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Computing in Science & Engineering

Computing in Science and Engineering aimed at the most important things in this science world and those are physics, medicine and astronomy. There are many other hard sciences that share a common need for efficient algorithms, system software and architectures. These architectures can face large computational problem but still useful advances in the computational techniques that could benefit many researchers are rarely shared. We offer these topics of computing in science and engineering as live projects for Mtech, PhD and researchers.

S.No Project Titles Abstract
26 Scientific Python for Both Expert and Novice Programmers Abstract
27 Software Engineering for Computational Science and Engineering Abstract
28 Velo: A Knowledge-Management Framework for Modeling and Simulation Abstract
29 What Do We Know about Scientific Software Development's Agile Practices? Abstract
30 System Testing a Scientific Framework Using a Regression-Test Environment Abstract
31 This Isn't Your Parents' Fortran: Managing C++ Objects with Modern Fortran Abstract
32 A Cautionary Tale of Two Basis Sets and Graphene Abstract
33 Monte Carlo-Based Approach for Simulating Nanostructured Catalytic and Electrocatalytic Systems Abstract
34 Interactive Visual Exploration and Analysis of Multivariate Simulation Data Abstract
35 From GPGPU to Many-Core: Nvidia Fermi and Intel Many Integrated Core Architecture Abstract
36 Applications of Computational Science: Data-Intensive Computing for Student Projects Abstract
37 Light a Single Candle: Studying Supernovae Abstract
38 Computer Simulations of Protein Folding Abstract
39 The ETSF: An e-Infrastructure That Bridges Simulations and Experiments Abstract
40 The Limits of Reproducibility in Numerical Simulation Abstract
41 Motivation, Awareness, and Perceptions of Computational Science Abstract
42 Is Dislocation Flow Turbulent in Deformed Crystals? Abstract
43 Crosstalk: Computation as a Language for Research Conversations among Scientists and Engineers Abstract
44 Adaptive Code Collage: A Framework to Transparently Modify Scientific Codes Abstract
45 Biomedical Visual Computing: Case Studies and Challenges Abstract
46 Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters Abstract

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Disclaimer : MTech Projects, is not associated or affiliated with IEEE, in any way. The mentioned IEEE Projects here are student projects inspired by ideas from IEEE publications, not projects conducted by or associated with IEEE.

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