Entropy prediction for H2 adsorption in metal-organic frameworks

Area of Science:

• Thermodynamics
• Materials Science
• Computational Chemistry

Background:

• Entropy is a key thermodynamic property linking equilibrium and non-equilibrium systems.
• Understanding entropy is crucial for practical phenomena, including gas adsorption.
• Metal-organic frameworks (MOFs) are promising for hydrogen storage.

Purpose of the Study:

• To introduce classical density functional theory (DFT) for efficient entropy prediction.
• To perform high-throughput screening of MOFs for hydrogen adsorption using DFT.
• To identify optimal hydrogen storage materials based on entropy.

Main Methods:

• Application of classical density functional theory (DFT).
• High-throughput prediction of entropy and excess entropy for H2 adsorption.
• Screening of metal-organic frameworks (MOFs).

Main Results:

• Entropy and uptake screening are equivalent at high temperatures.
• Identification of superior hydrogen storage materials via entropy screening.
• Strongest correlation observed between entropy and isosteric heat.

Conclusions:

• Classical DFT is effective for predicting entropy in H2 adsorption.
• Entropy screening is a viable method for identifying hydrogen storage materials.
• Entropy exhibits the strongest correlation with isosteric heat among tested properties.