KAUST research scientist Giuseppe Genduso has received the 2020 NAMS Young Membrane Scientist Award. Genduso's research at the KAUST Advanced Membranes & Porous Materials Center focuses on understanding polymer membrane behavior for fluid separation. His work explores the sorption and diffusion of gases in advanced polymer materials. Why it matters: This award recognizes Genduso's contributions to membrane technology, which holds promise for energy-efficient fluid separations and reducing greenhouse gas emissions in the chemical industry.
KAUST Professor Ingo Pinnau has been named a 2020 Fellow of the North American Membrane Society (NAMS). Pinnau's research focuses on high-performance membranes for energy-intensive gas and liquid separations. He has published over 170 peer-reviewed papers and holds 46 granted U.S. patents. Why it matters: Recognition of KAUST faculty in this area highlights the university's contribution to advanced materials research, which is crucial for energy and sustainability initiatives in Saudi Arabia and globally.
KAUST Vice Provost Suzana Nunes has been appointed as an Honorary Member of the European Membrane Society (EMS). This appointment recognizes Nunes' contributions to education, science, and technology in the field of membranes. Nunes has been a KAUST professor since 2009, focusing on polymeric materials for membrane applications. Why it matters: The recognition highlights KAUST's contributions to advanced materials science and engineering, enhancing its reputation as a research hub.
KAUST researchers have developed polytriazole membranes for energy-efficient crude oil fractionation, as detailed in a recent Science Magazine paper. Led by Dr. Suzana Nunes and Dr. Stefan Chisca, the team created membranes that can withstand harsh industrial conditions like high temperatures and organic solvents. The membranes offer a low-carbon footprint alternative to traditional separation techniques like distillation. Why it matters: This innovation could significantly reduce energy consumption and promote a circular carbon economy in the petrochemical industry within the GCC region and beyond.
KAUST researchers have developed an ultrathin polymer-based membrane for water desalination with high water flux and salt rejection. The membrane utilizes two-dimensional porous carbonaceous materials with subnanometer-sized molecular transport channels. The membrane outperformed existing desalination systems using carbon nanotubes and graphene in forward and reverse osmosis. Why it matters: This innovation offers a promising alternative for efficient and cost-effective desalination, addressing critical water scarcity challenges in the region and beyond.
KAUST alumna Jamaliah Aburabi’e's patent-pending membrane technology was highlighted in the North American Membrane Society's (NAMS) magazine. The patent (2017/0225127), developed with advisor Professor Klaus-Viktor Peinemann, describes a new method for preparing anisotropic/cross-linked membranes. The method reduces steps in membrane preparation, making it energy-efficient and allowing customization of the membrane's selective layer. Why it matters: This recognition highlights the impact of KAUST research in advanced materials and separation technologies, showcasing innovations with potential for energy efficiency and customization in industrial applications.
KAUST hosted the Advanced Membranes and Porous Materials Center Research Conference from February 20-23. The conference focused on new materials for energy-intensive industrial separations. Experts, students, and researchers participated in presentations and poster sessions. Why it matters: Conferences like this promote collaboration and knowledge sharing in materials science, which is crucial for developing sustainable technologies in energy and other sectors within Saudi Arabia.
KAUST researchers led by Dr. Gyorgy Szekely are developing selective porous membranes to replace energy-intensive separation techniques like distillation in the chemical manufacturing industry. These membrane processes could reduce energy consumption by up to 90% compared to traditional methods. Szekely's team uses AI to optimize separation materials by identifying patterns in previously fragmented data. Why it matters: This research has the potential to significantly reduce the environmental impact of chemical manufacturing, a sector known for its high energy consumption.