logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
H

Hiromasa Kaneko

Meiji University

29H指数
271论文数
3.2K被引数
收录论文 132
发表时间
logo
Design of Thermotropic Liquid Crystal Molecules With a Wide Temperature Range for the Liquid Crystal Phase Using Machine Learning利用机器学习设计具有宽温度范围的向列相液晶分子
errMolecular Informatics
IF3.1
err2026-09-14
err0
PREAI
errNaoki Masuyama; Hiromasa Kaneko
err分享
err收藏
Modular Composition-to-Structure Machine-Learning Workflow for Hypothesis Generation in Lithium Solid Electrolytes模块化组成-结构机器学习工作流用于锂固态电解质假设生成
errJournal of Physical Chemistry C
IF3.2
err2026-09-03
err0
PREAI
errEri Ishikawa; Hiromasa Kaneko
err分享
err收藏
Construction of a multi-label odor prediction model based on molecular structures and olfactory receptor binding profiles with a novel interpretability framework基于分子结构和嗅觉受体结合谱构建的多标签气味预测模型及新型可解释性框架
errAnalytical Sciences
IF2
err2026-07-01
err1
errOAAI
errWakutsu, Yuta; Kaneko, Hiromasa
err分享
err收藏
Robust machine learning and ensemble learning approach to predict variation in experimental data for multiple measurements and anomalies基于鲁棒机器学习和集成学习的方法预测多次测量实验数据中的变化及异常
errAnalytical Sciences
IF2
err2026-07-01
err0
errOAAI
errSakai, Yuta; Katayama, Motosuke; Kaneko, Hiromasa
err分享
err收藏
Generation of Molecules Near the Applicability Domain Boundaries of Property Prediction Models在属性预测模型适用域边界附近生成分子
errJournal of Chemical Information and Modeling
IF5.3
err2026-06-04
err0
PREAI
errYuta Uchibori; Hiromasa Kaneko
err分享
err收藏
Data-Driven Design of Organic Semiconductors Exhibiting Low Reorganization Energy via Hierarchical Variational Autoencoders; Gaussian Mixture Regression; and Bayesian Optimization基于分层变分自编码器、高斯混合回归和贝叶斯优化的低重组能有机半导体数据驱动设计
errJournal of Chemical Information and Modeling
IF5.3
err2026-06-03
err0
PREAI
errYamato Nakanishi; Tatsuhito Ando; Nobuyuki N. Matsuzawa; Hiroyuki Maeshima; Hiromasa Kaneko
err分享
err收藏
kNNPC (k-Nearest Neighbor Algorithm Per-Class): Classification Method Predicting Extrapolation Regions With Reasonable ProbabilitykNNPC（k-最近邻算法每类）：预测外推区域的分类方法，具有合理的概率
errJournal of Chemometrics
IF2.1
err2026-05-14
err0
errOAAI
errKaneko, Hiromasa
err分享
err收藏
Machine Learning Models Predicting Solubility and Polymerizability of Polyimides Considering Multiple Monomers for CO2 Separation Membranes机器学习模型预测用于CO2分离膜的聚酰亚胺的溶解度和聚合度，考虑多种单体
errMolecular Informatics
IF3.1
err2026-04-22
err0
errOAAI
errYuto Shino; Motosuke Katayama; Yuri Ito; Hiromasa Kaneko
err分享
err收藏
Post-ageing guided closed-loop discovery of multi-element alloy catalysts for automotive exhaust purification后老化引导的闭环发现用于汽车尾气净化的多元素合金催化剂
errnanoscale adv.
IF0
err2026-03-17
err0
errOAAI
errHitoshi Mikami; Azusa Kamiyama; Kohei Kusada; Megumi Mukoyoshi; Hiromasa Kaneko; Masaaki Haneda; Hiroshi Maeno; Tomokazu Yamamoto; Yasukazu Murakami; Hiroshi Kitagawa
err分享
err收藏
Infrared Spectral Descriptors for Reaction Yield Prediction: Toward Redefining Experimental Spaces红外光谱特征用于反应产率预测：迈向重新定义实验空间
errMolecular Informatics
