1.One step forward to ultra-fast charging. Please see our recently published paper titled “Hexagonal boron nitride incorporation to achieve high performance Li4Ti5O12 electrodes” in AIP Advances, https://aip.scitation.org/doi/full/10.1063/5.0004376
2. Please see our recent work, which can pave the way in future practical solar cell designs for hard to dope materials. It is titled “ Screen engineered field effect Cu2O based solar cells” and published in IEEE Electron Letters, https://ieeexplore.ieee.org/abstract/document/9097170
3. Please see our recently published paper in Lab on a Chip at Royal Society of Chemistry. We were able to extract information on human mechanical and biofluid properties, simultaneously. It is a new method for building an aerogel based sensor that can effectively extract real-time information from subtle human motion, such as heart rate, etc., while concurrently monitoring sweat pH, ion concentration, perspiration rate, etc. We strongly believe this research can pave the way for future practical designs of flexible, cost effective, and multifunctional wearable sensors. https://doi.org/10.1039/D0LC00545B
4. Instrumented, as a coordinator, prestigious SME grant: Awarded 1 Million Euro grant form European Innovation Council. First ICT Awardee in Turkey
–Working with nanoscale materials to solve world scale problems–
Our research program focuses on material innovation to design next generation device architectures and materials. It utilizes a multidisciplinary approach including the discovery, design, synthesis and characterization of novel device structures. It constantly seeks new ways to integrate nanoscale materials into energy harvesting and storage devices, develop scalable and controllable synthesis schemes for new low and high dimensional material systems, and design engineered platforms to investigate local physical properties and capabilities of these materials, from fundamental physics to advanced engineering applications. Our group also carries out projects for application of artificial intelligence for energy and materials. Our projects always represent a balance of fundamental science and industrial innovation.
Position openings: We are always looking for talented Master/Ph.D. students and postdoctoral fellows to join our group. Students with machine learning and AI background are also welcome.