对于异质催化物的不变分子表示.
Jawad Chowdhury1, Charles Fricke2, Olajide Bamidele2
1Department of Computer Science, University of North Carolina at Charlotte, Charlotte, North Carolina 28223, United States.
这项研究引入了一种新的机器学习方法,使用不变分子表示来准确预测催化剂吸附能量. 这种方法显著改善了传统的密度函数理论对异质催化剂开发的计算.
科学领域:
- 计算化学是一种计算化学.
- 材料科学是一种材料科学.
- 机器学习是机器学习.
背景情况:
- 催化剂选对于化学过程至关重要.
- 密度函数理论 (DFT) 是广泛使用的,但在计算上昂贵.
- 预测复杂化学物质的吸附能量是一项挑战.
研究的目的:
- 开发一种新的机器学习 (ML) 方法来预测吸附能量.
- 为了提高准确性,利用不变分子表示 (IMRs).
- 为了克服传统的DFT方法的计算成本和局限性.
主要方法:
- 为反应中间体提取的分子指纹.
- 在培训中使用罗神经网络.
- 在多个DFT函数中学习了不变分子表示 (IMR).
主要成果:
- IMR方法在预测吸附能量的方面表现出卓越的性能.
- 在各种DFT函数中实现了最小的平均绝对误差 (MAE) (例如,BEEF-vdW的0.10 eV).
- 在催化剂表面对甲脱的验证有效性.
结论:
- 拟议的ML范式为预测吸附能提供了一种有效,强大和可靠的方法.
- 通过语网络学习的IMR显著提高了预测准确性.
- 这种方法加速了异质催化剂的发现和开发.
更多相关视频
08:25Development of Heterogeneous Enantioselective Catalysts using Chiral Metal-Organic Frameworks MOFs
Published on: January 17, 2020
12:08Catalytic Reactions at Amine-Stabilized and Ligand-Free Platinum Nanoparticles Supported on Titania During Hydrogenation of Alkenes and Aldehydes
Published on: June 24, 2022
相关概念视频
Catalysis
Reduction of Alkenes: Asymmetric Catalytic Hydrogenation
The metal catalyst used can be either heterogeneous or homogeneous. When hydrogenation of an alkene generates a chiral center, a pair of enantiomeric products is expected to form. However, an enantiomeric excess of one of the products can be facilitated using an enantioselective reaction or an...
Introduction to Mechanisms of Enzyme Catalysis
Reduction of Alkenes: Catalytic Hydrogenation
Metals like palladium, platinum, and nickel are commonly used in their solid forms — fine powder on an inert surface. As these catalysts remain insoluble in the reaction mixture, they are referred to as heterogeneous catalysts.
The hydrogenation process takes place on the...
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
Regioselectivity and Stereochemistry of Acid-Catalyzed Hydration
