Larsen, J. J., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021).
Apsu - A compact surface NMR instrument for groundwater investigations.
SEG Technical Program Expanded Abstracts,
2021-September, 3135-3139.
https://doi.org/10.1190/segam2021-3582046.1
Larsen, J. J., Langhof, R. B.
, Kjær, M. W., Vang, M., Liu, L., Griffiths, M.
& Grombacher, D. (2022).
Efficient processing of surface NMR data with spectral analysis.
Geophysical Journal International,
229(1), 286-298.
https://doi.org/10.1093/gji/ggab472
Kass, M. A., Auken, E., Larsen, J. J. & Christiansen, A. V. (2021).
A towed magnetic gradiometer array for rapid, detailed imaging of utility, geological, and archaeological targets.
Geoscientific Instrumentation, Methods and Data Systems,
10(2), 313-323.
https://doi.org/10.5194/gi-10-313-2021
Kass, M. A., Grombacher, D., Griffiths, M., Vang, M. Ø., Liu, L. & Larsen, J. J. (2022).
A steady-state approach to surface nuclear magnetic resonance. I
Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP (s. 54). J and N Group, Ltd..
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Hansen, B.
, Christiansen, A. V., Dalgaard, T., Jørgensen, F.
, Iversen, B. V., Larsen, J. J., Kjærgaard, C., Jacobsen, B. H.
, Auken, E., Hojberg, A. L.
& Schaper, S. (2020).
Danish review on advances in assessing: N retention in the subsurface in relation to future targeted N-regulation of agriculture. GEUS, Geological Survey of Denmark and Greenland. GEUS Rapport Bind 2020 Nr. 11
https://mapfield.dk/media/21858/d26_synthesis_report_mapfield.pdf
Grombacher, D., Liu, L., Kass, M. A., Osterman, G., Fiandaca, G.
, Auken, E. & Larsen, J. J. (2020).
Inverting surface NMR free induction decay data in a voltage-time data space.
Journal of Applied Geophysics,
172, Artikel 103869.
https://doi.org/10.1016/j.jappgeo.2019.103869
Grombacher, D., Liu, L., Griffiths, M. P.
, Vang, M. & Larsen, J. J. (2021).
Steady-State Surface NMR for Mapping of Groundwater.
Geophysical Research Letters,
48(23), Artikel e2021GL095381.
https://doi.org/10.1029/2021GL095381
Grombacher, D., Griffiths, M. P.
, Liu, L., Vang, M. & Larsen, J. J. (2022).
Frequency Shifting Steady-State Surface NMR Signals to Avoid Problematic Narrowband-Noise Sources.
Geophysical Research Letters,
49(7), Artikel e2021GL097402.
https://doi.org/10.1029/2021GL097402
Griffiths, M. P., Grombacher, D., Liu, L., Vang, M. Ø. & Larsen, J. J. (2022).
Forward Modeling Steady-State Free Precession in Surface NMR.
IEEE Geoscience and Remote Sensing Letters,
60, Artikel 4513510.
https://doi.org/10.1109/TGRS.2022.3221624
Griffiths, M. P., Grombacher, D., Kass, M. A., Vang, M., Liu, L. & Larsen, J. J. (2023).
A surface NMR forward in a dot product.
Geophysical Journal International,
234(3), 2284-2290.
https://doi.org/10.1093/gji/ggad203
Gaikwad, N., Liu, L., Griffiths, M. P., Vang, M. Ø., Grombacher, D. & Larsen, J. J. (2022).
Thermal Model of the Apsu Transmitter for Lightweight and Compact Heat Sink Design. 11-13. Abstract fra The 8th International Workshop on Magnetic Resonance Sounding, Strasbourg, Frankrig.
https://mrs2021.sciencesconf.org/data/pages/proceedings_MRS2021_distrib_v2.pdf
Fiandaca, G., Olsson, P.-I.
, Auken, E., Larsen, J. J., Maurya, P. K. & Dahlin, T. (2015).
