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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Number of items: 12.

Meng, Jian-Ping and Zhang, Yonghao and Reese, Jason (2015) Numerical simulation of rarefied gas flows with specified heat flux boundary conditions. Communications in Computational Physics, 17 (5). pp. 1185-1200. ISSN 1815-2406

Meng, Jian-Ping and Dongari, Nishanth and Reese, Jason and Zhang, Yonghao (2014) Breakdown parameter for kinetic modeling of multiscale gas flows. Physical Review E, 89 (6). 063305. ISSN 1539-3755

Meng, Jian-Ping and Zhang, Yonghao (2014) Diffuse reflection boundary condition for high-order lattice Boltzmann models with streaming-collision mechanism. Journal of Computational Physics, 258. pp. 601-612. ISSN 0021-9991

Meng, Jian-Ping and Wu, Lei and Reese, Jason and Zhang, Yonghao (2013) Assessment of the ellipsoidal-statistical Bhatnagar-Gross-Krook model for force-driven Poiseuille flows. Journal of Computational Physics, 251. pp. 385-395. ISSN 0021-9991

Meng, Jian-Ping and Zhang, Yonghao and Hadjiconstantinou, Nicolas and Radtke, G.A. and Shan, Xiaowen (2013) Lattice ellipsoidal statistical BGK model for thermal non-equilibrium flows. Journal of Fluid Mechanics, 718. pp. 347-370. ISSN 0022-1120

Wu, Lei and Meng, Jian-Ping and Zhang, Yonghao (2012) Kinetic modelling of the quantum gases in the normal phase. Proceedings of the Royal Society Part A - Mathematical, Physical and Engineering Sciences, 468 (2142). pp. 1799-1823. ISSN 1471-2962

Meng, Jian-Ping and Dongari, Nishanth and Reese, Jason and Zhang, Yonghao (2012) A kinetic switching criterion of hybrid modelling of multiscale gas flows. In: 1st European Conference on Gas Micro Flows, GAMEMS 2012, 2012-06-06 - 2012-06-08.

An, Hongyan and Zhang, Chuhua and Meng, Jian-Ping and Zhang, Yonghao (2012) Analytical solution of axi-symmetrical lattice Boltzmann model for cylindrical Couette flows. Physica A: Statistical Mechanics and its Applications, 391 (1-2). pp. 8-14. ISSN 0378-4371

Meng, Jian-Ping and Zhang, Yonghao and Shan, Xiaowen (2011) Multiscale lattice Boltzmann approach to modeling gas flows. Physical Review E: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 83 (4). 046701. ISSN 1063-651X

Meng, Jian-Ping and Zhang, Yonghao (2011) Gauss-Hermite quadratures and accuracy of lattice Boltzmann models for non-equilibrium gas flows. Physical Review E: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 83 (3). Article 036704. ISSN 1063-651X

Meng, Jian-Ping and Zhang, Yonghao (2011) Accuracy analysis of high-order lattice Boltzmann models for rarefied gas flows. Journal of Computational Physics, 230 (3). pp. 835-849. ISSN 0021-9991

Meng, Jian-Ping and Zhang, Yonghao (2010) Analytical solution for the lattice Boltzmann model beyond Naviers-Stokes. Advances in Applied Mathematics and Mechanics, 2 (5). pp. 670-676. ISSN 2070-0733

This list was generated on Fri Aug 14 22:04:47 2020 BST.