Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 57 min ago
PreprintLicence not statedChemRxiv

Literature-Scale Mössbauer Data Enable Prediction, Electronic-State Interpretation, and Chemical Insight in Molecular Iron Chemistry

4 affiliations
  1. 1College of Cryptology and Cyber Science, College of Computer Science
  2. 2Nankai University
  3. 3Frontiers Science Center of New Organic Matters, Nankai University
  4. 4State Key Laboratory and Institute of Elemento-Organic Chemistry, College of Chemistry, College of Outstanding Engineers

Related

  1. Machine learning prediction of bismuth recovery from literature data: publication-grouped validation, anchored calibration and chemical interpretation
    Subash Chandra Bose Rapaka
    ChemRxivPreprintCC BY-NC-NDFull textMaterials & polymersChemRxiv
  2. Bridging Chemical Literature and Molecular Graphs: LLM-Augmented Enantioselectivity Prediction for Iridium-Catalyzed Asymmetric C-H Borylation.
    Zhe Wang, Baohua Zhang, Yi Isaac Yang +2
    Advanced science (Weinheim, Baden-Wurttemberg, Germany)Peer-reviewedCC BYFull textMaterials & polymersEurope PMC
  3. 3DRISM Solvation for Accurate and Large-Scale Protein Hydration Prediction and Mechanistic Interpretation
    Peter C. Swanson, Siqin Cao, Zige Liu +3
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  4. Hierarchical Multimodal Large Language Model-Based Interpretation and Aggregation of PDP and ICE Explanations for Battery State-of-Charge Prediction in Electric Vehicles
    Jaeseung Lee, Jehyeok Rew
    BatteriesPeer-reviewedCC BY 4.0Full textElectrochemistry & energyCrossrefDOAJ
  5. Bridging the Literature-to-Laboratory Gap with Language Models and Active Learning for Reaction Feasibility Prediction and Autonomous Exploration
    Haowen Zhong, Yi Yang, Jiekai Jia +7
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
BibTeX
@misc{zhang2026literaturescale,
  title = {{Literature-Scale Mössbauer Data Enable Prediction, Electronic-State Interpretation, and Chemical Insight in Molecular Iron Chemistry}},
  author = {Zhibo Zhang and Haoran Li and Fang-Wei Lin and Xin-Lin Li and Kai Huang and Peng-Bo Ding and Yu-Yang Ding and En-Ze Yu and Jin Zhang and Peng He and Xiaoli Gong and Shou-Fei Zhu},
  howpublished = {ChemRxiv},
  year = {2026},
  month = nov,
  doi = {10.26434/chemrxiv.15011512/v1},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011512/v1},
}
RIS
TY  - UNPB
TI  - Literature-Scale Mössbauer Data Enable Prediction, Electronic-State Interpretation, and Chemical Insight in Molecular Iron Chemistry
AU  - Zhibo Zhang
AU  - Haoran Li
AU  - Fang-Wei Lin
AU  - Xin-Lin Li
AU  - Kai Huang
AU  - Peng-Bo Ding
AU  - Yu-Yang Ding
AU  - En-Ze Yu
AU  - Jin Zhang
AU  - Peng He
AU  - Xiaoli Gong
AU  - Shou-Fei Zhu
PY  - 2026
DA  - 2026/11/02
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15011512/v1
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011512/v1
ER  -