Lecturer at ALTINBAŞ ÜNİVERSİTESİ, Turkey
Cihat Güleryüz is an innovative researcher specializing in nanomaterials and quantum simulations, currently pursuing his Ph.D. at Marmara University. With a background in nuclear physics and expertise in Artificial Intelligence and Density Functional Theory (DFT), Cihat’s work focuses on discovering new materials with advanced properties. He has contributed to groundbreaking research on organic semiconductors and MXene-based materials, which has led to numerous high-impact publications. His interdisciplinary approach spans physics, chemistry, and AI, and he has garnered recognition through prestigious awards. Cihat also serves as a lecturer, shaping the next generation of scientists. 🧑🔬🌍💡
Publication profile
Education📘👩🎓
Cihat Güleryüz holds a strong academic foundation in physics and materials science. He is currently working on his Ph.D. at Marmara University, focusing on the discovery of nanomaterials via AI and DFT. He earned his M.Sc. from Marmara University (2012–2017), where he focused on polaron binding energies in organic semiconductors, and completed his B.Sc. in Nuclear Physics at Akdeniz University (2005–2010), where he calculated scattering cross-sections under the guidance of Prof. Dr. İsmail Boztosun. His education equips him with the necessary tools to lead innovative research at the intersection of AI and materials science. 🎓📚⚛️
Professional Experience🔬
Cihat has served as a lecturer at Altınbaş University and Gelişim University, contributing to the Opticiniary Department, where he integrates his research expertise into teaching. Before this, he worked as a laboratory assistant in the Physics Department at Marmara University, helping foster new talent and contributing to academic excellence. His professional career is marked by a blend of research and teaching, as he continues to mentor students while pursuing pioneering work in nanomaterials and quantum transport properties. His academic and professional endeavors make him a well-rounded educator and researcher. 🧑🏫🔬
Research Interest🧪
Cihat research focuses on nanomaterials, quantum simulations, and AI applications in material discovery. His work includes the investigation of MXene-based two-dimensional materials, polaron binding energies, and organic semiconductors. He is particularly interested in exploring how AI can be used to predict and discover new materials with advanced properties, which could revolutionize fields like energy storage and semiconductors. His research also extends into non-linear optical (NLO) properties and organic dyes for photovoltaic applications, positioning him as a leader in cutting-edge interdisciplinary research. 💻🔬✨
Award and Honor🌟
Cihat has been honored with prestigious accolades for his contributions to science. He was awarded the Turkish Higher Education Council’s (YÖK) 100/2000 Ph.D. Scholarship from 2018 to 2022, recognizing his potential in advanced research. His research projects have been supported by prominent bodies like the Scientific and Technological Research Council of Turkey (TUBITAK), with key projects focused on MXene-based materials and AI-driven material discovery. These awards highlight his dedication and ability to push the boundaries of material science and AI research. 🏆🎖️
Publication top notes📚
- Exploration of deep UV-NLO responses of non-conjugated crystal systems by harnessing aprotic solvents: DFT vs experimental
- Authors: Güleryüz, C., Mohyuddin, A., Hassan, A.U.
- Journal: Optical Materials
- Year: 2024
- Citations: 0
- 🧪🔬
- Graphene Endowed Nanocomposite Sheet: Synthesis, Characterization and Thermal Stability
- Authors: Nosheen, M., Hassan, A.U., Muhsan, M.S., Mohyuddin, A., Güleryüz, C.
- Journal: Pakistan Journal of Scientific and Industrial Research Series A: Physical Sciences
- Year: 2024
- Citations: 0
- 📄🧩
- Excited state dependent fast switching NLO behavior investigation of sp2 hybridized donor crystal as D-π-A push–pull switches
- Authors: Güleryüz, C., Sumrra, S.H., Hassan, A.U., Muhsan, M.S., Alshehri, S.M.
- Journal: Results in Chemistry
- Year: 2024
- Citations: 3
- 🌟📈
- DFT-guided structural modeling of end-group acceptors at Y123 core for sensitizers as high-performance organic solar dyes and NLO responses
- Authors: Hassan, A.U., Sumrra, S.H., Zafar, M., Noreen, S., Güleryüz, C.
- Journal: Journal of Molecular Modeling
- Year: 2023
- Citations: 17
- 📐🔍
- Novel pull–push organic switches with D–π–A structural designs: computational design of star shape organic materials
- Authors: Hassan, A.U., Mohyuddin, A., Güleryüz, C., Hassan, S.U., Javed, M.
- Journal: Structural Chemistry
- Year: 2023
- Citations: 26
- ✨🔬
- Computational Designing of Deferiprone Based Novel Drugs as Efficient Anti-Parkinson Agents
- Authors: Hassan, A.U., Nkungli, N.K., Güleryüz, C.
- Journal: Latin American Applied Research
- Year: 2023
- Citations: 2
- 💊🔬
- Doped Graphene Quantum Dots UV−vis Absorption Spectrum: A High-Throughput TDDFT Study
- Authors: Özönder, Ş., Ünlü, C., Güleryüz, C., Trabzon, L.
- Journal: ACS Omega
- Year: 2023
- Citations: 12
- 🧪🌐
- A DFT Study on New Photovoltaic Dyes to Investigate their NLO Tuning at Near Infrared Region (NIR) as Pull–Push Effect by End Capped Acceptors
- Authors: Hassan, A.U., Sumrra, S.H., Nazar, M.F., Güleryüz, C.
- Journal: Journal of Fluorescence
- Year: 2023
- Citations: 21
- ☀️🔬
- Structural and Electronic (Absorption and Fluorescence) Properties of a Stable Triplet Diphenylcarbene: A DFT Study
- Authors: Hassan, A.U., Mohyuddin, A., Nadeem, S., Javed, M., Muhsan, M.S.
- Journal: Journal of Fluorescence
- Year: 2022
- Citations: 25
- 📊🔬
- Theoretical Probing of 3d Nano Metallic Clusters as Next Generation Non-Linear Optical Materials
- Authors: Hassan, A.U., Sumrra, S.H., Nkungli, N.K., Güleryüz, C.
- Journal: Results in Chemistry
- Year: 2022
- Citations: 8
- 🧩🔬
