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相关概念视频

Diffusion01:12

Diffusion

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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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Diffusion01:21

Diffusion

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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
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Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Planning Nursing Care I01:21

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The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...
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Planning Nursing Care II01:29

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A nursing care plan can present in two forms: informal and formal. Informal is a care plan for the individual use of the nurse and goals they wish to accomplish during their shift. Informal care plans are not included in the patient chart. A formal nursing care plan is a written or computerized guide that organizes patient care. It is further subdivided into two: standardized and individualized care plans. Standardized care plans are pre-populated care plans for specific patient populations,...
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Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
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DiffSyn:一种生成的扩散方法来规划材料合成.

Elton Pan1, Soonhyoung Kwon2, Sulin Liu1

  • 1Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Nature computational science
|February 2, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了DiffSyn,这是一个生成模型,可以从文献数据中预测石合成路线. 它成功指导创建一个新的UFI材料,优化晶体材料的发现.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.
  • 计算化学计算化学

背景情况:

  • 合成诸如天石之类的晶体材料是具有挑战性的,原因是复杂的结构-合成关系和庞大的实验空间.
  • 现有的方法很难在高维合成场景中导航,并有效地预测最佳条件.

研究的目的:

  • 开发一个先进的计算模型,DiffSyn,用于预测和优化热酸盐合成途径.
  • 利用大量的合成配方数据集来训练生成扩散模型.
  • 证明模型在发现和合成新型晶体材料方面的能力.

主要方法:

  • 开发了DiffSyn,这是一个基于50年文献中超过23000个氧化物合成配方训练的生成扩散模型.
  • 根据所需的石结构和有机模板对模型进行条件化,以生成可能的合成路径.
  • 利用密度函数理论 (DFT) 通过结合能量的计算来合理化预测的合成路径.

主要成果:

  • 通过有效地建模多模式结构-合成关系,DiffSyn实现了最先进的性能.
  • 该模型成功地区分了竞争阶段,并提出了最佳合成路线.
  • 使用DiffSyn生成的路径合成了一个UFI材料,产生了高Si/Al比率19.0,表明增强的热稳定性.

结论:

  • DiffSyn提供了一种强大的计算方法来加速晶体材料的发现和合成.
  • 该模型根据所需的结构和模板预测合成路线的能力显著减少了实验试验和错误.
  • 对UFI材料的成功合成验证了DiffSyn的预测准确性和推进材料科学的潜力.