Institution
Georgia Institute of Technology
Education•Atlanta, Georgia, United States•
About: Georgia Institute of Technology is a education organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Population & Computer science. The organization has 45387 authors who have published 119086 publications receiving 4651220 citations.
Topics: Population, Computer science, Nonlinear system, Context (language use), Finite element method
Papers published on a yearly basis
Papers
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TL;DR: A novel bio-inspired composite electrocatalyst, iron phthalocyanine with an axial ligand anchored on single-walled carbon nanotubes, demonstrating higher electrocatalytic activity for oxygen reduction than the state-of-the-art Pt/C catalyst as well as exceptional durability during cycling in alkaline media.
Abstract: Electrocatalysts for oxygen reduction are a critical component that may dramatically enhance the performance of fuel cells and metal-air batteries, which may provide the power for future electric vehicles. Here we report a novel bio-inspired composite electrocatalyst, iron phthalocyanine with an axial ligand anchored on single-walled carbon nanotubes, demonstrating higher electrocatalytic activity for oxygen reduction than the state-of-the-art Pt/C catalyst as well as exceptional durability during cycling in alkaline media. Theoretical calculations suggest that the rehybridization of Fe 3d orbitals with the ligand orbitals coordinated from the axial direction results in a significant change in electronic and geometric structure, which greatly increases the rate of oxygen reduction reaction. Our results demonstrate a new strategy to rationally design inexpensive and durable electrochemical oxygen reduction catalysts for metal-air batteries and fuel cells.
605 citations
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TL;DR: In this paper, the effects of loading rate, hydrostatic pressure and microstructural heterogeneity on the load-carrying capacities of concrete and mortar were investigated using split Hopkinson pressure bar and plate impact.
604 citations
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TL;DR: This definition is based on a particular set of eigenvectors of the DFT matrix, which constitutes the discrete counterpart of the set of Hermite-Gaussian functions, and is exactly unitary, index additive, and reduces to the D FT for unit order.
Abstract: We propose and consolidate a definition of the discrete fractional Fourier transform that generalizes the discrete Fourier transform (DFT) in the same sense that the continuous fractional Fourier transform generalizes the continuous ordinary Fourier transform. This definition is based on a particular set of eigenvectors of the DFT matrix, which constitutes the discrete counterpart of the set of Hermite-Gaussian functions. The definition is exactly unitary, index additive, and reduces to the DFT for unit order. The fact that this definition satisfies all the desirable properties expected of the discrete fractional Fourier transform supports our confidence that it will be accepted as the definitive definition of this transform.
604 citations
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TL;DR: One way of energy harvesting without such restraints is to utilize piezoelectric materials that can convert vibrational and mechanical energy sources from human activities such as pressure, bending, and stretching motions into electrical energy.
Abstract: Outdoor renewable energy sources such as solar energy (15 000 μ W/cm 3 ), [ 3 , 4 ] wind energy (380 μ W/cm 3 ), [ 5 ] and wave energy (1 000 W/cm of wave crest length) [ 6 , 7 ] can provide largescale needs of power. However, for driving small electronics in indoor or concealed environments [ 3 , 8 ] (such as in tunnels, clothes, and artifi cial skin) and implantable biomedical devices, innovative approaches have to be developed. One way of energy harvesting without such restraints is to utilize piezoelectric materials that can convert vibrational and mechanical energy sources from human activities such as pressure, bending, and stretching motions into electrical energy. [ 9–11 ]
604 citations
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TL;DR: An atomistic modeling framework is developed to address the probabilistic nature of surface dislocation nucleation, showing the activation volume associated with surface dislocated nucleation is characteristically in the range of 1-10b3, where b is the Burgers vector.
Abstract: Dislocation nucleation is essential to the plastic deformation of small-volume crystalline solids. The free surface may act as an effective source of dislocations to initiate and sustain plastic flow, in conjunction with bulk sources. Here, we develop an atomistic modeling framework to address the probabilistic nature of surface dislocation nucleation. We show the activation volume associated with surface dislocation nucleation is characteristically in the range of $1--10{b}^{3}$, where $b$ is the Burgers vector. Such small activation volume leads to sensitive temperature and strain-rate dependence of the nucleation stress, providing an upper bound to the size-strength relation in nanopillar compression experiments.
604 citations
Authors
Showing all 45752 results
Name | H-index | Papers | Citations |
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Zhong Lin Wang | 245 | 2529 | 259003 |
Younan Xia | 216 | 943 | 175757 |
Paul M. Thompson | 183 | 2271 | 146736 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Jiawei Han | 168 | 1233 | 143427 |
John H. Seinfeld | 165 | 921 | 114911 |
David J. Mooney | 156 | 695 | 94172 |
Richard E. Smalley | 153 | 494 | 111117 |
Vivek Sharma | 150 | 3030 | 136228 |
James M. Tiedje | 150 | 688 | 102287 |
Philip S. Yu | 148 | 1914 | 107374 |
Kevin Murphy | 146 | 728 | 120475 |
Gordon T. Richards | 144 | 613 | 110666 |
Yi Yang | 143 | 2456 | 92268 |
Joseph T. Hupp | 141 | 731 | 82647 |