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From the 1 of 7 linked papers with an AI index.

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7 papers

q-fin.MF2026

Fee Implied Volatility on Uniswap v3: A DEX Native Proxy and Its Limits

Amy Oumayma Khaldoun

Narrow Uniswap v3 liquidity ranges resemble short dated options, and Panoptic's streaming premium echoes the short maturity concentration of Black-Scholes theta near the strike. Th…

cs.AI2026

SpecCal: Ambiguity-Aware Candidate Calibration for Infrared Spectrum-Based Molecular Structure Reconstruction

Yixuan Chen, Bo Liu, Yusen Tan +3

The paper presents SpecCal, a training‑free, model‑agnostic framework that re‑ranks and augments candidate molecules to improve reconstruction of molecular structures from infrared…

cs.LG2026

Towards Generalizable and Evidential Nuclear Magnetic Resonance-Based Molecular Structure Elucidation via Large Language Model Agent

Zheng Fang, Chen Yang, Yusen Tan +9

Nuclear Magnetic Resonance (NMR) spectroscopy is the gold standard for molecular structure elucidation, yet interpreting complex spectra for unknown molecules remains a bottleneck…

cs.AI2026

FlexMS: A Unified Public Benchmark for Molecule Tandem Mass Spectrum Prediction

Yunhua Zhong, Yixuan Tang, Yifan Li +5

Tandem mass spectrometry (MS/MS) is central to small molecule identification, but current deep learning systems for spectrum prediction still remain difficult to evaluate and deplo…

physics.chem-ph2026

A large-scale foundation model enables simulation-to-real adaptation for nuclear magnetic resonance-based molecular structure analysis

Chen Yang, Zheng Fang, Hanyu Sun +7

Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful tool for molecular structure analysis, and spectral artificial intelligence offers great potential for its rapid and aut…

cs.CE2026

NMRGym: A Comprehensive Benchmark for Nuclear Magnetic Resonance Based Molecular Structure Elucidation

Zheng Fang, Chen Yang, Hai-tao Yu +5

Nuclear Magnetic Resonance (NMR) spectroscopy is the cornerstone of small-molecule structure elucidation. While deep learning has demonstrated significant potential in automating s…