{"total":4,"items":[{"citing_arxiv_id":"2607.10887","ref_index":6,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Transferable Implicit Solvent Machine Learning Potential for Drugs and Proteins Approaching Ab Initio Accuracy","primary_cat":"physics.chem-ph","submitted_at":"2026-07-12T19:29:24+00:00","verdict":"CONDITIONAL","verdict_confidence":"HIGH","novelty_score":7.0,"formal_verification":"none","one_line_summary":"TWIN, a MACE-based implicit-solvent MLP trained solely on ab initio and experimental data, transfers across drugs, peptides and proteins with near-DFT accuracy at ~100\times lower cost.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.27508","ref_index":225,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"I-QMapper: Error-Aware Layout Optimization and Device Diagnostics for NISQ Hardware","primary_cat":"quant-ph","submitted_at":"2026-06-25T19:44:22+00:00","verdict":null,"verdict_confidence":null,"novelty_score":null,"formal_verification":null,"one_line_summary":null,"context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.12614","ref_index":214,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"A Quantum Multi-Programming Framework to Maximize Quantum Resources for the LUCJ Ansatz","primary_cat":"quant-ph","submitted_at":"2026-05-12T18:04:28+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"A tailored quantum multi-programming workflow for the LUCJ ansatz enables parallel circuit execution with SQD/ext-SQD post-processing that mitigates cross-talk, yielding ethanol energies within 0.001 kcal/mol of classical HCI references.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2511.02630","ref_index":25,"ref_count":1,"confidence":0.88,"is_internal_anchor":false,"paper_title":"Atom-centered electric multipole moments dynamically generated from QM/MM MD simulations","primary_cat":"physics.chem-ph","submitted_at":"2025-11-04T14:58:11+00:00","verdict":"CONDITIONAL","verdict_confidence":"MODERATE","novelty_score":6.0,"formal_verification":"none","one_line_summary":"xDRESP dynamically fits atom-centered multipoles of arbitrary order to the QM/MM electrostatic potential, accurately reproducing ESP and molecular multipoles and tracking charge flow in an SN2 reaction.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}