マテリアルズ・インフォマティクス(MI)とは？
マテリアルズ・インフォマティクス(MI)とは？
皆さんが普段使っているスマホやパソコン、車や家電、化粧品や衣料品など、これらを支えているのは「材料」です。 ただ新しい材料を生み出すのはとても大変で、原料の種類は何百、何千とあり、組み合わせや工程条件を少し変えるだけで、結果が変わってしまいます。 近年は「もっと早く開発して」「コストを下げて」「環境にやさしくして」という社会からの要望がどんどん増えています。 その一方で研究現場では人材不足という大きな課題もあります。人材確保が難しくなる中、限られたリソースで成果を出さなければなりません。 だからこそ、研究者さんたちがこれまでに積み重ねてきた実験データをAIに学習させて、条件と結果のパターンをAI(機械学習)モデル化するのです。 そのため、数十回の実験で目標を達成できたり、実験回数を大幅に減らすことができます。 つまり、MIは研究者個人の勘や経験だけに頼るのではなく、データを根拠にゴールまでの最短距離を示してくれるカーナビのようなイメージです。
1～14 item / All 14 items
-
What is Materials Informatics (MI)? *Material development with AI
We will introduce a case study of successfully streamlining and shortening the development of high-performance elastomer seals using AI predictions. *Case study materials are currently available for download from the catalog!
last updated
-
[White Paper Available] Data Strategy and Its Implementation for MI Utilization
How can we overcome the barriers to utilizing MI that are often encountered on-site?
last updated
-
Successful Case of Maxell's Introduction of Materials Informatics (MI)
[Case Study on the Integrated MI Platform "Polymerize Labs"] Maxell's Challenge to Establish MI Utilization within the Organization and Promote Data-Driven Development.
last updated
-
Material Development Support Service "Polymerize One"
Consistently carry out data generation, AI model construction, and validation experiments! It is possible to shorten the lead time for efficient material development and market introduction.
last updated
-
Integrated Materials Informatics Platform
By leveraging the formulations and material properties simulated by AI, we achieve a reduction in overall research and development costs and a shortening of time-to-market lead times.
last updated
-
Data management and AI engine research and development at Polymerize Labs.
Polymerize Labs has achieved a reduction of the formulation development period to one-third and has cut research and development costs by over 40%.
last updated
-
Reduce man-hours by 50% compared to the trial-and-error development process.
A must-see for companies that want to develop new products while minimizing setbacks through a trial-and-error development process!
last updated
-
Case study on the efficiency improvement of the high-performance elastomer seal development process using AI predictions.
To maximize the performance of the elastomer seal at high temperatures, I want to minimize the compression set while maintaining elongation at the breaking point.
last updated
-
Polymerize Labs
Revolutionize material development with AI! Integrated Materials Informatics Platform.
last updated
-
Introduction of product development examples utilizing AI [Polymerize case study]
Introducing a case where we successfully streamlined and shortened the development of high-performance elastomer seals using AI predictions! Minimizing the processes necessary to achieve development goals!
last updated
-
We are currently offering a case study on the efficiency improvement of the product development process using AI predictions!
Introducing a case study of successful efficiency and shortening in the development of high-performance elastomer seals using AI predictions, with a focus on minimizing the processes necessary to achieve development goals.
last updated
-
Platform "Polymerize Labs"
We will bring innovation to the chemical and materials industries with an approach utilizing our proprietary AI technology.
last updated
-
Three reasons why data management is important in a chemical company.
Here are three reasons that emphasize the importance of data management in the chemical industry!
last updated
-
The history of materials informatics (MI)
I will explain materials informatics, abbreviated as MI, in an easy-to-understand and enjoyable way.
last updated