Functionalization of SBA-15 mesoporous silica by Cu-phosphonate units: Probing of synthesis route

Laskowski, Łukasz; Laskowska, Magdalena

doi:10.1016/j.jssc.2014.08.034

Cited by 33 publications

(30 citation statements)

References 19 publications

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“…The result of experiments based on, e.g., Raman and EDX spectra [6,10,11] are agreed with theoretical analysis what confirm correctness of the models for supplementary investigations also theoretic. Carried out research can lead, for example, to conclusions about homogenous distribution of active units inside silica matrix [7,10]. On the one hand, the probabilistic aspect has to be regarded in quantum and spin magnetic processes [5,6] but on the other hand the parallel activity nature or maybe, in future, conversion is inherent feature of these conventions.…”

Section: Introductionsupporting

confidence: 81%

“…molecules [2,8,13,17]. The result of experiments based on, e.g., Raman and EDX spectra [6,10,11] are agreed with theoretical analysis what confirm correctness of the models for supplementary investigations also theoretic. Carried out research can lead, for example, to conclusions about homogenous distribution of active units inside silica matrix [7,10].…”

Section: Introductionsupporting

confidence: 80%

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Consideration of analogies between magnetic and quantum notices for molecular network

2018

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Abstract. Magnetic properties of spin glass materials [9,13] are close to quantum interpretation in their nature description [17]. Therefore, we can look for possible kinds of analogies in process of defining theoretic and practice conventions, rules and applications of the specific characteristics in elaboration quantum calculation strategies. We have not investigated possibilities to create directly quantum calculation units and practice calculation structures like qubits, registers, gates etc. [4,18], but dealing with spin and quantum definitions and descriptions we can try to involve these notices from different domains. Such a pragmatic approach only intuitively gives chances to create the transition theory and implement it even partially. Obviously, almost all of us have heard about quantum factorization, cryptography or teleportation but it is obtained as a result of exploration casually selected quantum properties and adapting them to mathematic problems. In our approach, we carefully investigate involutions among spin and quantum nature looking at possible implementation in molecular network.

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Section: Introductionsupporting

confidence: 81%

Section: Introductionsupporting

confidence: 80%

Consideration of analogies between magnetic and quantum notices for molecular network

2018

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“…The physical-chemistry properties were checked by Raman spectroscopy supported by DFT simulations, SQUID magnetometry and EPR spectroscopy. Also technology of silica activation by magnetic ions has been tested before [16,17]. Having well-investigated basic material, it is almost certain, that molecular neural network will be created in the nearest time.…”

Section: The Structure Of Molecular Neural Networkmentioning

confidence: 99%

Molecular Approach to Hopfield Neural Network

Laskowski

Laskowska

Jelonkiewicz

et al. 2015

Artificial Intelligence and Soft Computing

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Abstract. The present article puts forward a completely new technology development , a spin glass-like molecular implementation of the Hopfield neural structure. This novel approach uses magnetic molecules homogenously distributed in mesoporous silica matrix, which forms a base for a converting unit, an equivalent of a neuron in the Hopfield network. Converting units interact with each other via a fully controlled magnetic fields, which corresponds to weighted interconnections in the Hopfield network. This novel technology enables building fast, high-density content addressable associative memories. In particular, it is envisaged that in the future this approach can be scaled up to mimic memory with human-like characteristics. This would be a breakthrough in artificial brain implementations and usher in a new type of highly intelligent beings. Another application relates to systems designed for multi-objective optimization (multiple criteria decision making).

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“…[16,69,83,97,104,105,106,107]) and many other (see e.g. [32,33,34,50]) issues. This paper is presented as follows: in Section 2 a description of proposed system and its tuning process for nonlinear classification is presented.…”

Section: Introductionmentioning

confidence: 99%

A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification

Łapa

Cpałka

Galushkin

2015

Artificial Intelligence and Soft Computing

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Abstract. In this paper a new approach for construction of neuro-fuzzy systems for nonlinear classification is introduced. In particular, we concentrate on the flexible neuro-fuzzy systems which allow us to extend notation of rules with weights of fuzzy sets. The proposed approach uses possibilities of hybrid evolutionary algorithm and interpretability criteria of expert knowledge. These criteria include not only complexity of the system, but also semantics of the rules. The approach presented in our paper was tested on typical nonlinear classification simulation problems.

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Functionalization of SBA-15 mesoporous silica by Cu-phosphonate units: Probing of synthesis route

Cited by 33 publications

References 19 publications

Consideration of analogies between magnetic and quantum notices for molecular network

Consideration of analogies between magnetic and quantum notices for molecular network

Molecular Approach to Hopfield Neural Network

A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification

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