Presented at the 87th Autumn Meeting of the Japan Society of Applied Physics

Matlantis Corporation will present research findings at the 87th Autumn Meeting of the Japan Society of Applied Physics, which will be held from September 8th (Tue) to 11th (Fri), 2026, at Hokkaido University Sapporo Campus and online.

This conference is one of the largest academic conferences in Japan, bringing together researchers from a wide range of fields, including physics, materials, devices, processes, and informatics.

In this presentation, we report on the crystal structure exploration of quasi-two-dimensional oxides using a general-purpose machine learning potential. Using TiO₂ as an example, this research proposes a new approach to structure exploration for quasi-two-dimensional oxides, which have been limited in scope by conventional synthesis methods.

We would like to share an announcement from Matlantis.

[Matlantis Announcement]

■ Exploration of quasi-two-dimensional oxide crystal structures using universal machine learning potentials

Date and time: Tuesday, September 8, 2026, 9:15-9:30
Venue: A13 (Information Research Building)
Session: 6.3 Oxide Electronics
Presenter: Yuta Aoki (Matlantis Corporation)

The synthesis methods for quasi-two-dimensional transition metal oxides have conventionally been limited to systems with layered parent structures. In this study, using TiO₂ as an example, we propose a method for exploring quasi-two-dimensional structures with controlled thickness while maintaining composition by cutting thin films of a few atomic layers from titanium suboxide TiₙO₂ₙ₋₁.

Using a universal machine learning potential, we discovered multiple stable structures free of imaginary vibrations. This method has the potential to be widely applied to a range of other suboxide systems.

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I look forward to discussing this with you all at the venue on the day.