IF3.1
err2026-02-01
err0
errOAAI
errEndo, Yuya; Kaneko, Hiromasa
err分享
err收藏
Beware of optimality criteria in design of experiments: New criterion based on distance to the ideal distribution for advanced machine learning注意实验设计中的最优性准则：基于理想分布距离的新准则，适用于高级机器学习
errMaterials Today Communications
IF4.5
err2026-01-08
err0
errOAAI
errHiromasa Kaneko
err分享
err收藏
Design of Gold Extraction Solvents Using Machine Learning Models基于机器学习模型的金萃取溶剂设计
errACS Omega
IF4.3
err2026-01-01
err0
errOAAI
errTsunemi, Takuto; Oshima, Tatsuya; Yokota, Hiroki; Kaneko, Hiromasa
err分享
err收藏
Construction and Improvement of a Model for Quantifying Blood Glucose Concentration Using Mid-Infrared Spectroscopy利用中红外光谱法定量测定血糖浓度的模型构建与改进
errJOURNAL OF CHEMOMETRICS
IF2.1
err2025-12-01
err0
errOAAI
errTakami, Yuta; Miyagawa, Keita; Tsuda, Yuki; Akiyama, Koichi; Matsuura, Yuji; Kaneko, Hiromasa
err分享
err收藏
Machine Learning-Driven Design of Sustainable Polymer Membranes: Integrated Prediction of Gas Permeability, Selectivity, and Biodegradability
errACS OMEGA
IF4.3
err2025-12-01
err0
PREAI
errOchiai, Haruki; Nagai, Kazukiyo; Kaneko, Hiromasa
err分享
err收藏
Adsorption Energy Prediction Model for CO2 Reduction on Electrocatalysts Containing Previously Unencountered Metal Elements
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2025-12-01
err0
PREAI
errOnishi, Issa; Kaneko, Hiromasa
err分享
err收藏
Enhancing the Interpretability of Asymmetric Catalysis CoMFA through PLS (n=1) with Contribution Map Merging and Spatial Aggregation通过贡献图合并和空间聚合，利用PLS (n=1)增强不对称催化CoMFA的可解释性
errJOURNAL OF ORGANIC CHEMISTRY
IF3.6
err2025-12-01
err0
PREAI
errSumii, Yuta; Kaneko, Hiromasa
err分享
err收藏
Design of Polymeric Nickel Catalysts for Suzuki–Miyaura Type Cross–Coupling Reaction Using Machine Learning基于机器学习设计的用于Suzuki–Miyaura型交叉偶联反应的聚集体镍催化剂
errACS Applied Polymer Materials
IF4.7
err2025-11-10
err0
PREAI
errSho Takaoka; Zhenzhong Zhang; Yoichi M. A. Yamada; Hiromasa Kaneko
err分享
err收藏
Development of Pesticide-Likeness Scores and Models for Predicting Pesticide Activity of Molecular Scaffolds with Machine Learning基于机器学习开发农药相似性评分及预测分子骨架农药活性的模型
errACS Omega
IF4.3
err2025-11-07
err0
errOAAI
errYuta Sakai; Hiromasa Kaneko
err分享
err收藏
Development of a Model for Predicting the Thermophysical Properties of Carbon Materials and Proposal of Manufacturing Conditions Using the Model碳材料热物理性质预测模型的开发及利用该模型提出制造条件
errAnalytical Science Advances
IF4.1
err2025-07-30
err0
errOAAI
errMasayoshi Matsubara; Ryo Sasaki; Jun P. Takahara; Shinji Moritake; Yasuyuki Harada; Hiromasa Kaneko
err分享
err收藏
What Is the Outlier—Consistent Outlier or Inconsistent Outlier?什么是离群值——一致的离群值还是不一致的离群值？
errAnalytical Science Advances
IF4.1
err2025-07-24
err0
errOAAI
errHiromasa Kaneko
err分享
err收藏

研究方向

暂无研究方向
合作学者
合作期刊
Y
Y. Minami
H 指数: 94 · 论文数: 575
S
Shunichi Takeda
H 指数: 89 · 论文数: 489
H
Hiroshi Kitagawa
H 指数: 85 · 论文数: 1.2K
S
Steven De Feyter
H 指数: 78 · 论文数: 717
金
金海 (Hai Jin)
H 指数: 78 · 论文数: 2.3K
查看更多