AndTech to Host Zoom Seminar on 'Basics and Applications of Neural Network Molecular Dynamics' on June 30
AndTech announced that it will host an online seminar on neural network-based material design on June 30, 2026, featuring Professor Hiroshi Kubo from Tohoku University.
📋 Article Processing Timeline
- 📰 Published: May 26, 2026 at 18:51
- 🔍 Collected: May 26, 2026 at 10:01
- 🤖 AI Analyzed: May 27, 2026 at 13:51 (27h 49m after Collected)
AndTech is hosting a specialized seminar on 'Neural Network Molecular Dynamics Simulation' as part of its R&D support Zoom training series.
This method possesses advantages over conventional molecular dynamics, including large-scale calculations with precision equivalent to first-principles calculations, simplified parameter development, and applicability to multi-element systems, complex chemical reactions, and two-dimensional materials. Its industrial application is accelerating rapidly.
[Seminar Overview]
Theme: Basics and Applications of Neural Network Molecular Dynamics: Data-Driven Material Design
Date & Time: Tuesday, June 30, 2026, 10:30-16:30
Instructor: Hiroshi Kubo, Professor and Director of the Center for Computational Materials Science, Institute for Materials Research, Tohoku University
Fee: 49,500 JPY (tax included, materials provided)
Format: Zoom Live Stream
[Seminar Content]
1. Success cases using neural network molecular dynamics
2. Comparison of features and advantages over conventional methods
3. Basics, methodology, and calculation procedures
4. Solutions for calculation failures
5. Identifying suitable and unsuitable calculation targets
6. Strategic directions and future strategies for corporate implementation
Details and Registration: https://andtech.co.jp/seminars/1f149609-ab79-6e90-9681-064fb9a95405
This method possesses advantages over conventional molecular dynamics, including large-scale calculations with precision equivalent to first-principles calculations, simplified parameter development, and applicability to multi-element systems, complex chemical reactions, and two-dimensional materials. Its industrial application is accelerating rapidly.
[Seminar Overview]
Theme: Basics and Applications of Neural Network Molecular Dynamics: Data-Driven Material Design
Date & Time: Tuesday, June 30, 2026, 10:30-16:30
Instructor: Hiroshi Kubo, Professor and Director of the Center for Computational Materials Science, Institute for Materials Research, Tohoku University
Fee: 49,500 JPY (tax included, materials provided)
Format: Zoom Live Stream
[Seminar Content]
1. Success cases using neural network molecular dynamics
2. Comparison of features and advantages over conventional methods
3. Basics, methodology, and calculation procedures
4. Solutions for calculation failures
5. Identifying suitable and unsuitable calculation targets
6. Strategic directions and future strategies for corporate implementation
Details and Registration: https://andtech.co.jp/seminars/1f149609-ab79-6e90-9681-064fb9a95405
FAQ
このセミナーのテーマは何ですか？
「ニューラルネットワーク分子動力学法の基礎と応用：データ駆動型材料設計」というテーマで、シミュレーションの基礎から産業応用までを学びます。
セミナーはいつ、どのような形式で開催されますか？
2026年6月30日（火）10:30から16:30まで、Zoomによるライブ配信形式で開催されます。
誰が講師を務めますか？
東北大学 金属材料研究所 計算材料学センター センター長・教授の久保百司氏が講師を務めます。
参加費用はいくらですか？
税込49,500円です。資料は電子配布される予定です。
ニューラルネットワーク分子動力学法の利点は何ですか？
大規模計算が可能、パラメータ開発の容易化、多元素系への適用、複雑な化学反応や二次元材料への対応といった長所があります。