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Videos de Conceptos Relacionados

Motor Units00:46

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A motor unit consists of two main components: a single efferent motor neuron (i.e., a neuron that carries impulses away from the central nervous system) and all of the muscle fibers it innervates. The motor neuron may innervate multiple muscle fibers, which are single cells, but only one motor neuron innervates a single muscle fiber.
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Power Expended by a Constant Force00:57

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The relationship between work done and the time taken to do it can be explained using the concept of power. For example, several sprinters in a race may have the same velocity when they reach the finish line, therefore doing the same amount of work, but the winner does it in the least amount of time. Thus, power is defined as the rate of doing work. Since work can vary as a function of time, the average power is defined as the work done during a time interval, divided by the time interval.
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Two-Dimensional Force System01:20

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A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:
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Three-Dimensional Force System01:30

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In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
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Motor Units01:13

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The motor unit is a fundamental component of the neuromuscular system and plays a crucial role in coordinating muscle contractions. It consists of a somatic motor neuron, which connects and controls multiple skeletal muscle fibers, forming a single functional segment. The axon of the motor neuron branches out and establishes synaptic connections known as neuromuscular junctions with individual muscle fibers within the motor unit.
Motor units come in different sizes, with smaller units...
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Motor Unit Stimulation01:20

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When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
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Video Experimental Relacionado

Updated: May 2, 2026

Modeling and Experimental Analysis of the Single-Shaft Coaxial Motor-Pump Assembly in Electrohydrostatic Actuators
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Dinámica Molecular de Estado Excitado Semiempírica de Alto Rendimiento Potenciada por Unidades de Procesamiento

Vishikh Athavale1, Maksim Kulichenko1, Sebastian Fernandez-Alberti2

  • 1Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.

The journal of physical chemistry letters
|February 19, 2026
PubMed
Resumen

Este estudio presenta PYSEQM, un motor acelerado por GPU para simulaciones de dinámica molecular de estado excitado (ESMD). Permite simulaciones eficientes a largo plazo de sistemas moleculares y cálculo de espectros utilizando la integración de aprendizaje automático.

Palabras clave:
dinámica molecular de estado excitadoGPUPYSEQMcálculo de espectrosaprendizaje automáticoquímica cuánticaquímica computacionalespectroscopía

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Last Updated: May 2, 2026

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Área de la Ciencia:

  • Química Cuántica
  • Química Computacional
  • Espectroscopía

Sus antecedentes:

  • La dinámica molecular de estado excitado (ESMD) es crucial para comprender los procesos fotoquímicos.
  • La simulación de trayectorias largas y grandes conjuntos para estados excitados requiere muchos recursos computacionales.
  • Los métodos existentes a menudo luchan con la eficiencia y la escalabilidad para sistemas complejos.

Objetivo del estudio:

  • Presentar PYSEQM, un motor acelerado por GPU para una dinámica molecular de estado excitado eficiente.
  • Implementar y validar un esquema de dinámica molecular de Born-Oppenheimer de estado excitado de Lagrangiano extendido (XL-ESMD).
  • Demostrar la capacidad de la plataforma para calcular propiedades espectroscópicas y su potencial para la integración de aprendizaje automático.

Principales métodos:

  • Se desarrolló un módulo de dinámica molecular de Born-Oppenheimer de estado excitado (BOMD) dentro del motor PYSEQM utilizando PyTorch.
  • Se implementó un esquema de BOMD de estado excitado de Lagrangiano extendido (XL-ESMD) para mejorar la eficiencia y la convergencia.
  • Se utilizó la aceleración de GPU y la ejecución por lotes para simulaciones de alto rendimiento.
  • Se propagaron trayectorias en estados fundamentales y excitados para calcular espectros de absorción, emisión e infrarrojos.

Principales resultados:

  • Se logró una simulación eficiente de trayectorias largas y grandes conjuntos estadísticos en una sola GPU.
  • Se demostró una escalabilidad fluida desde moléculas pequeñas hasta un dendrímero de 900 átomos.
  • El esquema XL-ESMD proporcionó espectros precisos a un costo computacional significativamente reducido.
  • La base PyTorch de PYSEQM permite la diferenciación automática, el procesamiento por lotes de GPU y la integración de modelos de ML.

Conclusiones:

  • PYSEQM proporciona una plataforma práctica y eficiente para simulaciones de dinámica molecular de estado excitado.
  • El esquema XL-ESMD es eficaz para la BOMD de estado excitado rentable.
  • La plataforma facilita la dinámica aumentada por aprendizaje automático y la modelización no adiabática impulsada por datos en el futuro.