Technology has always been a catalyst for transformative growth, and today, Artificial Intelligence (AI) holds tremendous potential to reshape businesses. Like potential... Read More Community Summit – RSM Speaking Sessions Brent Knowles - September 5, 2023 RSM is thrilled to be a premier sponsor...
Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. Here we highlight some of the areas of highest potential impact, including to accelerate di
MIT Center for Bits and Atoms, Massachusetts Institute of Technology, Cambridge, MA, USA Joseph M. Jacobson Contributions J.W.W. and J.M.J. conceived the study. J.W.W. performed the data structuring, algorithm design and computational implementation. J.W.W. and J.M.J. drafted the manus...
12.Advanced Calculation Methods for Aerospace Engineering 13.Pneumatic design and optimization 14.Design and Verification of Aircraft Composite Structures 15.Drag reduction Boundary layer control 16.Future Aircraft Overall Design 17.Scalable Architecture for Aerospace Applications 18.Drag reduction in supersoni...
2023 The Author(s)Bubble columns are used in many industrial applications, but the complex fluid dynamics phenomena has limited their design and optimizati... N Varallo,G Besagni,R Mereu - 《Chemical Engineering Science》 被引量: 0发表: 2023年 Numerical optimization design for transonic airfoils...
4th International Conference on Performance-based Design in Earthquake. Geotechnical Engineering (PBD-IV) Edited byProf. Lanmin Wang,Prof. Jianmin Zhang,Prof. Rui Wang 15 September 2023 M7.7 and 7.6 Kahramanmaras-Turkiye Earthquakes of February 6, 2023 ...
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Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning Recently, many biologically inspired visual computational models have been proposed. The design of these models follows the related biological mechanisms a... Q Hong,Y Li,F Li,... - 《IEEE ...
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Recurrent neural networks have led to breakthroughs in natural language processing and speech recognition. Here we show that recurrent networks, specifically long short-term memory networks can also capture the temporal evolution of chemical/biophysical