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@ECLIPSE-AI4Science

ECLIPSE AI4Science

Environment for Computational Learning, Interdisciplinary Physics and Scientific Excellence. Uncertainty-aware AI inference for cosmology and seismology.

ECLIPSE AI4Science

Environment for Computational Learning, Interdisciplinary Physics and Scientific Excellence, at Royal Holloway, University of London.

We fuse AI, physics and statistics for scientific inference under uncertainty, from dark energy and gravity to earthquake dynamics. Our methods are released as open-source software.

Research themes. The Cosmos: cosmic acceleration, dark energy evolution, and deviations from General Relativity across cosmic scales. The Earth: earthquake dynamics and fault slip, towards better seismic-hazard assessment.

Software. gradsolve: differentiable ensemble solvers for differential equations on GPUs, in JAX.

Funded by the Leverhulme Trust through a Research Leadership Award. Website: alessiospuriomancini.org/eclipse

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  1. gradsolve gradsolve Public

    Differentiable ensemble solvers for differential equations on GPUs, in JAX

    Python 12

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  • gradsolve Public

    Differentiable ensemble solvers for differential equations on GPUs, in JAX

    ECLIPSE-AI4Science/gradsolve's past year of commit activity
    Python 12 MIT 0 0 0 Updated Sep 3, 2026
  • .github Public

    Organisation profile

    ECLIPSE-AI4Science/.github's past year of commit activity
    0 0 0 0 Updated Sep 2, 2026

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