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関連する概念動画

Range00:59

Range

14.4K
The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
14.4K
Electrostatic Boundary Conditions01:16

Electrostatic Boundary Conditions

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Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
The surface integral of an electric field is given by Gauss's law in integral form and is related to...
982
Machines01:19

Machines

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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...
581
Electrostatic Boundary Conditions in Dielectrics01:27

Electrostatic Boundary Conditions in Dielectrics

1.9K
When an electric field passes from one homogeneous medium to another, crossing the boundary between the two mediums imparts a discontinuity in the electric field. This results in electrostatic boundary conditions that depend on the type of mediums the field propagates through.
Consider a case where both the mediums across a boundary are two different dielectric materials. Recall that the electric field and electric displacement are proportional and related through the material's permittivity....
1.9K
Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
677
¹H NMR: Long-Range Coupling01:27

¹H NMR: Long-Range Coupling

2.7K
The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene...
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Constructing and Visualizing Models using Mime-based Machine-learning Framework
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機械学習のための長距離静電学 原子間ポテンシャル 思ったより簡単です.

Dongjin Kim1, Bingqing Cheng1,2,3,4

  • 1Department of Chemistry, UC Berkeley, Berkeley, California 94720, USA.

The Journal of chemical physics
|February 12, 2026
PubMed
まとめ
この要約は機械生成です。

現代の機械学習の原子間ポテンシャル (MLIP) には,遠距離静電学が欠けている. Latent Ewald Summationのフレームワークは,環境依存の電荷を用いてこれらの相互作用を捉え,曖昧な部分電荷を回避します.

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科学分野:

  • コンピューティング・マテリアルサイエンス
  • 量子化学は量子化学である
  • 機械学習 (Machine Learning) とは,機械学習 (Machine Learning) というものです.

背景:

  • 機械学習の原子間ポテンシャル (MLIP) は,材料をシミュレートする上で極めて重要です.
  • 現在のMLIPの主要な制限は,遠距離電気静的相互作用がないことです.
  • この欠陥により,インターフェース,電荷伝送反応,極性物質などの領域での応用が制限されています.

研究 の 目的:

  • MLIPに長距離静電学を組み込むためのLatent Ewald Summationフレームワークを提示する.
  • 静電相互作用と電気応答を捉えるための2つのコア設計原理を蒸留する.
  • フレームワークの柔軟性と広範な適用性を実証するために.

主な方法:

  • 環境に依存する負荷を組み込むクーロン関数形式の開発.
  • 密度関数理論 (DFT) に関する明示的なトレーニングを避ける.
  • 既存の短距離MLIPをLatent Ewald Summationフレームワークで強化する.

主要な成果:

  • Latent Ewald Summationのフレームワークは,長距離の静電相互作用,電荷,および電気反応を効果的に捉えます.
  • このフレームワークは,様々なMLIPや料金均衡システムと統合できます.
  • 推論されたまたは微調整された二極体とボーン効果電荷は達成可能である.

結論:

  • 遠距離静電学をMLIPに組み込むことは,これまで考えられていたよりも簡単です.
  • 提出された物理による設計規則は,広く適用可能な解決策を提供します.
  • この進歩により,より幅広い材料や現象について,より信頼性の高いMLIPシミュレーションが可能になります.