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関連する概念動画

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Chemical Synapses01:26

Chemical Synapses

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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...
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Energy Transfer in Chemical Reactions01:16

Energy Transfer in Chemical Reactions

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Chemical reactions require sufficient energy to cause the matter to collide with enough precision and force that old chemical bonds can be broken and new ones formed. In general, kinetic energy is the form of energy powering any type of matter in motion. Imagine a person building a brick wall. The energy it takes to lift and place one brick on top of another is the kinetic energy—the energy matter possesses because of its motion. Once the wall is in place, it stores potential energy.
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Inductive Effects on Chemical Shift: Overview01:27

Inductive Effects on Chemical Shift: Overview

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The protons in unsubstituted alkanes are strongly shielded with chemical shifts below 1.8 ppm. Methine, methylene, and methyl protons appear at approximately 1.7, 1.2 and 0.7 ppm, while the proton signal from methane appears at 0.23 ppm. An electronegative substituent, such as chlorine, withdraws the electron density from the protons, increasing their chemical shift. Progressive substitution of the hydrogens in methane by chlorine shifts the proton signals increasingly downfield, to 3.05 ppm in...
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Chemical Reactions02:26

Chemical Reactions

9.8K
A balanced chemical equation provides the information of chemical formulas of the reactants and products involved in the chemical change. A reaction’s stoichiometry helps predict how much of the reactant is needed to produce the desired amount of product, or in some cases, how much product will be formed from a specific amount of the reactant.
The relative amounts of reactants and products represented in a balanced chemical equation are often referred to as stoichiometric amounts.
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Effects of Chemicals: Overview01:27

Effects of Chemicals: Overview

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Drugs, encompassing various chemical compounds from natural sources, lab synthesis, or genetic engineering, elicit different biological responses in living organisms. Some of these responses are desirable or therapeutic, while others are undesirable. The primary goal of administering a drug is to achieve a therapeutic effect, that is, to address a specific disease or health condition. Any concurrent effects outside of this therapeutic outcome are considered undesirable. These undesirable...
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Updated: Jun 14, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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クローズド・ループの転送により,人工知能は化学的な知識を得ることができます.

Nicholas H Angello1,2,3, David M Friday1,2,3, Changhyun Hwang2,3,4

  • 1Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Nature
|August 28, 2024
PubMed
まとめ
この要約は機械生成です。

クローズド・ループ・トランスファー (CLT) は,人工知能と物理ベースの学習を統合し,材料を最適化し,同時に化学の洞察を明らかにします. このアプローチは,有機エレクトロニクスの光安定性を高めるために最小限の化学空間を探索することによって,発見を加速します.

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関連する実験動画

Last Updated: Jun 14, 2025

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11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

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Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
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Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
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科学分野:

  • 材料科学
  • 化学について
  • 人工知能

背景:

  • 人工知能 (AI) によるクローズドループ実験は機能を最適化しますが,しばしばブラックボックスとして作用し,化学知識の発見を制限します.
  • 最適化とともに新しい化学的洞察を明らかにする AI の可能性はほとんど未開拓のままです

研究 の 目的:

  • 閉ループ実験を物理に基づく特徴選択と監督学習と統合し,閉ループ転送 (CLT) と呼ばれる.
  • 目的の機能の並列最適化と化学の洞察の生成を達成する.
  • 光を集めるドナー・アクセプター分子の溶液中の光安定性に影響を与える要因を調査する.

主な方法:

  • 自動合成,実験的特徴付け,物理に基づく特徴選択,監督学習を組み合わせた閉ループ転送 (CLT) を開発し,適用した.
  • 理論的な化学空間の小部分 (1.5%) を効率化のために探求した.
  • 複数の実験セットと溶媒チューニングを使用して,物理情報に基づく光安定性モデルを検証した.

主要な成果:

  • CLTは,光安定性に関する基本的な化学的洞察を成功裏に提供し,高エネルギー三重体の重要性を強調しました.
  • 化学的空間を最小限に活用して,目的の機能の重要な最適化を達成した.
  • 追加の材料システムへの応用を通じてCLTの汎用性を実証した.

結論:

  • インタプリタブル・スーパーバイザー・ラーニングを 物理に基づく機能と 閉じループの発見を組み合わせることで 素早く基本的な化学の洞察が得られます
  • CLTは,最適化と知識生成の両方のクローズドループの発見プロセスを拡張するための強力な戦略を提供します.
  • オーガニック・エレクトロニクスやその他の用途のための新しい材料の発見を促進します.