Hiromasa Kaneko

53PUBLICATIONS
25CO-AUTHORS
Microfluidics and nanofluidicsProcess control and simulationComputational chemistryOrganic semiconductorsSemi- and unsupervised learning
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Publications (53)

|Jul 30, 2026
Design of Thermotropic Liquid Crystal Molecules With a Wide Temperature Range for the Liquid Crystal Phase Using Machine Learning.

|Jun 14, 2026
Machine learning-based prediction of polyvinyl alcohol product viscosity and design of optimal process conditions.

|Jun 04, 2026
Generation of Molecules Near the Applicability Domain Boundaries of Property Prediction Models.

|Jun 04, 2026
Data-Driven Design of Organic Semiconductors Exhibiting Low Reorganization Energy via Hierarchical Variational Autoencoders, Gaussian Mixture Regression, and Bayesian Optimization.

|Jun 01, 2026
A general framework for extrapolation-aware prediction reliability in forward and inverse analyses of Gaussian mixture regression models.

|Apr 24, 2026
Robust machine learning and ensemble learning approach to predict variation in experimental data for multiple measurements and anomalies.

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Frequent Collaborators

3 joint publications

Toshiharu Morishita

3 joint publications

Tatsuhito Ando

3 joint publications

Nobuyuki N Matsuzawa

2 joint publications

Kazukuni Tahara