activity
20232026
most citedTopic Modeling and Sentiment Analysis on Japanese Online Media's Coverage of Nuclear Energy

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

SAKURAONE: An Open Ethernet-Based AI HPC System and Its Observed Workload Dynamics in a Single-Tenant LLM Development Environment

Fumikazu Konishi, Yuuki Tsubouchi, Hirofumi Tsuruta

SAKURAONE is a managed high performance computing (HPC) cluster developed and operated by the SAKURA Internet Research Center. It builds on the KOKARYOKU PHY bare metal GPU platfor…

cs.LG2025

MatPROV: A Provenance Graph Dataset of Material Synthesis Extracted from Scientific Literature

Hirofumi Tsuruta, Masaya Kumagai

Synthesis procedures play a critical role in materials research, as they directly affect material properties. With data-driven approaches increasingly accelerating materials discov…

cs.CL2024★ 5 cited

Topic Modeling and Sentiment Analysis on Japanese Online Media's Coverage of Nuclear Energy

Yifan Sun, Hirofumi Tsuruta, Masaya Kumagai +1

Thirteen years after the Fukushima Daiichi nuclear power plant accident, Japan's nuclear energy accounts for only approximately 6% of electricity production, as most nuclear plants…

cs.LG2024★ 1 cited

A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models

Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda +2

Antibodies are crucial proteins produced by the immune system to eliminate harmful foreign substances and have become pivotal therapeutic agents for treating human diseases. To acc…

cond-mat.mtrl-sci2023★ 3 cited

DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials

Hirofumi Tsuruta, Yukari Katsura, Masaya Kumagai

Machine learning (ML) is becoming increasingly popular for predicting material properties to accelerate materials discovery. Because material properties are strongly affected by it…