{"total":4,"items":[{"citing_arxiv_id":"2607.08699","ref_index":48,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Detection of the Polycyclic Aromatic Hydrocarbon Phenalene (C$_{13}$H$_{10}$) in the Very Low Luminosity Object (VeLLO) MC27/L1521F","primary_cat":"astro-ph.GA","submitted_at":"2026-07-09T16:59:19+00:00","verdict":"CONDITIONAL","verdict_confidence":"MODERATE","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Phenalene (C13H10) is detected for the first time outside TMC-1 CP, in the VeLLO MC27/L1521F, with a phenalene-to-benzonitrile ratio four times higher than in TMC-1 CP.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.26833","ref_index":37,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Theoretical determination of the binding energies of methanol and related species onto amorphous solid water ice","primary_cat":"astro-ph.GA","submitted_at":"2026-06-25T10:19:12+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"DFT-derived binding energy distributions for methanol and photolysis products on ASW ice, integrated into astrochemical models, demonstrate sensitivity of radical abundances to BE calculation methods.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2601.16331","ref_index":16,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations","primary_cat":"physics.chem-ph","submitted_at":"2026-01-22T21:32:16+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Benchmarks of 15 MLIPs show parameter count and training set size correlate with accuracy, architecture drives speed and memory, and explicit Coulomb terms provide no benefit.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2506.14665","ref_index":81,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Accurate and scalable exchange-correlation with deep learning","primary_cat":"physics.chem-ph","submitted_at":"2025-06-17T15:56:56+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Skala is a neural XC functional trained on wavefunction data that beats state-of-the-art hybrids on main-group chemistry benchmarks at semi-local computational cost.","context_count":1,"top_context_role":"background","top_context_polarity":"unclear","context_text":"URL https://doi.org/10.1021/acs.jctc.7b00550. Publisher: American Chemical Society. [80] M. Gubler, M. R. Schäfer, J. Behler, and S. Goedecker. Accuracy of charge densities in electronic structure calculations. The Journal of Chemical Physics, 162(9):094103, Mar. 2025. ISSN 0021-9606. doi: 10.1063/5.0251833. URL https://doi.org/10.1063/5.0251833. [81] B. Kanungo, A. D. Kaplan, C. Shahi, V. Gavini, and J. P. Perdew. Unconventional Error Cancellation Explains the Success of Hartree-Fock Density Functional Theory for Barrier Heights.The Journal of Physical Chemistry Letters, 15(1):323-328, Jan. 2024. doi: 10.1021/acs.jpclett.3c03088. URLhttps: //doi.org/10.1021/acs.jpclett.3c03088. Publisher: American Chemical Society."}],"limit":50,"offset":0}