Researchers from the University of Minnesota and Rice University have developed a sophisticated computational screening program to identify thousands of zeolites in the virtual world and assess their performance in specific applications.
Source: University of Minnesota
A research team led by the University of Minnesota, utilizing the world's largest supercomputer, identified a series of materials with the potential to enhance the production of ethanol and petroleum products. This discovery is expected to boost industrial production efficiency and save costs.
The University of Minnesota has two patents pending and hopes to obtain these technology licenses. The research findings were published in the journal Nature Communications.
Zeolite materials, used in petrochemical and biofuel processing, act as molecular sieves to classify, filter, and capture compounds. They also catalyze the necessary chemical reactions for the production and concentration of fuels and raw materials from renewable petroleum resources. There are over 2,000 known types of zeolites, with predictions of hundreds of thousands of variations. The key to enhancing biofuel and petrochemical processing is seeking the best type of zeolite.
Unfortunately, synthesizing new zeolites in a laboratory is a long and complex process, with each synthesis potentially taking several months. Analyzing all known and predicted structures would take dozens of years. Researchers from the University of Minnesota and Rice University took a different approach, developing a sophisticated computational screening program that virtually filters thousands of zeolites and identifies their performance in specific applications. This reduces the necessity for laboratory testing and the risk of experimental errors.
Professor Ilja Siepmann, a chemistry professor at the University of Minnesota and the principal investigator of the Minnesota Nanoporous Materials Genomics Center (funded by the U.S. Department of Energy), said, "Using the supercomputer at Argonne National Laboratory, simulation calculations can condense decades of research in the lab into a total of about one day of computation."
Predicting zeolite properties requires high computational power, efficient algorithms, and precise descriptions of intermolecular interactions. The team's software utilizes the supercomputer Mira, which boasts nearly 800,000 processors. The computing power of Mira in a single day is equivalent to a single-processor computer running for ten million hours. The calculations are primarily used to determine two complex issues in zeolites.
The first problem addressed by researchers was the multi-step purification process of ethanol in the current production of biofuels, with the final step being the separation of ethanol from water. They discovered several all-silica zeolites with excellent performance, which contain pores and channels capable of accommodating ethanol molecules while preventing hydrogen bonding with water molecules. One such zeolite, prepared and tested in the laboratory of Professor Michael Tsapatsis from the University of Minnesota's Department of Chemical Engineering and Materials Science, was found to effectively transform the ethanol/water separation process from a multi-stage distillation process to a single-stage adsorption process. Similar zeolite materials have the potential to be applied in separation processes in biofuels and petrochemicals.
The second question is, researchers aim to concentrate petroleum compounds into higher-value lubricating oils and diesel products. They have identified certain zeolite frameworks that are expected to enhance the dewaxing process, converting linear long-chain molecules into a few branched alkane molecules, thereby affecting the cold point and viscosity of lubricants and other petroleum products.
Collaborator on the paper, Department Chair of Bioengineering at Rice University, and Professor of Physics and Astronomy Michael Deem stated, "We are looking for materials with intriguing properties and are achieving these properties here."