Doubling the Spectrum of Time-Domain Induced Polarization: Removal of Harmonic Noise and Self-Potential Drift. Abstract fra AGU Fall Meeting 2015, San Fransisco, USA.
https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/75469
Fiandaca, G., Olsson, P. I.
, Larsen, J. J., Dahlin, T.
& Auken, E. (2016).
Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift/spike removal and tapered gating. I
22nd European Meeting of Environmental and Engineering Geophysics, Near Surface Geoscience 2016 European Association of Geoscientists and Engineers, EAGE.
https://doi.org/10.3997/2214-4609.201602021
Bording, T. S., Asif, M. R., Barfod, A. S.
, Larsen, J. J., Zhang, B., Grombacher, D. J., Christiansen, A. V., Engebretsen, K. W.
, Pedersen, J. B., Maurya, P. K. & Auken, E. (2021).
Machine learning based fast forward modelling of ground-based time-domain electromagnetic data.
Journal of Applied Geophysics,
187, Artikel 104290.
https://doi.org/10.1016/j.jappgeo.2021.104290
Blanchet, V., Lochbrunner, S., Schmitt, M., P. Shaffer, J.
, Larsen, J. J., Z. Zgierski, M., Seideman, T. & Stolow, A. (2000).
Towards disentangling coupled electronic-vibrational dynamics in ultrafast non-adiabatic processes.
Faraday Discussions,
115, 33-48.
https://doi.org/10.1039/b001138j
Auken, E., Foged, N.
, Larsen, J. J., Lassen, K. V. T., Maurya, P. K., Møller Dath, S. & Eiskjær, T. T. (2019).
tTEM — A towed transient electromagnetic system for detailed 3D imaging of the top 70 m of the subsurface.
Geophysics,
84(1), E13-E22.
https://doi.org/10.1190/geo2018-0355.1
Asif, M. R., Bording, T. S., Barfod, A. A. S.
, Zhang, B., Larsen, J. J. & Auken, E. (2020).
Improving computational efficiency of forward modelling for ground-based time-domain electromagnetic data using neural networks. Abstract fra EGU:General assembly 2020 , Vienna , Østrig.
https://doi.org/10.5194/egusphere-egu2020-7067
Asif, M. R., Bording, T. S., Barfod, A. S.
, Grombacher, D. J., Maurya, P. K., Christiansen, A. V., Auken, E. & Larsen, J. J. (2021).
Effect of Data Pre-Processing on the Performance of Neural Networks for 1-D Transient Electromagnetic Forward Modeling.
IEEE Access,
9, 34635-34646.
https://doi.org/10.1109/ACCESS.2021.3061761
Asif, M. R., Bording, T. S., Maurya, P. K., Zhang, B., Fiandaca, G.
, Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022).
A Neural Network-Based Hybrid Framework for Least-Squares Inversion of Transient Electromagnetic Data.
IEEE Transactions on Geoscience and Remote Sensing,
60, Artikel 4503610.
https://doi.org/10.1109/TGRS.2021.3076121
Asif, M. R., Maurya, P. K., Christiansen, A. V., Larsen, J. J. & Auken, E. (2022).
Deep learning based expert system to automate time-domain electromagnetic data processing. I
34th Symposium on the Application of Geophysics to Engineering and Environmental Problems, SAGEEP 2022 (s. 6). J and N Group, Ltd..
Asif, M. R., Foged, N.
, Maurya, P. K., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022).
Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data.
Geophysics,
87(4), E177-E187.
https://doi.org/10.1190/geo2021-0335.1
Asif, M. R., Maurya, P. K., Foged, N.
, Larsen, J. J., Auken, E. & Christiansen, A. V. (2022).
Automated transient electromagnetic data processing for ground-based and airborne systems by a deep learning expert system.
IEEE Transactions on Geoscience and Remote Sensing,
60, Artikel 5919814.
https://doi.org/10.1109/TGRS.2022.3202304