Philip W. Livermore

University of Leeds — United Kingdom

Biochemistry, Genetics and Molecular Biology · Life Sciences

21h-index2.2kcitations140works1.32yr avg
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Research Topics

Geomagnetism and Paleomagnetism Studies(99), Geophysics and Gravity Measurements(41), Solar and Space Plasma Dynamics(31), Geology and Paleoclimatology Research(24), Geophysical and Geoelectrical Methods(22)

Publications140 total

A comparison of methods to compute the rate of horizontal geomagnetic field variation
Annales Geophysicae·2025Open Access
Local flow estimation at the top of the Earth’s core using Physics Informed Neural Networks
Physics of The Earth and Planetary Interiors·2025· 1 citedOpen Access
A comparison of methods to compute the rate of horizontal geomagnetic field variation
2025Open Access
Subglacial conditions from converted-wave seismic reflection amplitudes: Synthetic experiments and case study reveal a frozen bed at an Antarctic ice rise
2025Open Access
Local Flow Estimation at the top of the Earth's Core using Physics Informed Neural Networks
arXiv (Cornell University)·2025Open Access
MSCM: A geomagnetic Model derived from Swarm, CSES and MSS-1 satellite data and the evolution of the South Atlantic Anomaly
2025· 1 citedOpen Access
Computing horizontal geomagnetic field variation near the agonic line
2025Open Access
MSCM: A geomagnetic model derived from Swarm, CSES, and MSS-1 satellite data and the evolution of the South Atlantic Anomaly
Earth and Planetary Physics·2025· 3 citedOpen Access
Evaluation of the lithospheric magnetic field mapped by the first year of MSS-1 data
Earth and Planetary Physics·2025Open Access
Sensitivity of the auroral zones to temporal changes in Earth’s internal magnetic field
Journal of Space Weather and Space Climate·2025Open Access
Interannual Magneto–Coriolis modes and their sensitivity on the magnetic field within the Earth’s core
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences·2024· 11 citedOpen Access
Physics-Informed Neural Networks (PINNs) for gravity field modelling and representation: With application to asteroid EROS
2024
Reconstructions of Jupiter’s magnetic field using physics-informed neural networks
Monthly Notices of the Royal Astronomical Society·2024· 2 citedOpen Access
Plesio-geostrophy for Earth’s core – II: thermal equations and onset of convection
Geophysical Journal International·2024Open Access
Reconstructions of Jupiter's magnetic field using physics informed neural networks
arXiv (Cornell University)·2024Open Access
Interannual Magneto-Coriolis modes and their sensitivity on the magnetic field within the Earth's core
arXiv (Cornell University)·2024Open Access
Geomagnetic twin satellites MSS-1: progress and future plans
Astronomy & Geophysics·2024· 4 citedOpen Access
Gyres, jets and waves in the Earth’s core
Nature Reviews Earth & Environment·2023· 31 citedOpen Access
Physics-Informed neural networks for gravity field modeling incorporating observation, geometry and density constraints
2023Open Access
Modelling Jupiter's global and regional magnetic fields using physics-informed neural networks
2023Open Access
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Frequent Co-authors

Andrew Jackson(16), J. E. Mound(9), Alexandre Fournier(8), Glenn Ierley(6), Yves Gallet(5), Kuan Li(5), Christopher C. Finlay(4), Maurits C. Metman(4), Rainer Hollerbach(4), Siobhan Killingbeck(4), Adam Booth(4), L. J. West(4), Ciarán Beggan(3), Julien Aubert(3), Grace Cox(3), Nicolas Gillet(3), Stefano Maffei(3), Erwan Thébault(2), William Brown(2), Sabrina Sanchez(2)