Abstract:
The various aspects presented herein relate to the field of perfumery. In particular, the present disclosure provides compositions having an increased and/or improved long- lastingness and/or fragrance profile. In addition, the present disclosure provides methods of using such compositions to increase and/or improve the long-lastingness and/or fragrance profile of a fragrance composition.
Abstract:
The invention relates to a volatile liquid chemical compound physical parameter database construction method; a fragrance physical composition evaporation prediction method and corresponding systems.
Abstract:
The present invention concerns a dynamic mixture obtained by combining, in the presence of water, at least one diamine derivative, comprising at least one benzylamine moiety, with at least one active aldehyde or ketone. The invention's mixture is capable of releasing in a controlled and prolonged manner said active compound, in particular perfuming ingredients, in the surrounding environment.
Abstract:
The present invention relates to a dynamic mixture in the form of a dynamic mixture obtained by reacting together, in the presence of water, at least one O-substituted hydroxylamine or S-substituted thiohydroxylamine derivative with at least one perfuming, flavoring, insect repellent or attractant, bactericide and/or fungicide aldehyde or ketone. The invention's mixture is capable of releasing in a controlled and prolonged manner said aldehyde or ketone in the surrounding environment. Furthermore, the present invention concerns also the use of said dynamic mixtures as perfuming ingredients as well as the perfuming compositions or perfumed articles comprising the invention's mixtures.
Abstract:
The system (200) for training an ensemble neural network device configured to execute the steps of: − providing (205) a set of exemplar data, comprising at least one set of inputs (220) and at least one set of outputs (225) associated to the set of inputs, to a neural network device comprising an ensemble (230) of neural network devices, configured to provide independent predictions based upon the exemplar data, − operating (210) the neural network device based upon the set of exemplar data, − obtaining (215) the trained neural network device configured to provide an output, − the neural network device further comprising at least two independent activation functions, whereof at least two of the independent activation functions are representative of the statistical distribution of the plurality of independent predictions, the neural network device being configured to provide at least one output (235, 236) for at least two said independent activation functions and − the step of operating further comprising a step of operating each neural network device of the ensemble to provide an ensemble of outputs, the neural network device being trained to minimize the value representative of at least two said independent activation functions.
Abstract:
The invention relates to a volatile liquid chemical compound physical parameter database construction method; a fragrance physical composition evolution prediction method and corresponding systems.
Abstract:
The present invention provides 3- to 7-membered l,3-diaza-4-oxo-heterocyclic derivatives, such as imidazolidinone derivatives, capable of releasing in a controlled manner a biologically active aldehyde or ketone in the surrounding. The invention also relates to the use of these compounds as perfuming or flavoring ingredients, as well as to the perfuming compositions and consumer articles containing such derivatives. It also provides a process for preparing said derivatives of the invention.
Abstract:
The computer-implemented method (100) for training an autoencoder neural network or generative adversarial network device to generate indeterministic and realistic digital representations of new fragrance or flavor ingredient compositions to be compounded, comprises the steps of: - providing (105) an original set of exemplar fragrance or flavor composition digital identifiers, said exemplar fragrance or flavor composition digital identifiers being representative of materialized fragrance or flavor compositions comprising at least two distinct ingredients and - training (110) an autoencoder device or generative adversarial network device using the original set of exemplar fragrance or flavor composition digital identifiers to generate a fragrance or flavor composition generative model trained to generate new fragrance or flavor ingredient compositions, comprising at least two distinct ingredients, to be compounded. The trained autoencoder device or generative adversarial network device can be used to generate new fragrance or flavor ingredient compositions.
Abstract:
The chemical reaction encoding method (100) for one-step, multi-step and equilibrium reactions, comprises: - a step (105) of receiving, upon a computer interface, a chemical reaction graph comprising at least one chemical reaction reagent and at least one chemical reaction product, - a first step (110) of encoding, by a computing device, said chemical reaction graph describing the structure of at least one said reagent and said product, - a step (115) of determination, by a computing device, of changing bonds within the encoding representative of the chemical structures of at least one said reagent and said product, - a second step (120) of encoding, by a computing device, in a single string of characters, for at least one changing bond determined, at least one character representative of an atom subject to the change of bond, at least one character representative of the type of changing bond determined and at least one character representative of an atom resulting from the change of bond, in which a changing bond is encoded by a set of two characters representative of the changing bond determined, the first character being representative of the reagent bond and the second character being representative of the product bond, each character being selected in a library of bijective characters wherein one character is representative of one changing bond type and - a step (125) of providing, upon a computer interface, the string of characters corresponding to the encoding of changing bonds of the chemical reaction.