Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

785
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
785
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

608
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
608
Psychodynamic Perspectives on Personality01:27

Psychodynamic Perspectives on Personality

1.6K
The psychodynamic perspective in psychology asserts that most personality functions operate unconsciously, outside of awareness. This means that the motives and emotions driving behavior often remain hidden, automatically buried in the unconscious mind as a defense mechanism to shield us from psychological distress. According to this theory, the unconscious mind contains thoughts, memories, and emotions that are too disturbing to face directly.
Psychodynamic theorists argue that unconscious...
1.6K
Machines01:19

Machines

579
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
579
Bacterial Transformation01:33

Bacterial Transformation

60.0K
In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...
60.0K
Criticisms of the Evolutionary Perspective01:23

Criticisms of the Evolutionary Perspective

375
In a study where individuals posing as strangers offered compliments and proposed casual sex to students, the responses differed significantly based on gender. Not a single woman accepted the proposal, while 70% of the men agreed. This outcome provides a useful scenario to explore through the lens of evolutionary psychology and social learning theory, highlighting the diverse perspectives on human sexual behaviors.
Evolutionary psychology provides one explanation for these findings, suggesting...
375

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Design and Synthesis of a High-Performance Copper(II) Metal-Organic Framework Featuring Large Surface Area and Enhanced Methane Adsorption Capacity from a Thiophene-Functionalized Diisophthalic Acid Ligand.

Inorganic chemistry·2026
Same author

ReDD-COFFEE under the Lens: Revealing Adsorption and Separation Performances of Hypothetical COFs Using Molecular Simulations and Machine Learning.

Industrial & engineering chemistry research·2026
Same author

Molecular Modeling-Based Machine Learning for Accurate Prediction of Gas Diffusivity and Permeability in Metal-Organic Frameworks.

ACS materials Au·2026
Same author

Data-Efficient Equivariant NNPs Enable DFT-Accurate Simulations and Implicit Solvation Free Energies.

The journal of physical chemistry. B·2025
Same author

Modeling CO2 adsorption in flexible MOFs with open metal sites via fragment-based neural network potentials.

The Journal of chemical physics·2025
Same author

Integrating Molecular Simulations with Machine Learning to Discover Selective MOFs for CH<sub>4</sub>/H<sub>2</sub> Separation.

The journal of physical chemistry. C, Nanomaterials and interfaces·2025

関連する実験動画

Updated: Feb 5, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K

機械学習ポテンシャルによるMOFモデリングの変革:進歩と展望

Omer Tayfuroglu1, Seda Keskin1

  • 1Department of Chemical and Biological Engineering, Koc University, Rumelifeneri Yolu, Sariyer, Istanbul 34450, Turkey.

Journal of chemical information and modeling
|February 3, 2026
PubMed
まとめ

機械学習ポテンシャル(MLP)は、金属有機構造体(MOF)に対して正確かつ効率的なモデリングを提供する。MOFのための普遍的なMLPを開発することは困難であるが、材料発見にとって重要である。

科学分野:

  • 材料科学
  • 計算化学
  • 化学物理

背景:

  • 機械学習ポテンシャル(MLP)は、量子力学の精度とシミュレーションの効率性を統合する。
  • MLPは、複雑な金属有機構造体(MOF)とそのゲスト分子相互作用をモデル化する。
  • MLPは、柔軟なフレームワークにおける固有のMOF特性とホスト-ゲスト挙動を捉える。

研究 の 目的:

  • MLPベースのMOFモデリングにおける現在の進歩をレビューする。
  • 方法論、データ生成、および能動学習の進歩を強調する。
  • 普遍的なMOF MLPの課題と将来の方向性を概説する。

主な方法:

  • 量子力学データからポテンシャルエネルギー表面を学習する。
  • 格子ダイナミクスや吸着などのMOF特性をシミュレートする。
  • 効率的なデータサンプリングのために能動学習プロトコルを利用する。

主要な成果:

  • MLPは、多様なMOFの特性と挙動のモデリングにおいて能力を示す。
  • 課題には、MOFの多様性、配置サンプリング、およびMLP実装の標準化が含まれる。
  • 方法論の進歩とデータ戦略において進歩が見られる。
キーワード:
ab initio精度能動学習吸着機械学習金属有機構造体

さらに関連する動画

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K
Observing the Transformation of Bodily Self-consciousness in the Squeeze-machine Experiment
07:20

Observing the Transformation of Bodily Self-consciousness in the Squeeze-machine Experiment

Published on: March 8, 2019

14.3K

関連する実験動画

Last Updated: Feb 5, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K
Observing the Transformation of Bodily Self-consciousness in the Squeeze-machine Experiment
07:20

Observing the Transformation of Bodily Self-consciousness in the Squeeze-machine Experiment

Published on: March 8, 2019

14.3K

結論:

  • 転移可能でアクセス可能なMLPは、予測的なMOF設計の鍵となる。
  • 現在の課題を克服することは、MOFの発見と応用を加速するだろう。
  • 標準化された、ユーザーフレンドリーなMLPツールが、より広範な採用のために必要とされる。