ArticleFrontiers in chemistry2022
Quantitative estimation of chemical microheterogeneity through the determination of fuzzy entropy.
Article in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins.Biophysical reviews · 2025Review
- Single-Molecule Mixture: A Concept in Polymer Science.International journal of molecular sciences · 2024Article
- The Conformational Contribution to Molecular Complexity and Its Implications for Information Processing in Living Beings and Chemical Artificial Intelligence.Biomimetics (Basel, Switzerland) · 2024Article
- Article
- Neuromorphic engineering in wetware: the state of the art and its perspectives.Frontiers in neuroscience · 2024Article
- The Versatile Photo-Thermal Behaviour of a 2-Hydroxyazobenzene.Molecules (Basel, Switzerland) · 2023Article
- Tracing a new path in the field of AI and robotics: mimicking human intelligence through chemistry. Part II: systems chemistry.Frontiers in robotics and AI · 2023Article
- Tracing a new path in the field of AI and robotics: mimicking human intelligence through chemistry. Part I: molecular and supramolecular chemistry.Frontiers in robotics and AI · 2023Article
- Thin-Plate Superstructures of the Immunogenic 33-mer Gliadin Peptide.Chembiochem : a European journal of chemical biology · 2022Article
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2 authors.
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Abstract
Chemical micro-heterogeneity is an attribute of all living systems and most of the soft and crystalline materials. Its characterization requires a plethora of techniques. This work proposes a strategy for quantifying the degree of chemical micro-heterogeneity. First of all, our approach needs the collection of time-evolving signals that can be fitted through poly-exponential functions. The best fit is determined through the Maximum Entropy Method. The pre-exponential terms of the poly-exponential fitting function are used to estimate Fuzzy Entropy. Related to the possibility of implementing Fuzzy sets through the micro-heterogeneity of chemical systems. Fuzzy Entropy becomes a quantitative estimation of the Fuzzy Information that can be processed through micro-heterogeneous chemical systems. We conclude that our definition of Fuzzy Entropy can be extended to other kinds of data, such as morphological and structural distributions, spectroscopic bands and chromatographic peaks. The chemical implementation of Fuzzy sets and Fuzzy logic will promote the development of Chemical Artificial Intelligence.
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