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Service
From designing to mass manufacturing of materials such as inorganic, organic, and polymer, you can perform extensive data analysis and machine learning without programming.
Three features
Datachemical LAB offers unique features in terms of the field of application, the technology platform, and the educational support system.
Feature 1.
Broad Applicability Across Industries
Regardless of material type, Datachemical LAB supports R&D through manufacturing on a single platform
Major application examples
20～30の実験データをもとに最適な実験点を予測
数万の実験候補を自動生成し、最初に試すべき条件を選定
化学構造を学習し、目標性能を満たす未知の化学構造を推定
センサーデータから測定困難な因子をリアルタイム推定
Feature 2.
High Predictive Accuracy
and Advanced Analysis
Datachemical LAB incorporates the research results of the Data Chemical Engineering Laboratory at Meiji University and the latest findings in each field, to enable rich analysis functions.
Hiromasa Kaneko
CTO / Professor of the School of Science and Technology, Meiji University
Author of 4 books
Number of joint research projects with companies and universities: More than 30
Management of the Data Chemical Engineering Laboratory
Joint research partners of the Data Chemical Engineering LaboratorySUMITOMO CHEMICAL, SEKISUI CHEMICAL, TOSHIBA, Panasonic, Furuya Metal, RIKEN, The University of Tokyo, Kyoto University, The University of Osaka, St. Marianna University, etc.
In addition to high prediction accuracy,
Datachemical LAB supports the full workflow:
Preprocessing → Model Building → Prediction
Feature 3.
Educational Support System for Learning Technology
We provide a variety of services, including a support website, operation guide function, and support from our team members so that even data science beginners can learn and apply Datachemical LAB.
Feature 3.
Educational Support System for Learning Technology
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