Pioneering surface enhanced Raman scattering through Open Access research...

Strathprints makes available scholarly Open Access content by researchers in the Department of Pure & Applied Chemistry, based within the Faculty of Science. Research here spans a wide range of topics from analytical chemistry to materials science, and from biological chemistry to theoretical chemistry. Chemistry's bionanotechnology research explores nanomedicines and the use of surface enhanced Raman scattering (SERS). Specific work in chemical biology and medicinal chemistry, as another example, encompasses pioneering techniques in synthesis, bioinformatics, nucleic acid chemistry, amino acid chemistry, heterocyclic chemistry, biophysical chemistry and NMR spectroscopy.

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Number of items: 20.


Khan, Shahroz and Kaklis, Panagiotis and Serani, Andrea and Diez, Matteo (2022) Geometric moment-dependent global sensitivity analysis without simulation data : application to ship hull form optimisation. Computer-Aided Design, 151. 103339. ISSN 0010-4485

Khan, Shahroz and Kaklis, Panagiotis and Serani, Andrea and Diez, Matteo and Kostas, Konstantinos (2022) Shape-supervised dimension reduction : extracting geometry and physics associated features with geometric moments. Computer-Aided Design, 150. 103327. ISSN 0010-4485

Khan, Shahroz and Gunpinar, Erkan and Mert Dogan, Kemal and Sener, Bekir and Kaklis, Panagiotis (2022) ModiYacht : intelligent CAD tool for parametric, generative, attributive and interactive modelling of yacht hull forms. In: SNAME 14th International Marine Design Conference, 2022-06-26 - 2022-06-30.


Kaklis, Panagiotis and Khan, Shahroz and Serani, Andrea and Diez, Matteo (2021) Supporting expensive physical models with geometric moment invariants to accelerate sensitivity analysis for shape optimisation. In: Dagstuhl Seminar 21471, 2021-11-21 - 2021-11-26, Schloss Dagstuhl.

Khan, S. and Kostas, K. and Kaklis, P. and Serani, A. and Diez, M. (2021) Bayesian shape optimization in high dimensional design spaces using IGA-enabled solvers. In: Virtual International Conference on Isogeometric Analysis, 2021-09-27 - 2021-09-29.

Çelik, Cihad and Danişman, Devrim Bülent and Khan, Shahroz and Kaklis, Panagiotis (2021) A reduced order data-driven method for resistance prediction and shape optimization of hull vane. Ocean Engineering, 235. 109406. ISSN 0029-8018

Khan, Shahroz and Kaklis, Panagiotis (2021) From regional sensitivity to intra-sensitivity for parametric analysis of free-form shapes : application to ship design. Advanced Engineering Informatics, 49. 101314. ISSN 1474-0346

Masood, Zahid and Khan, Shahroz and Qian, Li (2021) Machine learning-based surrogate model for accelerating simulation-driven optimisation of hydropower Kaplan turbine. Renewable Energy, 173. pp. 827-848. ISSN 0960-1481

Usama, Muhammad and Arif, Aqib and Haris, Farhan and Khan, Shahroz and Afaq, S. Kamran and Rashid, Shahrukh; (2021) A data-driven interactive system for aerodynamic and user-centred generative vehicle design. In: 2021 International Conference on Artificial Intelligence, ICAI 2021. IEEE, Piscataway, NJ, pp. 119-127. ISBN 9781665432931

Khan, Shahroz and Kaklis, Panagiotis and Serani, Andrea and Diez, Matteo; (2021) Geometry-driven parametric sensitivity analysis for free-form marine shapes. In: IX Conference on Computational Methods in Marine Engineering. International Center for Numerical Methods in Engineering (CIMNE), [Edinburgh].

Lazakis, Iraklis and Khan, Shahroz (2021) An optimization framework for daily route planning and scheduling of maintenance vessel activities in offshore wind farms. Ocean Engineering, 225. 108752. ISSN 0029-8018

Khan, Shahroz and Serani, Andrea and Diez, Matteo and Kaklis, Panagiotis; (2021) Physics-informed feature-to-feature learning for design-space dimensionality reduction in shape optimisation. In: AIAA Scitech 2021 Forum. American Institute of Aeronautics and Astronautics Inc, AIAA, Reston, VA.. ISBN 9781624106095


Gunpinar, Erkan and Khan, Shahroz (2019) A multi-criteria based selection method using non-dominated sorting for genetic algorithm based design. Optimization and Engineering. ISSN 1389-4420

Khan, Shahroz and Gunpinar, Erkan and Sener, Bekir (2019) GenYacht : an interactive generative design system for computer-aided yacht hull design. Ocean Engineering, 191. 106462. ISSN 0029-8018

Khan, Shahroz and Gunpinar, Erkan and Moriguchi, Masaki and Suzuki, Hiromasa (2019) Evolving a psycho-physical distance metric for generative design exploration of diverse shapes. Journal of Mechanical Design, 141 (11). 111101. ISSN 1050-0472

Celik, C. and Danisman, D.B. and Kaklis, P. and Khan, S.; Georgiev, Petar and Soares, Carlos Guedes, eds. (2019) An investigation into the effect of the hull vane on the ship resistance in OpenFOAM. In: Sustainable Development and Innovations in Marine Technologies. CRC Press, London, pp. 136-141. ISBN 9780367810085


Khan, Shahroz and Awan, Muhammad Junaid (2018) A generative design technique for exploring shape variations. Advanced Engineering Informatics, 38. pp. 712-724. ISSN 1474-0346

Khan, Shahroz and Gunpinar, Erkan (2018) Sampling CAD models via an extended teaching–learning-based optimization technique. Computer-Aided Design, 100. pp. 52-67. ISSN 0010-4485


Khan, Shahroz and Gunpinar, Erkan (2017) An extended latin hypercube sampling approach for CAD model generation. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, 18 (2). pp. 301-314. ISSN 1302-3160

Khan, Shahroz and Gunpinar, Erkan and Dogan, Kemal Mert (2017) A novel design framework for generation and parametric modification of yacht hull surfaces. Ocean Engineering, 136. pp. 243-259. ISSN 0029-8018

This list was generated on Thu Oct 6 07:40:59 2022 BST.