As one of the pioneering groups in the study and development of Metal-Organic Layers (MOLs), our lab is dedicated to exploring the vast potential of these versatile materials. MOLs, with their unique structure and composition, offer unprecedented opportunities for innovation in catalysis, gas storage, and separation technologies. By integrating data science methodologies with our work on MOLs, we aim to unlock new insights and accelerate the development of MOL-based systems for a range of applications. This unique intersection of data science and material development allows us to systematically explore the chemical space of MOLs, optimizing their properties for specific applications and pushing the boundaries of what is achievable in catalysis and material science.

Our lab is pioneering a unique 3D printing technique designed to create intricate materials within transparent porous substrates. This innovative approach allows for the development of advanced photonic materials with applications ranging from energy conversion to sensing technologies. By manipulating the porosity and composition of the substrate, we can control the optical properties of the printed materials, opening up new avenues for research and application in photonic devices. Our goal is to harness this technique to fabricate materials that not only push the limits of photonic performance but also offer new functionalities and improved efficiencies in light manipulation and energy conversion.

In our AI4Catalysis initiative, we leverage cutting-edge data science tools and automation to tackle some of the most complex challenges in catalysis. Our work is at the forefront of combining artificial intelligence with catalytic science to innovate and improve processes critical to environmental sustainability and energy conversion. A significant focus of our research is on the discovery and optimization of electrocatalysts for applications such as carbon dioxide reduction reaction (CO2RR), hydrogen/deuterium (H/D) separation, and enhancing photocatalytic reactions through the novel use of polypeptides as additives. By harnessing the power of AI, we aim to accelerate the search and development of efficient, cost-effective catalytic solutions, pushing the boundaries of what's possible in catalysis and contributing to a cleaner, more sustainable future.