Metal organic frameworks (MOFs) are crystalline materials composed of metal complexes that are linked by organic ligands to create highly porous frameworks. They appeared as fascinatingly promising materials to be used as adsorbents and membranes for gas separations due to the large variety in their pore sizes, shapes, and chemistries. Over 100,000 MOFs with different chemical compositions have been reported to date and the number is very rapidly increasing. Existence of large number of MOFs creates excellent opportunities to develop energy-efficient gas separation technologies. At the same time, this large materials space imposes a challenge for the material search. This project aims to accelerate material search for CO2 capture and H2 recovery by developing comprehensive computational approaches and applying them to thousands of MOFs to identify the best adsorbents and membranes. With this aim, we performed high-throughput molecular simulations to assess adsorption and diffusion properties of gas mixtures in MOFs and then used this molecular-level information to predict adsorbent and membrane properties of MOFs for various different gas separations. We specifically focused on CO2/CH4, CO2/N2, CO2/H2, CH4/H2 and N2/H2 separations given their environmental, industrial, social and economic importance. CO2/CH4 separation is known as natural gas purification, it has great energetic and economical importance because CO2 reduces the energy content of the natural gas. CO2/N2 separation is known as flue gas separation, it has an environmental and social importance because ~40% of the total CO2 released to the atmosphere comes from flue gas emission. Identification of materials that can achieve CO2/N2 separation with high performance will play a great role in reducing the global warming and related environmental and health problems. Separation of H2 from CO2, CH4 and N2 is important since H2 is used as a clean energy carrier for stationary power and transportation markets. The overall objectives of this project are as follows: (a) to build a complete and accurate MOF library using computational approaches, (b) to perform molecular simulations to compute adsorption and diffusion of gas mixtures in MOFs, (c) to evaluate gas separation performance of MOF adsorbents and membranes, (d) to identify the best adsorbent and membrane materials by ranking MOFs based on diverse metrics, (e) to reveal structure-performance relations for the best performing MOFs, (f) to computationally design of new MOFs with exceptional gas separation performance and experimentally test these new materials under practical operating conditions.