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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

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In electrical power systems, understanding the capacitance of transmission lines is fundamental for efficient operation.
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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 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.
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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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Video Experimental Relacionado

Updated: Jan 20, 2026

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El método de siembra de fase basado en IA (AI-PhaSeed): aplicaciones tempranas y análisis estadístico

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
Resumen
Este resumen es generado por máquina.

La inteligencia artificial (IA) combinada con un método novedoso de siembra de fases, AI-PhaSeed, mejora la solución de estructuras cristalográficas. Este enfoque amplía las capacidades de la IA a estructuras más grandes y condiciones desafiantes, mejorando la determinación de la estructura cristalina.

Palabras clave:
fase de IAinteligencia artificialsolución de estructura cristalinasiembra de fase

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Área de la Ciencia:

  • Cristalografía
  • Inteligencia Artificial
  • Química Computacional

Sus antecedentes:

  • Los métodos tradicionales como los métodos directos y las técnicas de Patterson apoyan la determinación de la estructura cristalográfica.
  • La inteligencia artificial (IA) se explora cada vez más por su potencial para superar las limitaciones de los enfoques convencionales de solución de estructuras.
  • Estudios recientes introdujeron la fase impulsada por IA para estructuras pequeñas y un método novedoso de siembra de fases aplicable a diversas estructuras cristalinas.

Objetivo del estudio:

  • Integrar un método novedoso de siembra de fases con una red de IA para la fase cristalográfica.
  • Extender la aplicabilidad de la solución de estructuras impulsada por IA a volúmenes de celda unitaria más grandes y condiciones experimentales desafiantes.
  • Evaluar la fiabilidad y robustez del enfoque combinado de IA y siembra de fases para la determinación de la estructura cristalina.

Principales métodos:

  • Aplicación del método de siembra de fases de Carrozzini et al. utilizando fases semilla generadas por la red de IA de Larsen et al.
  • Prueba del enfoque combinado AI-PhaSeed en estructuras cristalinas con volúmenes de celda unitaria superiores a 1000 ų.
  • Validación exhaustiva utilizando un conjunto de datos de estructuras de la Base de Datos de Cristalografía Abierta.

Principales resultados:

  • El enfoque AI-PhaSeed extendió con éxito las capacidades de la fase de IA a volúmenes de celda unitaria más grandes (>1000 ų).
  • El método demostró ser eficaz incluso en condiciones de resolución experimental limitada.
  • El enfoque combinado demostró ser una herramienta potente y fiable para resolver estructuras cristalinas complejas.

Conclusiones:

  • La estrategia AI-PhaSeed ofrece un avance significativo en la fase cristalográfica impulsada por IA.
  • Este método integrado mejora el alcance y la fiabilidad de la determinación automatizada de la estructura cristalina.
  • El estudio destaca el potencial de la IA para abordar desafíos complejos en biología estructural y ciencia de materiales.