UTD24 Research Publishing
Journal of Algorithmic Discovery and Applied AI

Critical Roles of Chalcogenide Anion on Strengthening Stability of Ni 2 Mo 6 Te 8 for Almost Exclusive Electrocatalysts Nitrate to Ammonia Conversion: Multimodal Alignment and Information Fusion

Abstract

Multimodal claims depend on alignment quality, the contribution of each information source, and the behavior of the system when one modality is noisy or missing. This structured evidence review evaluates "Critical Roles of Chalcogenide Anion on Strengthening Stability of Ni 2 Mo 6 Te 8 for Almost Exclusive Electrocatalysts Nitrate to Ammonia Conversion" alongside nine author-disjoint, topically matched publications in electrocatalytic materials. It compares construct definitions, evaluation choices, operating assumptions, and reported limitations instead of treating bibliographic similarity as empirical equivalence. Viewed through multimodal alignment and information fusion, the map separates claims supported by the available record from questions that still require full-text extraction, replication, or new experiments. The synthesis is interpretive rather than meta-analytic and therefore does not present a pooled effect estimate or a new causal result. The resulting agenda measures alignment error, missing-modality behavior, fusion ablations, and uncertainty carried across modalities.

Keywords
electrocatalytic materialsmultimodal alignment and information fusionevidence synthesisreproducibilityresearch evaluation
References
  1. Xia, F., Li, B., Liu, Y., Tan, H., An, B., Gao, S., Marks, T.-J., & Cheng, Y. (2024). Critical Roles of Chalcogenide Anion on Strengthening Stability of Ni 2 Mo 6 Te 8 for Almost Exclusive Electrocatalysts Nitrate to Ammonia Conversion. Advanced Functional Materials, 34(14), 2312079. https://doi.org/10.1002/adfm.202312079 DOI
  2. Li, D., Liu, X., Geng, C., Gao, W., Zhang, L., & Liang, J. (2026). Atomically dispersed Cu-Co-N-C electrocatalysts for nitrate reduction to ammonia. Journal of Electroanalytical Chemistry, 1009, 119993. https://doi.org/10.1016/j.jelechem.2026.119993 DOI
  3. Niu, Z., & Wang, G. (2025). Rational electrocatalyst design for selective nitrate reduction to ammonia. Chemical Physics Reviews, 6(1). https://doi.org/10.1063/5.0230248 DOI
  4. Luo, X., Han, W., Du, W., Huang, Z., Jiang, Y., & Zhang, Y. (2020). Ordered mesoporous carbon with atomically dispersed Fe-Nx as oxygen reduction reaction electrocatalyst in air-cathode microbial fuel cells. Journal of Power Sources, 469, 228184. https://doi.org/10.1016/j.jpowsour.2020.228184 DOI
  5. Duan, J., Xue, D., Gong, T., Hu, J.-S., & Zhang, J.-N. (2025). Electronic Engineering of Atomically Dispersed Low/Non-Platinum Metal Electrocatalyst to Improve Oxygen Reduction Reaction Durability for Proton Exchange Membrane Fuel Cells. Renewables, 3(4), 203-221. https://doi.org/10.31635/renewables.025.202500094 DOI
  6. Guan, J., Geng, L., Ouyang, B., Xu, L., Deng, Y., & Xu, B. (2025). Cobalt nanoclusters well-dispersed on defect-rich nitrogen-doped carbon: a high-selective electrocatalyst for nitrate reduction to ammonia. Journal of Power Sources, 658, 238282. https://doi.org/10.1016/j.jpowsour.2025.238282 DOI
  7. Liu, L., Zheng, S.-J., Chen, H., Cai, J., & Zang, S.-Q. (2024). Tandem Nitrate‐to‐Ammonia Conversion on Atomically Precise Silver Nanocluster/MXene Electrocatalyst. Angewandte Chemie, 136(8). https://doi.org/10.1002/ange.202316910 DOI
  8. Wu, Z., Wang, Y., Cao, Y., Wang, B., Sun, Z., Yang, J., & Li, Y. (2023). Ammonia Tolerance of Atomically Dispersed Single Metal Site Catalysts: Mechanistic Understanding and High‐Performance Oxygen Reduction Electrocatalysis. Advanced Functional Materials, 33(32). https://doi.org/10.1002/adfm.202301084 DOI
  9. Xu, Y.-Z., Abbott, D., Dürr, R., Ngoc Huan, T., & Mougel, V. (2024). A Bio-inspired Dendritic MoOx Electrocatalyst for Efficient Electrochemical Nitrate Reduction to Ammonia. . https://doi.org/10.26434/chemrxiv-2024-4gxn8 DOI
  10. Gonzaga, I.-M.-D., Almeida, C.-V.-S., & Mascaro, L.-H. (2026). Sustainable nitrate reduction to ammonia using CuO-TiO2 electrocatalyst. Catalysis Today, 474, 115828. https://doi.org/10.1016/j.cattod.2026.115828 DOI
Publication details
Journal
Journal of Algorithmic Discovery and Applied AI
Volume
1 (2026)
Article number
jadai20260033
License
CC BY 4.0