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Phase Diagrams02:39

Phase Diagrams

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A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
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Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
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Inductance: Single-Phase And Three-Phase Line01:28

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Understanding the inductance of transmission lines is crucial for efficient design and operation in electrical power systems. This discussion delves into the inductance characteristics of single-phase two-wire and three-phase three-wire transmission lines with equal phase spacing.
Single-Phase Two-Wire Line:
A single-phase line consists of two solid cylindrical conductors, denoted as x and y. Each conductor carries phasor currents ix and iy, respectively. Given that the sum of these currents is...
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Capacitance: Single-Phase And Three-Phase Line01:25

Capacitance: Single-Phase And Three-Phase Line

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In electrical power systems, understanding the capacitance of transmission lines is fundamental for efficient operation.
Single-Phase Lines
Consider a single-phase, two-wire transmission line with equal phase spacing energized by a voltage source. One conductor carries a uniform positive charge, while the other carries an equal negative charge. The capacitance C of the line can be derived from the voltage V between the conductors. For a one-meter section of the line, the capacitance is given...
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Phase Changes01:19

Phase Changes

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Phase transitions play an important theoretical and practical role in the study of heat flow. In melting or fusion, a solid turns into a liquid; the opposite process is freezing. In evaporation, a liquid turns into a gas; the opposite process is condensation.
A substance melts or freezes at a temperature called its melting point and boils or condenses at its boiling point. These temperatures depend on pressure. High pressure favors the denser form of the substance, so typically, high pressure...
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Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

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Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
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Updated: Jan 20, 2026

A Pipette-Tip Based Method for Seeding Cells to Droplet Microfluidic Platforms
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The AI-based phase-seeding (AI-PhaSeed) method: early applications and statistical analysis.

Benedetta Carrozzini1, Francesca Fedele1, Anna Moliterni1

  • 1Institute of Crystallography National Research Council via Amendola 122/o Bari 70126 Italy.

Journal of Applied Crystallography
|January 19, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) combined with a novel phase-seeding method, AI-PhaSeed, enhances crystallographic structure solution. This approach extends AI capabilities to larger structures and challenging conditions, improving crystal structure determination.

Keywords:
AI phasingartificial intelligencecrystal structure solutionphase seeding

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Area of Science:

  • Crystallography
  • Artificial Intelligence
  • Computational Chemistry

Background:

  • Traditional methods like direct methods and Patterson techniques support crystallographic structure determination.
  • Artificial intelligence (AI) is increasingly explored for its potential in overcoming limitations of conventional structure solution approaches.
  • Recent studies introduced AI-driven phasing for small structures and a novel phase-seeding method applicable to diverse crystal structures.

Purpose of the Study:

  • To integrate a novel phase-seeding method with an AI network for crystallographic phasing.
  • To extend the applicability of AI-driven structure solution to larger unit-cell volumes and challenging experimental conditions.
  • To evaluate the reliability and robustness of the combined AI and phase-seeding approach for crystal structure determination.

Main Methods:

  • Application of the Carrozzini et al. phase-seeding method using seed phases generated by the Larsen et al. AI network.
  • Testing the combined AI-PhaSeed approach on crystal structures with unit-cell volumes exceeding 1000 ų.
  • Extensive validation using a dataset of structures from the Crystallography Open Database.

Main Results:

  • The AI-PhaSeed approach successfully extended the capabilities of AI phasing to larger unit-cell volumes (>1000 ų).
  • The method demonstrated effectiveness even under conditions of limited experimental resolution.
  • The combined approach proved to be a powerful and reliable tool for solving complex crystal structures.

Conclusions:

  • The AI-PhaSeed strategy offers a significant advancement in AI-driven crystallographic phasing.
  • This integrated method enhances the scope and reliability of automated crystal structure determination.
  • The study highlights the potential of AI in addressing complex challenges in structural biology and materials science.