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

Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

2.0K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
2.0K
Electrodeposition01:08

Electrodeposition

709
Electrodeposition is a technique used to separate an analyte from interferents by electrochemical processes. Here, the analyte is a metal ion that can be deposited on an electrode immersed in the sample solution. The electrochemical setup consists of an anode and a cathode. When an electric current is applied to the setup, oxidation occurs at the anode. At the cathode, which consists of a large metal surface, metal ions undergo reduction and deposit onto the surface.
Electrodeposition can...
709
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

526
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
526
Qualitative Analysis03:46

Qualitative Analysis

22.6K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
22.6K
Biasing of Metal-Semiconductor Junctions01:27

Biasing of Metal-Semiconductor Junctions

331
Biasing metal-semiconductor junctions involves applying a voltage across the junction. Specifically, the metal is connected to a voltage source, while the semiconductor is grounded. This technique is essential for controlling the direction and magnitude of current flow in electronic devices, including diodes, transistors, and photovoltaic cells.
In Schottky junctions, where the semiconductor is n-type, applying a positive voltage to the metal relative to the semiconductor reduces its Fermi...
331
Precipitation of Ions03:11

Precipitation of Ions

28.1K
Predicting Precipitation
The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is:
28.1K

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

Bandgap Engineering of Ga<sub>2</sub>O<sub>3</sub> by MOCVD Through Alloying with Indium.

Nanomaterials (Basel, Switzerland)·2026
Same author

Optimization of print parameters for batch and continuous manufacturing of three-dimensional (3D) printed dosage forms using artificial intelligence and machine learning.

Drug delivery and translational research·2025
Same author

Density Functional Theory Study of Iron-Oxygen Divacancies in Magnetite (Fe<sub>3</sub>O<sub>4</sub>) and Hematite (Fe<sub>2</sub>O<sub>3</sub>).

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

Structure-Property Linkage in Alloys Using Graph Neural Network and Explainable Artificial Intelligence.

Materials (Basel, Switzerland)·2025
Same author

The role of defect charge, crystal chemistry, and crystal structure on positron lifetimes of vacancies in oxides.

Journal of physics. Condensed matter : an Institute of Physics journal·2024
Same author

A new compositional microscopic degree of freedom at grain boundaries in complex compounds: a case study in spinel.

Physical chemistry chemical physics : PCCP·2024

関連する実験動画

Updated: Sep 9, 2025

3D Depth Profile Reconstruction of Segregated Impurities Using Secondary Ion Mass Spectrometry
07:10

3D Depth Profile Reconstruction of Segregated Impurities Using Secondary Ion Mass Spectrometry

Published on: April 29, 2020

1.8K

機械学習のアプローチを用いた金属/酸化物界面での溶液分離の予測

Yizhou Lu1, Blas Pedro Uberuaga2, Samrat Choudhury1

  • 1Department of Mechanical Engineering, University of Mississippi, University, MS 38677, USA.

Molecules (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究は,密度関数理論 (DFT) と機械学習 (ML) を組み合わせて,金属/酸化物界面での溶液分離を予測します. MLアプローチは,分離行動の予測に高い精度を維持しながら,計算コストを大幅に削減します.

キーワード:
密度関数理論機械学習金属/酸化物との接点溶質分離行動

さらに関連する動画

A Method to Manipulate Surface Tension of a Liquid Metal via Surface Oxidation and Reduction
09:20

A Method to Manipulate Surface Tension of a Liquid Metal via Surface Oxidation and Reduction

Published on: January 26, 2016

15.5K
Growth and Electrostatic/chemical Properties of Metal/LaAlO3/SrTiO3 Heterostructures
11:54

Growth and Electrostatic/chemical Properties of Metal/LaAlO3/SrTiO3 Heterostructures

Published on: February 8, 2018

10.4K

関連する実験動画

Last Updated: Sep 9, 2025

3D Depth Profile Reconstruction of Segregated Impurities Using Secondary Ion Mass Spectrometry
07:10

3D Depth Profile Reconstruction of Segregated Impurities Using Secondary Ion Mass Spectrometry

Published on: April 29, 2020

1.8K
A Method to Manipulate Surface Tension of a Liquid Metal via Surface Oxidation and Reduction
09:20

A Method to Manipulate Surface Tension of a Liquid Metal via Surface Oxidation and Reduction

Published on: January 26, 2016

15.5K
Growth and Electrostatic/chemical Properties of Metal/LaAlO3/SrTiO3 Heterostructures
11:54

Growth and Electrostatic/chemical Properties of Metal/LaAlO3/SrTiO3 Heterostructures

Published on: February 8, 2018

10.4K

科学分野:

  • 材料科学
  • コンピュータ材料科学
  • 表面科学

背景:

  • 金属と酸化物の接点における原子構造と化学は,材料の性質を決定する.
  • DFT を使用した不適合変位を持つ半一貫インターフェースの研究は,原子数が多いため,計算が密集しています.

研究 の 目的:

  • Fe/Y2O3インターフェイスで溶液分離の振る舞いを調査するために,原子炉のカバーのモデル.
  • 溶液分離を予測するためのDFT計算と組み合わせた機械学習 (ML) のアプローチを開発し,検証する.
  • 溶液分離に影響を与える重要な要因を特定し,計算コストを削減する.

主な方法:

  • 密度関数理論 (DFT) を用いて分離エネルギー (ESeg) を計算した.
  • DFTから派生したESegデータを用いた機械学習 (ML) モデルを開発し,訓練した.
  • 金属/酸化物界面での溶液分離に影響を与える化学的および幾何学的要因を調査した.

主要な成果:

  • 溶液分離に影響を与える主要な化学的および幾何学的要因とそのESegに対する競争的効果を特定した.
  • MLモデルを使用して特定のFe/Y2O3インターフェースで溶液分離を予測する高い精度を達成しました.
  • 異なる Fe/Y2O3 インターフェース方向での分離を予測する ML モデルの能力が実証され,計算コストは DFT よりも 45 倍以上削減されました.

結論:

  • 組み合わせたDFT-MLアプローチは,金属/酸化物界面での溶液分離を正確に予測します.
  • MLモデルは複雑なインターフェイスを研究する計算コストを大幅に削減します.
  • この方法論は 核のカバーのような用途の材料を理解し 設計するための強力なツールです