Tian Lan1, Qi An1

  • 1Department of Chemical and Materials Engineering, University of Nevada-Reno, Reno, Nevada 89577, United States.

概括

本研究引入了一种结合深度强化学习 (DRL) 和密度函数理论 (DFT) 的人工智能框架,以自动发现复杂的催化反应途径. 这种新的方法成功地确定了哈伯-博斯工艺的更高效途径,降低了能源障碍.

相关概念视频

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Introduction to Mechanisms of Enzyme Catalysis

For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes...
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Reinforcement01:23

Reinforcement

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Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
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Observational Learning01:12

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Multi-Step Reactions02:31

Multi-Step Reactions

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Introduction to Learning01:18

Introduction to Learning

Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
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