FRONTIER CONVERGENCES IN NUCLEAR ASTROPHYSICS: NEUTRINO QUANTUM KINETICS, THREE-NUCLEON FORCES FROM MULTIMESSENGER AI INFERENCE, DEFORMATION OF THE DOUBLY MAGIC ²⁰⁸PB NUCLEUS, R-PROCESS NUCLEAR DATA BREAKTHROUGHS, AND NEURAL-NETWORK QUANTUM STATES — A SYNTHESIS SHAPING THE NEXT DECADE
This paper presents the most current instalment of our research on dense nuclear matter and its multimessenger astrophysical manifestations. Building upon our systematic treatment of the nuclear symmetry energy, the dense-matter equation of state, hybrid star phase transitions, kilonova multimessenger signatures, and the finite-temperature equation of state in merger remnants, we here synthesise five breakthrough developments from 2025 and early 2026 that each independently constitute a landmark in the field and collectively define the frontier research programme for the coming decade. First, we analyse the first numerical relativity simulations of binary neutron star (BNS) mergers incorporating neutrino quantum flavor transformation (Qiu, Radice, Richers, Bhattacharyya, Physical Review Letters 135, 091401, August 2025), which for the first time showed that fast flavor conversions and quantum many-body neutrino interactions can produce up to 30,000% more neutron-rich ejecta in low-density equatorial outflows, significantly boost r-process yields, and potentially leave an imprint on postmerger gravitational-wave emission — fundamentally revising our understanding of kilonova nucleosynthesis. Second, we examine the landmark artificial intelligence inference of three-nucleon coupling strengths directly from multi-messenger neutron star observations (Somasundaram, Svensson et al., Nature Communications, 2025), which achieved for the first time a robust quantitative link between macroscopic compact star observables and the microscopic nuclear force parameters of chiral effective field theory, constraining the elusive three-body interaction strength at supra-nuclear density. Third, we discuss the discovery that the heaviest doubly-magic nucleus, ²⁰⁸Pb, is not perfectly spherical but is slightly prolate (Henderson et al., Physical Review Letters 134, 062502, February 2025), a breakthrough that challenges every existing nuclear structure model for heavy nuclei and has direct consequences for PREX-II EoS inference and r-process nucleosynthesis at the A∼195 abundance peak. Fourth, we analyse new precision nuclear data from RIKEN Nishina Center on 37 β-delayed neutron emitters (Physical Review Letters 134, 172701, May 2025), which increased predicted abundances of yttrium, zirconium, niobium, and molybdenum in kilonova ejecta by 50–70%, directly affecting the interpretation of AT2017gfo’s early blue emission and the identification of first-peak r-process elements. Fifth, we review the application of neural-network quantum states (NNQS) to the neutron star crust and to Λ-hypernuclei (Physical Review Research 8, 013160, February 2026; Communications Physics 8, 108, March 2025), which for the first time solved the ab initio nuclear many-body problem in the pasta phase regime using AI-based wave functions, discovering nuclear cluster formation without prior physical assumptions. We conclude by constructing a unified observational programme connecting these five breakthroughs to measurable signatures in future gravitational-wave, neutrino, and electromagnetic observations, and place them within the theoretical framework of our preceding four papers.
Gupta, A. P. (2026). Frontier Convergences in Nuclear Astrophysics: Neutrino Quantum Kinetics, Three-Nucleon Forces from Multimessenger AI Inference, Deformation of the Doubly Magic ²⁰⁸Pb Nucleus, r-Process Nuclear Data Breakthroughs, and Neural-Network Quantum States — A Synthesis Shaping the Next Decade. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.080
Gupta, Arti. "Frontier Convergences in Nuclear Astrophysics: Neutrino Quantum Kinetics, Three-Nucleon Forces from Multimessenger AI Inference, Deformation of the Doubly Magic ²⁰⁸Pb Nucleus, r-Process Nuclear Data Breakthroughs, and Neural-Network Quantum States — A Synthesis Shaping the Next Decade." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.080.
Gupta, Arti. "Frontier Convergences in Nuclear Astrophysics: Neutrino Quantum Kinetics, Three-Nucleon Forces from Multimessenger AI Inference, Deformation of the Doubly Magic ²⁰⁸Pb Nucleus, r-Process Nuclear Data Breakthroughs, and Neural-Network Quantum States — A Synthesis Shaping the Next Decade." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.080.
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