A PINN approach learns galactic gravitational potentials from acceleration data, achieving sub-percent errors on simulations while outperforming analytic models and retaining interpretability via structured priors.
I., Chakrabarti, S., Widrow, L
3 Pith papers cite this work, alongside 14 external citations. Polarity classification is still indexing.
3
Pith papers citing it
14
external citations · OpenAlex
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Lazuli is proposed as a space observatory combining flagship sensitivity with response times one to two orders of magnitude faster than current large facilities to enable new time-domain and multi-messenger science.
Pulsar timing tests the vector RAR but current measurements are dominated by the Solar acceleration, producing similar chi-squared fits to a constant-acceleration model.
citing papers explorer
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Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks
A PINN approach learns galactic gravitational potentials from acceleration data, achieving sub-percent errors on simulations while outperforming analytic models and retaining interpretability via structured priors.
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The Lazuli Space Observatory: Opportunities for time-domain and multi-messenger astronomy
Lazuli is proposed as a space observatory combining flagship sensitivity with response times one to two orders of magnitude faster than current large facilities to enable new time-domain and multi-messenger science.
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The Pulsar Radial Acceleration Relation
Pulsar timing tests the vector RAR but current measurements are dominated by the Solar acceleration, producing similar chi-squared fits to a constant-acceleration model.