635 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chuo UniversityJP4 papers
- High Energy Accelerator Research OrganizationJP3 papers
- Ritsumeikan UniversityJP3 papers
- Tamagawa UniversityJP3 papers
- The University of OsakaJP3 papers
- Chiba UniversityJP2 papers
- Institute of Particle and Nuclear Studies2 papers
- Institute of Space and Astronautical ScienceJP2 papers
- Japan Aerospace Exploration AgencyJP2 papers
- Kanazawa UniversityJP2 papers
- Kyoto UniversityJP2 papers
- Nagoya UniversityJP2 papers
6 papers · 1 filter
Crystal Structure Generation Based on Polyhedra using Dual Periodic Graphs
Tomoyasu Yokoyama, Kazuhide Ichikawa, Hisashi Naito
Crystal structure design is important for the discovery of new highly functional materials because crystal structure strongly influences material properties. Crystal structures are…
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura, Masashi Okada, Tadahiro Taniguchi
In this paper, we propose a new self-supervised learning (SSL) method for representations that enable logic operations. Representation learning has been applied to various tasks, s…
Demonstrating Quantum Computation for Quasiparticle Band Structures
Takahiro Ohgoe, Hokuto Iwakiri, Masaya Kohda +4
Understanding and predicting the properties of solid-state materials from first-principles has been a great challenge for decades. Owing to the recent advances in quantum technolog…
Accelerating Optimal Elemental Configuration Search in Crystal using Ising Machine
Kazuhide Ichikawa, Satoru Ohuchi, Koki Ueno +1
This research demonstrates that Ising machines can effectively solve optimal elemental configuration searches in crystals, with Au-Cu alloys serving as an example. The energy funct…
Shotgun crystal structure prediction using machine-learned formation energies
Chang Liu, Hiromasa Tamaki, Tomoyasu Yokoyama +5
Stable or metastable crystal structures of assembled atoms can be predicted by finding the global or local minima of the energy surface within a broad space of atomic configuration…
Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption
Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii +1
A Manhattan world lying along cuboid buildings is useful for camera angle estimation. However, accurate and robust angle estimation from fisheye images in the Manhattan world has r…