The Fuzziness in Molecular, Supramolecular, and Systems Chemistry

Gentili, Pier Luigi

doi:10.3390/molecules25163634

Cited by 6 publications

(5 citation statements)

References 39 publications

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“…Due to the unclear character of most chemical reactions, computation based on fuzzy logic is assumed to be a probable substitute for tackling the indecisive information in the analogue domain of the binary logic scheme. − In lieu of their indefinite character, the variables can be disclosed in terms of certain lingual parameters, viz., low, medium, or high. The influence of varying amounts of OH – and H + (inputs) on the quantum yield (Φ) of RuOsRu can be presented in the form of fuzzy sets (Figure and Table S4).…”

Section: Resultsmentioning

confidence: 99%

“…Boolean logic is based on altering the output between two extremes, “0” and “1”. − However, the practical systems often exhibit multiple intervening states. Actually, fuzzy logic can address the intermediate states. − The inspiration for choosing the fuzzy logic system (FLS) depends on the speculation that the thought and decision making processes in the human brain are too complicated to be precisely described and assume to function as an automated fine-administering system through innumerable intermediate steps having differing degrees of truth. The FLS reveals the conversion of the nonlinear input vectors into scalar outputs.…”

Section: Introductionmentioning

confidence: 99%

“…The FLS reveals the conversion of the nonlinear input vectors into scalar outputs. Significant emphasis is now devoted to the maturity of the evolution of artificial intelligence with improper information. − Herein, we executed fuzzy logic in detail for developing a multivalue logic system upon utilizing the spectral response of the triads under the action of selected anions (F – and/or OH – ) and acid (H + ).…”

Section: Introductionmentioning

confidence: 99%

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Anion and Temperature Responsive Molecular Switches Based on Trimetallic Complexes of Ru(II) and Os(II) That Demonstrate Advanced Boolean and Fuzzy Logic Functions

et al. 2022

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Anion- and temperature-induced alteration of the photoredox behaviors of our recently reported trimetallic complexes was carried out to fabricate potential molecular switches. The triads [(phen)2Ru(d-HIm-t)M(t-HIm-d)Ru(phen)2]6+ (phen = 1,10-phenanthroline, d-HIm-t = heterotopic bipyridine–terpyridne type bridging ligand, and M = RuII and OsII) possess two acidic imidazole NH protons that upon interaction with anions give rise to considerable changes in their photophysical and electrochemical behaviors. Red-shifts of the absorption and emission maximum and a decrease in the M3+/M2+ potential occur when the triads are treated with basic anions. In fact, the triads can function as triple-channel sensors for F–, AcO–, CN–, OH–, and H2PO4 – in acetonitrile and as selective probes for CN– and SCN– in water. The equilibrium constants for the receptor–anion interaction are on the order of 106 M–1, while the limit of detection was on the order of 10–9 M. Temperature plays a key role in the luminescence properties of the triads by adjusting the energy barrier between the emitting triplet metal-to-ligand charge transfer and non-emitting triplet metal-centered levels. A decrease in temperature leads to increases in the emission intensity and lifetime of the triads displaying the “on state”, whereas an increase in temperature leads to a decrease in their emission characteristics and thus indicates the “off state” and that the process is fully reversible. In essence, the triads could function as potential switches on the basis of the reversible change in their spectral and redox behaviors under the influence of anion, acid, and temperature. The most important outcome of this study is mimicking several advanced Boolean and fuzzy logic functions by utilizing the spectral response of the triads upon the action of said external stimuli.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Anion and Temperature Responsive Molecular Switches Based on Trimetallic Complexes of Ru(II) and Os(II) That Demonstrate Advanced Boolean and Fuzzy Logic Functions

et al. 2022

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“…Analog electronic circuits are more appropriate for building Fuzzy Logic Systems as the electrical signals do not change abruptly in a sigmoid manner but smoothly in a hyperbolic or linear way [ 64 ]. More recently, molecules are drawn attention as promising tools for processing fuzzy logic [ 10 ].…”

Section: Perspectivesmentioning

confidence: 99%

“…Fuzzy logic plays a relevant role in the field of artificial intelligence as it is a good model of human ability to compute with words [ 9 ]. Recently, it has been shown that fuzzy logic is also processed at the molecular, supramolecular, and systems levels [ 10 ]. Therefore, the conceptual relationship between fuzzy logic, neuroscience, and QBism promises to be fertile for developing new interdisciplinary ideas in the field of artificial intelligence and unconventional computing.…”

Section: Introductionmentioning

confidence: 99%

Establishing a New Link between Fuzzy Logic, Neuroscience, and Quantum Mechanics through Bayesian Probability: Perspectives in Artificial Intelligence and Unconventional Computing

Gentili

2021

Molecules

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Human interaction with the world is dominated by uncertainty. Probability theory is a valuable tool to face such uncertainty. According to the Bayesian definition, probabilities are personal beliefs. Experimental evidence supports the notion that human behavior is highly consistent with Bayesian probabilistic inference in both the sensory and motor and cognitive domain. All the higher-level psychophysical functions of our brain are believed to take the activities of interconnected and distributed networks of neurons in the neocortex as their physiological substrate. Neurons in the neocortex are organized in cortical columns that behave as fuzzy sets. Fuzzy sets theory has embraced uncertainty modeling when membership functions have been reinterpreted as possibility distributions. The terms of Bayes’ formula are conceivable as fuzzy sets and Bayes’ inference becomes a fuzzy inference. According to the QBism, quantum probabilities are also Bayesian. They are logical constructs rather than physical realities. It derives that the Born rule is nothing but a kind of Quantum Law of Total Probability. Wavefunctions and measurement operators are viewed epistemically. Both of them are similar to fuzzy sets. The new link that is established between fuzzy logic, neuroscience, and quantum mechanics through Bayesian probability could spark new ideas for the development of artificial intelligence and unconventional computing.

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Catalyst: Systems chemistry links reactions to molecular function

Huang,

McGrath,

Audu

et al. 2024

Chem

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The Fuzziness in Molecular, Supramolecular, and Systems Chemistry

Abstract: The global challenges of the XXI century require a more in-depth analysis and investigation of complex systems [...]

Cited by 6 publications

References 39 publications

Anion and Temperature Responsive Molecular Switches Based on Trimetallic Complexes of Ru(II) and Os(II) That Demonstrate Advanced Boolean and Fuzzy Logic Functions

Anion and Temperature Responsive Molecular Switches Based on Trimetallic Complexes of Ru(II) and Os(II) That Demonstrate Advanced Boolean and Fuzzy Logic Functions

Establishing a New Link between Fuzzy Logic, Neuroscience, and Quantum Mechanics through Bayesian Probability: Perspectives in Artificial Intelligence and Unconventional Computing

Catalyst: Systems chemistry links reactions to molecular function

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