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相关概念视频

Open and closed-loop control systems01:17

Open and closed-loop control systems

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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Control Systems01:10

Control Systems

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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相关实验视频

Updated: Sep 17, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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实时实验理论闭环交互用于自主材料科学.

Haotong Liang1, Chuangye Wang1, Heshan Yu1

  • 1Department of Materials Science and Engineering, University of Maryland, College Park, MD 20742, USA.

Science advances
|July 2, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种自主材料搜索引擎 (AMASE),它使用自动驾驶的实验周期和计算预测来有效地进行材料探索. AMASE显著减少了绘制相位图所需的实验,证明了无人自主操作.

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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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相关实验视频

Last Updated: Sep 17, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

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Interactive and Visualized Online Experimentation System for Engineering Education and Research
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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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科学领域:

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

背景情况:

  • 科学方法依赖于理论预测和实验验证的代周期.
  • 关闭实验和理论之间的循环通常是由于计算或时间限制而具有挑战性.
  • 需要自主系统来加速材料的发现和表征.

研究的目的:

  • 开发和演示一种自主材料搜索引擎 (AMASE),用于自动驾驶,循环材料探索.
  • 应用AMASE来快速绘制温度组合相位图.
  • 展示实验和计算预测之间的实时,自主和代交互,而不需要人类干预.

主要方法:

  • 开发了AMASE,这是一个集成实验和计算工作流的自主系统.
  • 使用CALPHAD (阶段图计算) 进行实时阶段图预测.
  • 利用AMASE指导在薄膜中实验确定相位边界.

主要成果:

  • AMASE成功地和自主地绘制了Sn-Bi薄膜系统的eutectic相图.
  • 实现了相位图确定所需的实验数量减少六倍.
  • 通过一个自我引导的运动,证明了精确的相位边界确定,覆盖了相位空间的一小部分.

结论:

  • 通过连续的实验理论循环,AMASE使高效和自主材料探索成为可能.
  • 这种方法显著加快了相位图映射的过程.
  • 自主系统代表了材料发现和表征的范式转变.