AIMC Journal:
ACS materials Au

Showing 1 to 3 of 3 articles

Molecular Modeling-Based Machine Learning for Accurate Prediction of Gas Diffusivity and Permeability in Metal-Organic Frameworks.

ACS materials Au
Gas diffusion determines the performance of metal-organic frameworks (MOFs) in various practical applications, including membrane-based separations, yet its experimental measurement is challenging. We presented an efficient computational framework th...

AI-Accelerated Discovery of Electrocatalyst Materials.

ACS materials Au
The rational exploration and design of high-performance, stable electrocatalysts are crucial for efficient renewable energy storage, conversion, and utilization. Artificial intelligence (AI) is revolutionizing this field by significantly reducing the...

Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications.

ACS materials Au
Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing integration of machine learning in 2D materials fo...