Jan
11

ACMD 2025: Empowering Innovation in Computational Materials Science

From January 9–11, 2025, the Asia Computational Materials Design (ACMD) Workshop 2025 brought together researchers, students, and professionals at VinUniversity in Hanoi for three days of exploration at the intersection of quantum simulation, machine learning, and computational materials design.

The workshop created a dynamic learning environment where participants could engage with both the theoretical foundations and practical tools shaping the future of materials science. Leading experts delivered insightful talks on advances in quantum simulations and electronic structure calculations, which are areas that are rapidly transforming how scientists design and understand new materials.

A key highlight of ACMD 2025 was its hands-on training sessions. Participants had the opportunity to work directly with quantum simulation tools developed by researchers at Osaka University using server supported by Phenikaa University, gaining practical experience that complemented the workshop’s lectures. These sessions allowed attendees to deepen their technical skills while exploring how computational methods can accelerate discovery in materials research.

Beyond the technical program, the workshop also served as a valuable platform for building connections across the region. Participants from different institutions and backgrounds exchanged ideas, discussed research challenges, and began forming new collaborations in the growing field of computational materials science. For many early-career researchers and students, the opportunity to engage directly with experts and peers proved to be one of the most rewarding aspects of the event.

The success of ACMD 2025 was made possible through the close collaboration of its organizing partners, including Osaka University and Phenikaa University. Their joint efforts helped create a memorable event that not only shared cutting-edge knowledge but also strengthened the regional community working at the frontier of computational materials design.