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

Solvents01:12

Solvents

58.5K
A solvent is a substance, most often a liquid, that can dissolve other substances. Here, the substance being dissolved is called a solute. When a solvent and a solute combine, they form a solution - a homogenous mixture of both the solvent and the solute. Water is a universal biological solvent. Its polar structure allows it to dissolve many other polar compounds. The ability of water to dissolve is governed by a balance between water molecules binding to each other and binding to the solute.
A...
58.5K
Ions as Acids and Bases02:54

Ions as Acids and Bases

22.8K
Salts with Acidic Ions
Salts are ionic compounds composed of cations and anions, either of which may be capable of undergoing an acid or base ionization reaction with water. Aqueous salt solutions, therefore, may be acidic, basic, or neutral, depending on the relative acid-base strengths of the salt’s constituent ions. For example, dissolving the ammonium chloride in water results in its dissociation, as described by the equation:
22.8K
SN1 Reaction: Mechanism02:25

SN1 Reaction: Mechanism

11.8K
Kinetic studies of ionization of a tertiary halide in a protic solvent suggest that only the substrate participates in the rate-determining step (slow step). The nucleophile is involved only after the slowest step. The SN1 reaction takes place in a multiple-step mechanism. 
Firstly, the haloalkane ionizes to generate a carbocation intermediate and a halide ion. This heterolytic cleavage is highly endothermic with large activation energy. The ionization of the substrate, facilitated by a...
11.8K
Nucleophilic Aromatic Substitution of Aryldiazonium Salts: Aromatic SN101:14

Nucleophilic Aromatic Substitution of Aryldiazonium Salts: Aromatic SN1

2.1K
Treating arylamines with nitrous acid gives aryldiazonium salts that are effective substrates in nucleophilic aromatic substitution reactions. The diazonio group in these salts can be easily displaced by different nucleophiles, yielding a wide variety of substituted benzenes. The leaving group departs as nitrogen gas, and this easy elimination is the driving force for the substitution reaction.
In the Sandmeyer reaction, for example, the diazonio group is replaced by a chloro, bromo,...
2.1K
Solubility Equilibria: Overview01:09

Solubility Equilibria: Overview

1.8K
When a substance such as sodium chloride is added to water, it dissolves, forming an aqueous solution. The extent of dissolution is called solubility. The process of dissolution can exist in equilibrium, just like other chemical processes. Solubility equilibria are also called precipitation equilibria because the process of solubility can be reversible. The reverse of the solubility process is called precipitation.
Solubility is important in biological and environmental processes. A notable...
1.8K
Chemical Shift: Internal References and Solvent Effects01:17

Chemical Shift: Internal References and Solvent Effects

1.5K
In an NMR sample, precise measurement of the absolute absorption frequencies of nuclei is difficult. A standard internal reference compound is added, and the frequency difference between the reference signal and sample signals is measured.
The internal reference compound generally used in NMR spectroscopy is tetramethylsilane (TMS). TMS is preferred because it is chemically inert, soluble in NMR solvents, and easily removable. Also, the highly shielded methyl protons in TMS yield an intense...
1.5K

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

Manipulating electrolyte solvation structures to build high-voltage concentration batteries for efficient energy storage.

Nature communications·2026
Same author

Rethinking peptide developability with sequence-only models: interpretable screening of microplastic-binding peptides with gated query pooling.

Chemical science·2026
Same author

Can Transcontinental Corridors Bridge Climate Sustainability and Energy Security?

Environmental science & technology·2026
Same author

Bridging electron microscopy and materials analysis with an autonomous agentic platform.

Science advances·2026
Same author

Sustainable PFAS Removal from Electronics Wastewater through a Cost-Health Trade-Off Framework.

Environmental science & technology·2026
Same author

Biochar from Livestock Waste: A Pathway to Sustainable Agriculture and Climate Change Mitigation.

Environmental science & technology·2026
Same journal

Computing inspired by the brain: a journey from algorithms to organoids.

Nature computational science·2026
Same journal

Systematic bottom-up coarse-graining of hydrated excess proton transport across scales.

Nature computational science·2026
Same journal

Gaining biological insights through supervised data visualization.

Nature computational science·2026
Same journal

The inequalities of GPU access.

Nature computational science·2026
Same journal

Social technologies need societal alignment.

Nature computational science·2026
Same journal

The Quantum Optimization Benchmarking Library.

Nature computational science·2026
関連記事をすべて見る

関連する実験動画

Updated: May 1, 2026

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

9.3K

塩溶剤化学のダイナミック・ルーティング・ガイデッド・インタプリタブル・フレームワーク

Zhilong Wang1,2,3, Fengqi You4,5,6

  • 1Cornell University AI for Science Institute, Cornell University, Ithaca, NY, USA.

Nature computational science
|February 19, 2026
PubMed
まとめ
この要約は機械生成です。

私たちは,電解質の塩溶剤化学をモデル化するためのフレームワークであるSCANを開発しました. SCANはイオン伝導性を正確に予測し,予測を65.3%改善し,高性能電解質の発見を可能にします.

さらに関連する動画

Author Spotlight: Accelerating Discovery in Microporous Material Chemistry
07:20

Author Spotlight: Accelerating Discovery in Microporous Material Chemistry

Published on: October 6, 2023

4.2K
Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
05:37

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization

Published on: August 22, 2025

779

関連する実験動画

Last Updated: May 1, 2026

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

9.3K
Author Spotlight: Accelerating Discovery in Microporous Material Chemistry
07:20

Author Spotlight: Accelerating Discovery in Microporous Material Chemistry

Published on: October 6, 2023

4.2K
Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
05:37

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization

Published on: August 22, 2025

779

科学分野:

  • 電気化学 電気化学について
  • 材料科学 材料科学とは
  • コンピューティング・ケミストリー

背景:

  • 塩溶媒化学は,電化学システムにとって極めて重要であり,イオン伝導性などの性質に影響を与えます.
  • 最適な電解質の設計は,膨大な化学空間と限られたデータのために困難です.
  • 既存のモデルは,稀少で不均衡なデータと複雑な構造-行動関係で苦労しています.

研究 の 目的:

  • 塩溶剤化学のモデル化と解釈のための堅牢なフレームワーク (SCAN) を開発する.
  • 非水性電解質のイオン伝導性を正確に予測するために.
  • 導電性を支配する要因に関する化学的洞察を提供するため.

主な方法:

  • 塩溶剤化学のためのダイナミック・ルーティング・ガイデッド・フレームワークであるSCANを開発した.
  • SCANを非水性電解質に適用し,長尾データ分布を処理しました.
  • 統合グラデント解離,シンボリック回帰,および解釈のための量子化学計算.

主要な成果:

  • ベンチマーク伝導率予測誤差0.372 mS cm−1を達成し,ベースラインより65.3%減少した.
  • 1150万件以上の塩溶剤システムの伝導性アトラスを作成しました.
  • トップ予測候補の81.08%の成功率で検証されたSCANで,電解質の導電性は>20 mS cm−1である.

結論:

  • SCANは,複雑な塩溶剤相互作用を効果的にモデル化し,イオン伝導性を高精度で予測します.
  • このフレームワークは,電気化学アプリケーションのための新しい電解質の発見を促進します.
  • SCANは,分子柔軟性や導電性を影響するイオン溶媒相互作用に関する貴重な化学的洞察を提供します.