Beta particles from r-process decay heat and ionize kilonova ejecta non-locally, so transport and detailed atomic data change the predicted temperature and ionization state.
Title resolution pending
3 Pith papers cite this work, alongside 418 external citations. Polarity classification is still indexing.
3
Pith papers citing it
418
external citations · OpenAlex
citation-role summary
background 2
citation-polarity summary
years
2026 3roles
background 2representative citing papers
Open-source parallel implementations of RCCSDT, RCCSDT(Q), RCCSDTQ and UCCSDT in PySCF achieve near-ideal scaling to ~3000 cores and extend canonical high-order CC to systems with ~100 electrons in 450 orbitals.
AAFLOW is a unified distributed runtime that models agentic workflows as operators with a zero-copy data plane using Apache Arrow and Cylon, achieving up to 4.64x pipeline speedup through improved data flow and batching.
citing papers explorer
-
Beta-Particle Transport and Thermalization in Kilonova Ejecta with Detailed Atomic Microphysics
Beta particles from r-process decay heat and ionize kilonova ejecta non-locally, so transport and detailed atomic data change the predicted temperature and ionization state.
-
High-performance parallel implementation of high-order coupled-cluster theories
Open-source parallel implementations of RCCSDT, RCCSDT(Q), RCCSDTQ and UCCSDT in PySCF achieve near-ideal scaling to ~3000 cores and extend canonical high-order CC to systems with ~100 electrons in 450 orbitals.
-
AAFLOW: Scalable Patterns for Agentic AI Workflows
AAFLOW is a unified distributed runtime that models agentic workflows as operators with a zero-copy data plane using Apache Arrow and Cylon, achieving up to 4.64x pipeline speedup through improved data flow and batching.