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ORCIDLynn F. Gladden
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2020 – today
- 2024
[i3]Julian B. B. Beckmann, Mick D. Mantle, Andrew J. Sederman, Lynn F. Gladden:
Sub-sampling of NMR Correlation and Exchange Experiments. CoRR abs/2401.00599 (2024)- 2023
- [i2]Julian B. B. Beckmann, Mick D. Mantle, Andrew J. Sederman, Lynn F. Gladden:
Deep Learning as a Method for Inversion of NMR Signals. CoRR abs/2311.13722 (2023)
2010 – 2019
- 2019
- [i1]Veronica Corona, Martin Benning, Lynn F. Gladden, Andi Reci, Andrew J. Sederman, Carola-Bibiane Schoenlieb:
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data. CoRR abs/1908.05285 (2019) - 2014
- [c1]Yuting Wu, Daniel J. Holland, Mick D. Mantle, Andrew Gordon Wilson, Sebastian Nowozin, Andrew Blake, Lynn F. Gladden:
A Bayesian method to quantifying chemical composition using NMR: Application to porous media systems. EUSIPCO 2014: 2515-2519
2000 – 2009
- 2008
- [j3]Ole Hirsch, Paul Alexander, Lynn F. Gladden:
Techniques for cancellation of interfering multiple reflections in terahertz time-domain measurements. Microelectron. J. 39(5): 841-848 (2008) - 2006
- [j2]Simon P. Sullivan, Lynn F. Gladden, Michael L. Johns
:
3D chemical reactor LB simulations. Math. Comput. Simul. 72(2-6): 206-211 (2006) - 2000
- [j1]Alistair S. McLeod, Lynn F. Gladden:
Heterogeneous Catalyst Design Using Stochastic Optimization Algorithms. J. Chem. Inf. Comput. Sci. 40(4): 981-987 (2000)
Coauthor Index
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