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関連する概念動画

Strong Acid and Base Solutions03:22

Strong Acid and Base Solutions

32.3K
A strong acid is a compound that dissociates completely in an aqueous solution and produces a concentration of hydronium ions equal to the initial concentration of acid. For example, 0.20 M hydrobromic acid will dissociate completely in water and produces 0.20 M of hydronium ions and 0.20 M of bromide ions.
32.3K
Titration Calculations: Weak Acid - Strong Base03:55

Titration Calculations: Weak Acid - Strong Base

45.1K
Calculating pH for Titration Solutions: Weak Acid/Strong Base
For the titration of 25.00 mL of 0.100 M CH3CO2H with 0.100 M NaOH, the reaction can be represented as:
45.1K
Polyprotic Acids03:38

Polyprotic Acids

29.5K
Acids are classified by the number of protons per molecule that they can give up in a reaction. Acids such as HCl, HNO3, and HCN that contain one ionizable hydrogen atom in each molecule are called monoprotic acids. Their reactions with water are:
29.5K
Intermolecular Forces03:13

Intermolecular Forces

61.0K
Atoms and molecules interact through bonds (or forces): intramolecular and intermolecular. The forces are electrostatic as they arise from interactions (attractive or repulsive) between charged species (permanent, partial, or temporary charges) and exist with varying strengths between ions, polar, nonpolar, and neutral molecules. The different types of intermolecular forces are ion–dipole, dipole–dipole, hydrogen bonds, and dispersion; among these, dipole–dipole, hydrogen...
61.0K
Chemical Equilibria: Systematic Approach to Equilibrium Calculations01:21

Chemical Equilibria: Systematic Approach to Equilibrium Calculations

822
Equilibrium calculations for systems involving multiple equilibria are often complex. For example, to calculate the solubility of a sparingly soluble salt in an aqueous solution in the presence of a common ion, one must consider all the equilibria in this solution. Calculations for these systems can be complicated and tedious, so a systematic approach with a series of steps is often helpful. The process is detailed below.
The first step is to identify all the chemical reactions involved, The...
822
Aqueous Solutions and Heats of Hydration02:42

Aqueous Solutions and Heats of Hydration

15.0K
Water and other polar molecules are attracted to ions. The electrostatic attraction between an ion and a molecule with a dipole is called an ion-dipole attraction. These attractions play an important role in the dissolution of ionic compounds in water.
When ionic compounds dissolve in water, the ions in the solid separate and disperse uniformly throughout the solution because water molecules surround and solvate the ions, reducing the strong electrostatic forces between them. This process...
15.0K

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関連する実験動画

Updated: Sep 9, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

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水酸化物輸送のための機械学習の原子間ポテンシャルの最適化:単一濃度トレーニングの驚くべき効率

Jonas Hänseroth1, Christian Dreßler1

  • 1Theoretical Solid State Physics, Institute of Physics, Technische Universität Ilmenau, 98693 Ilmenau, Germany.

The Journal of chemical physics
|August 28, 2025
PubMed
まとめ

カリウム酸化水素溶液の機械学習の可能性は,濃度間で弱い移転性を示しています. 水素結合のような高濃度現象を捉えるのに役立ちます.

科学分野:

  • コンピュータ化学
  • 材料科学
  • 機械学習

背景:

  • 機械学習の原子間ポテンシャル (MLIP) は,分子シミュレーションでますます使用されています.
  • 異なる化学環境や濃度でのMLIPの移転性は重要な課題です.
  • 水性カリウム水酸化物 (KOH) の溶液は,化学的に均質なシステムで,濃度が異なる.

研究 の 目的:

  • 水中のKOH溶液に対するMLIPの移転性を研究する.
  • 広範なデータなしでMLIPの移転性を改善するための戦略を特定する.
  • 異なる電解質条件下での酸化水素輸送ダイナミクスの正確なシミュレーションを可能にします.

主な方法:

  • 特定のKOH濃度に関するMLIPの開発と微調整
  • 濃度範囲 (0.56〜17.89mol L-1) でMLIP性能 (力予測誤差) を評価する.
  • シングル対マルチ濃度,戦略的に選択された中間濃度で訓練されたモデルを比較する.

主要な成果:

  • 特定の濃度で訓練されたモデルでは,誤差が30から90meV Å-1に増加し,移転性が低いことが示された.
  • 中間濃度 (6. 26 mol L-1) の微調整により,すべての試験濃度において優れた移転性が得られた.

さらに関連する動画

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
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Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

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関連する実験動画

Last Updated: Sep 9, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
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Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

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  • 水酸化物と水酸化物の結合のような高濃度現象を正確に捉えました

    • 結論:

    • 戦略的なデータ選択,特に中間濃度により,化学的に類似したシステムでのMLIPの転送性が著しく向上します.
    • このアプローチは,MLIPの堅実な性能のために,多様なデータセットに関するトレーニングに計算効率の良い代替手段を提供します.
    • この結果は,電解体シミュレーションのための広く適用可能なMLIPの開発のための実践的なガイドラインを提供します.