Search research articles

お問い合わせ

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 Journal Methods Collections JoVE Encyclopedia of Experiments アーカイブ

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教員リソースセンター教員サイト

プライバシーポリシー

関連する概念動画

The Wave Nature of Light

The Wave Nature of Light

The nature of light has been a subject of inquiry since antiquity. In the seventeenth century, Isaac Newton performed experiments with lenses and prisms and was able to demonstrate that white light consists of the individual colors of the rainbow combined together. Newton explained his optics findings in terms of a "corpuscular" view of light, in which light was composed of streams of extremely tiny particles traveling at high speeds according to Newton's laws of motion.

Symmetry in Maxwell's Equations

Symmetry in Maxwell's Equations

Once the fields have been calculated using Maxwell's four equations, the Lorentz force equation gives the force that the fields exert on a charged particle moving with a certain velocity. The Lorentz force equation combines the force of the electric field and of the magnetic field on the moving charge. Maxwell's equations and the Lorentz force law together encompass all the laws of electricity and magnetism. The symmetry that Maxwell introduced into his mathematical framework may not be...

Differential Form of Maxwell's Equations

Differential Form of Maxwell's Equations

James Clerk Maxwell (1831–1879) was one of the significant contributors to physics in the nineteenth century. He is probably best known for having combined existing knowledge of the laws of electricity and the laws of magnetism with his insights to form a complete overarching electromagnetic theory, represented by Maxwell's equations. The four basic laws of electricity and magnetism were discovered experimentally through the work of physicists such as Oersted, Coulomb, Gauss, and...

Maxwell's Equation Of Electromagnetism

Maxwell's Equation Of Electromagnetism

James Clerk Maxwell (1831–1879) was one of the major contributors to physics in the nineteenth century. Although he died young, he made major contributions to the development of the kinetic theory of gases, to the understanding of color vision, and to understanding the nature of Saturn's rings. He is probably best known for having combined existing knowledge on the laws of electricity and magnetism with his insights into a complete overarching electromagnetic theory, which is...

Fluid Mosaic Model

Fluid Mosaic Model

Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...

Ampere's Law in Matter

Ampere's Law in Matter

The total current density in magnetized material is the sum of the free and bound current densities. The free current arises due to the motion of free electrons within the material, while the bound current arises due to the alignment of magnetic dipole moments.
The differential form of Ampere's law in vacuum states that the curl of the magnetic field equals the permeability times the current density. In a magnetized material, the law is modified to incorporate the free and bound current...

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

Systems metabolic engineering of Corynebacterium glutamicum for efficient production of L-isoleucine.

Journal of animal science and biotechnology·2026

Same author

Metabolic engineering of <i>Escherichia coli</i> based on adaptive evolution and omics technology for highly efficient l-valine production under oxygen-limited conditions.

Synthetic and systems biotechnology·2026

Same author

Recent advances in the microbial production of L-arginine and its derivatives using engineering Corynebacterium glutamicum and Escherichia coli.

Biotechnology advances·2026

Same author

Two-dimensional IR-Raman spectroscopy of vibrational polaritons: Role of dipole surfaces.

The Journal of chemical physics·2026

Same author

Unveiling the role of local temperature gradients in individual zeolites containing metal active sites.

Chemical science·2026

Same author

Impact of anterior cruciate ligament and medial collateral ligament injuries on medial unicompartmental knee arthroplasty outcomes.

Cirugia y cirujanos·2026

Same journal

Electron Alchemy with Machine-Learned Interatomic Potentials: Case Studies of Local Charge in Bond Dissociation Curves.

Journal of chemical theory and computation·2026

Same journal

Multilevel Fragmentation and Boundary Corrections for Accurate Vibrational Spectra of Large Molecules.

Journal of chemical theory and computation·2026

Same journal

Special Topics: Developments of Theoretical and Computational Chemistry Methods in Asia.

Journal of chemical theory and computation·2026

Same journal

Predicting Excited-State Energies from Ground-State Descriptors in Thermally Fluctuating π-Conjugated Molecules.

Journal of chemical theory and computation·2026

Same journal

Many-Body Theory Predictions of Positron Binding Energies in Five-Membered Heterocycles Involving N, O, S, and NH Substituents.

Journal of chemical theory and computation·2026

Same journal

<i>opt</i>-DDAP: Optimizable Density-Derived Atomic Point Charges via Automatic Differentiation.

Journal of chemical theory and computation·2026

関連記事をすべて見る

Search research articles

関連する実験動画

Updated: Mar 1, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

MaxwellLink: 光と物質の自己無撞着シミュレーションのための統一フレームワーク

Xinwei Ji¹, Andres Felipe Bocanegra Vargas¹, Gang Meng¹

¹Department of Physics and Astronomy, University of Delaware, Newark, Delaware 19716, United States.

Journal of chemical theory and computation

|February 27, 2026

まとめ

この要約は機械生成です。

MaxwellLinkは、光と物質の相互作用をシミュレーションするための新しいPythonフレームワークです。高性能コンピューティングクラスター上で電磁場と分子動力学を結合することにより、正確で大規模なシミュレーションを可能にします。

キーワード:

光と物質の相互作用自己無撞着シミュレーション分子動力学電磁場オープンソース Pythonフレームワーク高性能コンピューティング

さらに関連する動画

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

関連する実験動画

Last Updated: Mar 1, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

科学分野:

計算物理学および化学、量子光学およびプラズモニクス

背景:

光と物質の相互作用のシミュレーションは、異なる時間スケールと空間スケールのため、依然として困難です。既存の方法では、しばしば近似が用いられ、複雑な系の探索が制限されます。

研究の目的:

自己無撞着光物質シミュレーションのためのモジュラーでオープンソースのPythonフレームワークであるMaxwellLinkを開発すること。電磁場と分子動力学を橋渡しする、大規模な並列シミュレーションを可能にすること。

主な方法:

MaxwellLinkは、ソケットインターフェースを使用して電磁場ソルバーと分子動力学ドライバーを結合します。空洞、FDTDなどの多様な電磁場ソルバーと、量子系、MD、Ehrenfestダイナミクスなどの分子記述をサポートします。スケーラブルなアーキテクチャにより、HPCノード上で電磁場と分子コンポーネントを独立してスケーリングできます。

主要な成果:

個々の光と物質の相互作用のシミュレーションを可能にする、モジュラーで拡張性の高いプラットフォームを提供します。これにより、これまで計算能力の限界からアクセスできなかったシミュレーションが可能になります。さらに、電磁場と分子コンポーネントの異なる理論レベル間でのシミュレーションの切り替えを容易にします。

結論:

MaxwellLinkは、高度な光物質シミュレーションのための統一された拡張可能なプラットフォームを提供します。これにより、分光法、量子光学、プラズモニクス、およびポラリトニクスにおける新たな現象の探求のための強力なツールが提供されます。