Abstract
Zihan Zhang, mengxi Chen, Xuezhou Zhao, Yutao Guo
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
ror
Confidence 99%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
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Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
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openalex
Confidence 95%
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Confidence 0%
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Leveraging Infrared Spectroscopy for Automated Structure Elucidation
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Note on the Sampling Error of the Difference between Correlated Proportions or Percentages
10.1007/bf02295996 · doi-reference
Probable Inference, the Law of Succession, and Statistical Inference
10.1080/01621459.1927.10502953 · doi-reference
Why Is Tanimoto Index an Appropriate Choice for Fingerprint-Based Similarity Calculations?
10.1186/s13321-015-0069-3 · doi-reference
The Properties of Known Drugs. 1 Molecular Frameworks
10.1021/jm9602928 · doi-reference
InChI, the IUPAC International Chemical Identifier
10.1186/s13321-015-0068-4 · doi-reference
Twenty years of nmrshiftdb2: A case study of an open database for analytical chemistry
10.1002/mrc.5418 · doi-reference
Rapid Prediction of NMR Spectral Properties with Quantified Uncertainty
10.1186/s13321-019-0374-3 · doi-reference
Extended-Connectivity Fingerprints
10.1021/ci100050t · doi-reference
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
10.18653/v1/2020.acl-main.703 · doi-reference
NMRGym: A Comprehensive Benchmark for Nuclear Magnetic Resonance Based Molecular Structure Elucidation
10.48550/arxiv.2601.15763 · doi-reference
NMR-Solver: Automated Structure Elucidation via Large-Scale Spectral Matching and Physics-Guided Fragment Optimization
10.1038/s41467-026-71315-0 · doi-reference
Leakage and the Reproducibility Crisis in Machine-Learning-Based Science
10.1016/j.patter.2023.100804 · doi-reference
De Novo Structure Prediction from Tandem Mass Spectra: Algorithms, Benchmarks, and Limitations
10.3390/molecules31050769 · doi-reference
MassSpecGym: A benchmark for the discovery and identification of molecules
10.52202/079017-3491 · doi-reference
MoleculeNet: A Benchmark for Molecular Machine Learning
10.1039/c7sc02664a · doi-reference
Language Models Can Understand Spectra: A Multimodal Model for Molecular Structure Elucidation
10.48550/arxiv.2508.08441 · doi-reference
Advancing Structure Elucidation with a Flexible Multi-Spectral AI Model
10.1002/anie.202517611 · doi-reference
Automated Structure Elucidation at Human-Level Accuracy via a Multimodal Multitask Language Model
10.26434/chemrxiv-2025-q80r9 · doi-reference
Leveraging Infrared Spectroscopy for Automated Structure Elucidation
10.1038/s42004-024-01341-w · doi-reference
Machine-Learning Approach to Identify Organic Functional Groups from FT-IR and NMR Spectral Data
10.1021/acsomega.5c01903 · doi-reference
DeepSPInN – Deep Reinforcement Learning for Molecular Structure Prediction from Infrared and 13C NMR Spectra
10.1039/d4dd00008k · doi-reference
Database Independent Automated Structure Elucidation of Organic Molecules Based on IR, 1H NMR, 13C NMR, and MS Data
10.1021/acs.jcim.0c01332 · doi-reference
DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation
10.1088/2752-5724/ae301f · doi-reference
NMRTrans: Structure Elucidation from Experimental NMR Spectra via Set Transformers
10.48550/arxiv.2602.10158 · doi-reference
Accurate and Efficient Structure Elucidation from Routine One-Dimensional NMR Spectra Using Multitask Machine Learning
10.1021/acscentsci.4c01132 · doi-reference
Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
10.26434/chemrxiv-2023-8wxcz · doi-reference
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
10.52202/079017-3996 · doi-reference
SMILES, a Chemical Language and Information System. 1. Introduction to Methodology and Encoding Rules
10.1021/ci00057a005 · doi-reference
HOSE – A Novel Substructure Code
10.1016/s0003-2670(01)83100-7 · doi-reference