It’s been a pleasure to be part of the European Commission’s E-TANDEM project under the Horizon Europe program. If you’re interested in our contribution, read the post and interview below. 🚀 Our first joint publication about membranes for e-fuels is on the way by Áron, Lana and Martin! Exciting times… ♻️
Learn about the project here.
Read the interview here: here.
Our paper just received the Advanced Membranes Best Paper Award! 🏆 Congratulations to Gergo and Nawader for the nice article, which you can read here. 
Download the dataset from the OSN Database.
We identified the most important solvent parameters affecting solute rejection in membranes. 🚀 We reported a dataset with 407 solutes in 11 solvents, and utilized a graph neural network to predict solute rejection. Explainable artificial intelligence helped us reveal and visualize the underlying effects of atoms and functional groups altering the rejection. 👨💻
Congratulations to Martin Gede on completing an excellent PhD thesis titled Advancing Sustainable Photoredox Catalysis with Polymers of Intrinsic Microporosity: from Catalyst Design to Continuous–Flow Process! Many thanks to their committee members, namely Profs Javier Ruiz-Martinez and Monika Chodasiewicz from KAUST and Prof Timothy Noël from the University of Amsterdam. 🙏
It has been a true pleasure working with you throughout this journey, and your hard work and dedication are evident in the depth and quality of your research. You are not only a brilliant researcher but also a great colleague, and I have thoroughly enjoyed supervising your PhD research. I have no doubt that your future career will be filled with success and exciting opportunities. Wishing you all the best in your next steps. I’m confident you’ll continue to make a meaningful impact! 🚀
Martin’s thesis was selected as the best chemical engineering thesis in 2024 and was nominated for the best PhD thesis in the Physical Science and Engineering Division at KAUST. 💡 Congratulations!
🚨 Revolutionizing Energy Efficiency in Chemical Separations! We’re thrilled to share our latest open access research 🔓, just out in Nature Energy!
Our paradigm-shifting hybrid modeling approach combines cutting-edge machine learning with mechanistic insights, unlocking the potential to…
🔋 slash energy use and CO₂ emissions by up to 90% in pharmaceutical purifications;
🌎 achieve 40% energy reduction overall in chemical separations; and
💡 enable membrane technology to enhance up to 74% of chemical separations.
We analyzed a staggering 7.1 million scenarios across a wide range of application domains to guide sustainable technology choices in the chemical industry.
👏 A huge congratulations to the team:
Gergő Ignácz 🤖📊 – The Robot, who trained the AI
Aron Kristof Beke ⚙️⚡ – The Energizer, who powered the separations
Viktor Toth ⚗️🥼 – The Chemist, who cooked the drugs
👨💻 Dive into the future of energy-efficient separations here if you want to read the article, or listen to an AI-generated podcast:
Read the story behind the article in the KAUST Discovery magazine published under ‘Slashing industrial emissions using a hybrid model approach‘.
Read the commentary by Professor Michael Tsapatsis from Johns Hopkins University under ‘Facilitating decision making‘ published in the News & Views section of Nature Energy.
🌐 Use our online open access tools to enhance your separations at the OSN Database: www.OSNdatabase.com
Congratulations to Nawader Alqadhi for passing her PhD defense at KAUST in July 2024. Many thanks to their committee members, namely Profs Pascal Saikaly and NorEddine Ghaffour from KAUST and Prof Christopher Fellows from the University of New England in Australia and the Saudi Water Authority. Hard work always pays off. You nailed your thesis defense! Wishing you all the best for your future career!
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