrangement of charges across disordered sites shapes the accuracy of machine learning interatomic potentials (MLIPs), and why configurational charge ordering should be considered when building training data and models for disordered materials. 

In October, Dr. Petersen gave an invited talk at the Global KU–ASEAN Battery Innovation Forum 2026 in Kyoto, Japan, on the generation and investigation of site-disordered sodium-ion cathode materials. He presented how generative models for crystal structures, machine learning interatomic potentials, and high-throughput DFT can be combined to explore disordered polyanionic cathodes, and how site disorder can be used to improve battery performance.