Research projects on Yusei Itohttps://yusei-ito.github.io/bio/research/Recent content in Research projects on Yusei ItoHugo -- 0.128.0enFri, 08 May 2026 00:00:00 +0000Enabling single-observation decomposition of multi-phase X-ray diffraction patterns via generative deep learninghttps://yusei-ito.github.io/bio/research/phasedifformer/Fri, 08 May 2026 00:00:00 +0000https://yusei-ito.github.io/bio/research/phasedifformer/This paper proposes multi-phase pattern decomposition method for X-ray diffraction measurement by using generative deep learning. Published in npj computational materials, 2026.Optimal spectroscopic measurement design: Bayesian framework for rational data acquisitionhttps://yusei-ito.github.io/bio/research/experimentaldesign/Fri, 16 May 2025 00:00:00 +0000https://yusei-ito.github.io/bio/research/experimentaldesign/This paper proposes optimal experimental design method for spectroscopy measurement by using Bayesian framework. Published in Machine Learning: Science and Technology, 2025.Rethinking the role of frames for SE(3)-invariant crystal structure modelinghttps://yusei-ito.github.io/bio/research/crystalframer/Thu, 24 Apr 2025 00:00:00 +0000https://yusei-ito.github.io/bio/research/crystalframer/This paper proposes dynamic atom-wise frames aligned with attention-based interatomic interactions on the structure, rather than with the structure itself. Published in ICLR 2025.Rational partitioning of spectral feature space for effective clustering of massive spectral image datahttps://yusei-ito.github.io/bio/research/clustering/Sun, 29 Sep 2024 00:00:00 +0000https://yusei-ito.github.io/bio/research/clustering/This paper proposes new clustering method for massive spectral image data. Published in Scientific Reports, 2024.