Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Optimal Foraging00:48

Optimal Foraging

12.2K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
12.2K
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.6K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.6K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

8.5K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
8.5K
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

11.9K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
11.9K
Drug Discovery: Overview01:26

Drug Discovery: Overview

8.1K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
8.1K
The Availability Heuristic01:08

The Availability Heuristic

6.0K
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
6.0K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Decoding MnO<sub>2</sub> redox chemistry from mechanistic ambiguity to design principles for aqueous Zn-ion batteries.

Nature communications·2026
Same author

Co<sub>1</sub>/Ru Single-Atom Alloy Catalyst for Sustainable Polypropylene Hydrogenolysis to Long-Chain Liquid Products.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Unmasking the intrinsic mechanistic limits of manganese Prussian blue analogues in aqueous Zn-ion batteries.

Chemical science·2026
Same author

Ostwald Ripening of Liquid-Metal-Grown Micropattern-Confined Crystals by Solid-Phase Diffusion.

Nano letters·2026
Same author

Gallium in liquid state shows nuclease-mimicking activity.

Nature communications·2026
Same author

RNA Hairpin Synthesis by RNase-Catalyzed Dynamic Covalent Chemistry.

Chembiochem : a European journal of chemical biology·2026
Same journal

5-Year advances in semisacrificial metal foam-derived materials for energy storage and electrocatalysis.

Nanoscale·2026
Same journal

Application of nanogenerators in oral and respiratory systems: a review.

Nanoscale·2026
Same journal

High-efficiency BCN quantum dots with enhanced carrier kinetics enabled by synergistic control of the atomic ratio and interface engineering.

Nanoscale·2026
Same journal

Fluorescence imaging for liver diseases: probe design strategies and diagnostic applications.

Nanoscale·2026
Same journal

Robust and well-structured graphene oxide membranes crosslinked by phenylboronic acid for efficient heavy metal ion sieving.

Nanoscale·2026
Same journal

Lasing characteristics and stress-tuning effects in GaN beam microcavities.

Nanoscale·2026
查看所有相关文章

相关实验视频

Updated: Jul 26, 2025

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

Author Spotlight: Accelerating Discovery in Microporous Material Chemistry

Published on: October 6, 2023

3.6K

贝叶斯优化以实现高效的材料发现:一篇小小的回顾

Yimeng Jin1, Priyank V Kumar1

  • 1School of Chemical Engineering, UNSW Sydney, Kensington, NSW 2052, Australia. priyank.kumar@unsw.edu.au.

Nanoscale
|June 20, 2023
PubMed
概括
此摘要是机器生成的。

贝叶斯优化 (BO) 通过高效地导航复杂的搜索空间来加速材料发现. 本综述将算法进步与材料科学应用联系起来,解决自主实验室对BO的关键挑战.

更多相关视频

Polymer Microarrays for High Throughput Discovery of Biomaterials
13:37

Polymer Microarrays for High Throughput Discovery of Biomaterials

Published on: January 25, 2012

14.6K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

相关实验视频

Last Updated: Jul 26, 2025

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

Author Spotlight: Accelerating Discovery in Microporous Material Chemistry

Published on: October 6, 2023

3.6K
Polymer Microarrays for High Throughput Discovery of Biomaterials
13:37

Polymer Microarrays for High Throughput Discovery of Biomaterials

Published on: January 25, 2012

14.6K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 贝叶斯优化 (BO) 越来越多地用于材料发现,因为它的效率.
  • 现有的BO方法面临诸如高维度,混合搜索空间,多目标问题和多真实性数据等挑战.
  • 对材料发现的全面BO框架仍然是一个开放的研究领域.

研究的目的:

  • 审查材料发现中贝叶斯优化的当前状态.
  • 将BO中的算法进步与实际的材料科学应用联系起来.
  • 确定和讨论开放的算法挑战和潜在的解决方案.

主要方法:

  • 关于贝叶斯优化技术及其在材料科学中的应用的文献综述.
  • 分析高维,混合,多目标和多真实性优化的挑战.
  • 各种开源贝叶斯优化软件包的比较.
  • 对三个材料设计问题的案例研究说明了BO的实用性.

主要成果:

  • 贝叶斯优化为材料发现提供了样本效率,灵活性和多功能性.
  • 确定并讨论了在材料科学中应用BO的关键挑战.
  • 最近的材料应用证明了先进的BO算法的潜力.
  • 提供了开源BO工具的比较分析.

结论:

  • 解决已识别的挑战对于在材料发现中推进BO至关重要.
  • 机器人辅助的自主实验室是一个有前途的未来方向.
  • 需要进一步的研究来开发全面的BO框架来解决复杂的材料设计问题.