Ryo Yoshida

Keio University — Japan

Materials Science · Physical Sciences

26h-index2.8kcitations138works3.22yr avg
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Research Topics

Machine Learning in Materials Science(32), Genetics, Aging, and Longevity in Model Organisms(24), Gene expression and cancer classification(21), Bioinformatics and Genomic Networks(19), Computational Drug Discovery Methods(17)

Publications138 total

Self-Oscillating Helix Showing Amplified Winding and Unwinding Motions.
PubMed·2026
Cross-Hierarchical Transduction of Dynamic Behaviors from Self-Oscillating Microgels to Colloidosomes
Langmuir·2026
LiDAR Beacon: 300 m-Range Fiducial Marker for Mobile Robot Localization with Dual Temporal Range–Reflectance Modulation
IEEE Sensors Journal·2026Open Access
Physics-informed active learning for the design of thermally conductive composite microstructures with controlled anisotropy
SSRN Electronic Journal·2026Open Access
Optical LiDAR Communication: Repurposing Existing LiDAR Sensors for Infrastructure-to-Vehicle Communication
IEEE Robotics and Automation Letters·2025
Epigenetic–metabolic axis in the temporal scaling of mammalian cortical neurogenesis across species
2025· 1 citedOpen Access
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
npj Computational Materials·2025· 8 citedOpen Access
Author Correction: Shotgun crystal structure prediction using machine-learned formation energies
npj Computational Materials·2025Open Access
Author Correction: Scaling Law of Sim2Real transfer learning in expanding computational materials databases for real-world predictions
npj Computational Materials·2025Open Access
Scaling law of Sim2Real transfer learning in expanding computational materials databases for real-world predictions
npj Computational Materials·2025· 5 citedOpen Access
Database and deep-learning scalability of anharmonic phonon properties by automated brute-force first-principles calculations
2025· 3 citedOpen Access
From Lab to Road: Realizing and Detecting LiDAR Spoofing Attacks Against Autonomous Vehicles at High Speed and Long Distance
IEEE Sensors Journal·2025· 3 cited
Breaking the Shield: Systematic Security Analysis on Pulse Fingerprinting LiDAR Systems for Autonomous Driving
IEEE Sensors Journal·2025· 1 cited
Dynamics of tobermorite dehydration process from atomistic simulations: The role of bridging silicate and hydroxyl
Construction and Building Materials·2025
Advancing extrapolative predictions of material properties through learning to learn using extrapolative episodic training
Communications Materials·2025· 6 citedOpen Access
Smectic liquid crystalline poly(ester imide)s with low dielectric dissipation factors for high-frequency applications
Polymer Journal·2025· 6 citedOpen Access
SPACIER: on-demand polymer design with fully automated all-atom classical molecular dynamics integrated into machine learning pipelines
npj Computational Materials·2025· 15 citedOpen Access
On the Realism of LiDAR Spoofing Attacks against Autonomous Driving Vehicle at High Speed and Long Distance
2025· 9 citedOpen Access
If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?
Journal of Natural Language Processing·2025Open Access
Shotgun crystal structure prediction using machine-learned formation energies
npj Computational Materials·2024· 10 citedOpen Access
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Frequent Co-authors

Satoru Miyano(15), Seiya Imoto(14), Tomoyuki Higuchi(14), Rui Yamaguchi(11), Chang Liu(10), Masao Nagasaki(10), Stephen Wu(9), Yoshihiro Hayashi(6), Teppei Shimamura(5), Kazuko Ueno(5), Osamu Hirose(5), H. Yamada(4), Junichiro Shiomi(4), Junko Morikawa(4), Mai Yamauchi(4), Noriko Gotoh(4), Yu Toyoshima(4), T Tokunaga(4), Takayuki Teramoto(4), Takeshi Ishihara(4)