activity
20182021
most citedBi-selective pulses for large-area atom interferometry

22 citations · 27 across the 4 of their papers we have counts for

collaborators

7 papers

physics.chem-ph20215 cited

Heteronuclear transfers from labile protons in biomolecular NMR: Cross Polarization, revisited

Mihajlo Novakovic, Sundaresan Jayanthi, Adonis Lupulescu +5

INEPT- and HMQC-based pulse sequences are widely used to transfer polarization between heteronuclei, particularly in biomolecular spectroscopy: they are easy to setup and involve l…

physics.med-ph2021

Optimal control gradient precision trade-offs: application to fast generation of DeepControl libraries for MRI

Mads Sloth Vinding, David L. Goodwin, Ilya Kuprov +1

We have recently demonstrated supervised deep learning methods for rapid generation of radiofrequency pulses in magnetic resonance imaging (https://doi.org/10.1002/mrm.27740, https…

quant-ph2020

High-field solution state DNP using cross-correlations

Maria Grazia Concilio, Murari Soundararajan, Lucio Frydman +1

At the magnetic fields of common NMR instruments, electron Zeeman frequencies are too high for efficient electron-nuclear dipolar cross-relaxation to occur in solution. The rate of…

physics.atom-ph202022 cited

Bi-selective pulses for large-area atom interferometry

Jack Saywell, Max Carey, Ilya Kuprov +1

We present designs for the augmentation 'mirror' pulses of large-momentum-transfer atom interferometers that maintain their fidelity as the wavepacket momentum difference is increa…

quant-ph2019

Optimized Raman pulses for atom interferometry

Jack Saywell, Max Carey, Mohammad Belal +2

We present mirror and beamsplitter pulse designs that improve the fidelity of atom interferometry and increase its tolerance of systematic inhomogeneities. These designs are demons…

eess.SP2019

Neural network interpretation using descrambler groups

Jake L. Amey, Jake Keeley, Tajwar Choudhury +1

The lack of interpretability and trust is a much-criticised feature of deep neural networks. In fully connected nets, the signalling between inner layers is scrambled because backp…