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分子動力学(MD)シミュレーションソフトの選び方|材料開発で見るべきポイントを解説

Makoto Ota Makoto Ohta

分子動力学 解説記事

分子動力学(MD)シミュレーションソフトの選び方|材料開発で見るべきポイントを解説

What is lab automation? Concepts and latest trends in experimental automation in materials development.

Makoto Ota Makoto Ohta

Lab automation Explainer

What is lab automation? Concepts and latest trends in experimental automation in materials development.

What is the semiconductor manufacturing process? A thorough explanation of front-end processes such as film deposition, photoetching, and CMP from a materials simulation perspective.

Marketing team Marketing team

Explainer computational chemistry

What is the semiconductor manufacturing process? A thorough explanation of front-end processes such as film deposition, photoetching, and CMP from a materials simulation perspective.

AI pioneers materials development through computational chemistry

Bon Cho Bon Cho

DFT Molecular Dynamics Machine Learning Interatomic Potentials Explainer

AI pioneers materials development through computational chemistry

Explainer : Why Did the AI Predict That ? Uncovering Atomic-Level Interpretability through PFP Descriptors and Shapley Values

Bon Cho Bon Cho

Materials Informatics Explainer Computational Chemistry

Explainer : Why Did the AI Predict That ? Uncovering Atomic-Level Interpretability through PFP Descriptors and Shapley Values

Writing SMILES from scratch

Bon Cho Bon Cho

Explainer computational chemistry

Writing SMILES from scratch

Introduction to Machine Learning Interatomic Potentials (MLIPs): A Game Changer in Materials Simulation

Masataka Yamauchi Masataka Yamauchi

Machine Learning Interatomic Potentials Explainer

Introduction to Machine Learning Interatomic Potentials (MLIPs): A Game Changer in Materials Simulation

High-Accuracy and High-Speed MOF Calculations with Matlantis - Benchmark Results of  Machine Learning Interatomic Potentials - 

Junichi Ishida Junichi Ishida

Explainer computational chemistry

High-Accuracy and High-Speed MOF Calculations with Matlantis
- Benchmark Results of 
Machine Learning Interatomic Potentials - 

[Kyoto Univ. Prof. Kitagawa Wins the Nobel Prize in Chemistry]What is PCP / MOF? Explaining Their Impact and Significance

Hirotaka Yonezawa Hirotaka Yonezawa

Explainer computational chemistry

[Kyoto Univ. Prof. Kitagawa Wins the Nobel Prize in Chemistry]What is PCP / MOF? Explaining Their Impact and Significance

[For Beginners] What is Density Functional Theory (DFT)? | Basics

Makoto Sato Makoto Sato

DFT Explainer Computational Chemistrychemistry

[For Beginners] What is Density Functional Theory (DFT)? | Basics

Molecular Dynamics Simulations for Materials and Molecule Discovery - From Fundamental to Emerging Trends-

Masataka Yamauchi Masataka Yamauchi

MD Explainer Computational Chemistry

Molecular Dynamics Simulations for Materials and Molecule Discovery - From Fundamental to Emerging Trends-

How to Choose DFT Software: Representative Software by Application and Implementation Steps

Makoto Sato Makoto Sato

DFT Explainer Computational Chemistrychemistry

How to Choose DFT Software: Representative Software by Application and Implementation Steps

An Introduction to Materials Informatics: From Fundamental Concepts to Cutting-Edge Research.

Bon Cho Bon Cho

Materials Informatics Explainer Computational Chemistry

An Introduction to Materials Informatics: From Fundamental Concepts to Cutting-Edge Research.