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公开(公告)号：US12094577B2
公开(公告)日：2024-09-17
申请号：US17017121
申请日：2020-09-10
Applicant: Northeast Petroleum University
Inventor： Shansi Tian , Bo Liu , Fang Zeng , Xiaofei Fu , Ya'ao Chi , Tong Wu , Haiyang Yan
Abstract: A method and system for detecting an amount of shale oil based on an occurrence state, wherein an occurrence-state-based shale oil quantification model is established in accordance with a kerogen swelled amount, an amount of kerogen absorbed oil, an amount of free oil in an organic pore, an amount of adsorbed oil by an inorganic mineral and an amount of free oil in an inorganic pore, and detects an amount of shale oil is detected in accordance with the occurrence-state-based shale oil quantification model, such that the accuracy of the evaluation of shale oil mobility is improved.
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2.发明公开公开(公告)号：US20240296915A1
公开(公告)日：2024-09-05
申请号：US18573002
申请日：2022-06-23
Applicant: NORSK HYDRO ASA
Inventor： Trond FURU , Ole Runar MYHR
Abstract: The present invention relates to mixing raw materials from two or more aluminium metal sources from a Metal Base. The Raw material is categorized (“R”, i=1−n) and stored in a database from where candidate alloys are randomly proposed by a computer and each single Candidate alloy entity is categorized (“C”, j=1−m). Candidate alloys having a CO2 index that is above a set threshold can be discarded for further evaluation. The remaining candidate alloys are further evaluated and qualified with regard to their ability to fulfil the actual functions of use, for instance as a specific product and followingly a set of Qualified Candidate alloys (“QC”, k=1−m) can be defined. The invention also relates to a product produced by the method.
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公开(公告)号：US20240282412A1
公开(公告)日：2024-08-22
申请号：US18523079
申请日：2023-11-29
Inventor： Kyoung Min MIN , In Hyo LEE , Joon Chul KIM
IPC: G16C60/00 , G06N3/0455 , G06N3/0475 , G16C20/30 , G16C20/70
CPC classification number: G16C60/00 , G06N3/0455 , G06N3/0475 , G16C20/30 , G16C20/70
Abstract: A technology capable of finding new 2D materials with high elastic modulus and shear modulus through using deep learning, machine learning, and high-throughput calculation methods are described. A device for modeling 2-dimensional (2D) material using machine learning includes a material classification unit receiving data on the virtual inorganic material chemical formulas from the virtual inorganic material generation unit and classifying a 2D material among the plurality of virtual inorganic material chemical formulas into a preliminary 2D material, a space group analysis unit receiving data on the preliminary 2D material from the material classification unit, predicting the space group of the preliminary 2D material, and selecting the preliminary 2D material having the same space group as an existing 2D material as a structurally similar 2D material.
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4.发明公开公开(公告)号：US20240177811A1
公开(公告)日：2024-05-30
申请号：US18479480
申请日：2023-10-02
Applicant: Tata Consultancy Services Limited
Inventor： SURABHI SHRIVASTAVA , SHANKAR BALAJIRAO KAUSLEY , SURYADIP BHATTACHARJEE , SOUMYADIPTA MAITI , BEENA RAI
Abstract: Most techniques to estimate the service life of coatings are experimental in nature. Experimental testing of coatings is expensive (destructive in nature) and time consuming. Present disclosure provides system and method that predict change in chemical composition of the coating using reaction mechanism of the coating components in presence of weathering causing environmental agents. The system partial differential equations wherein chemical model is combined with the physical model. The changes in chemical composition enable determining the change in surface roughness and thickness as the weathering of the coating happens which can be correlated with other parameters such as gloss loss, fracture toughness, and the like. Rate of initiation reaction which leads to micro-randomness in concentration profile is randomized to mimic inherently stochastic (random) nature of coating degradation. Service life of coating is further estimated based on values of physical properties of coating beyond which the coating is characterized as unserviceable.
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公开(公告)号：US11994488B2
公开(公告)日：2024-05-28
申请号：US17530049
申请日：2021-11-18
Applicant: Endress+Hauser Group Services AG
Inventor： Dimitri Vaissiere , Julia Mildner , André Lemke
IPC: G01N27/27 , G01N27/02 , G01N27/30 , G01N27/333 , G16C60/00
CPC classification number: G01N27/27 , G01N27/02 , G01N27/302 , G01N27/333 , G16C60/00
Abstract: A method of predictive monitoring of a variable of a medium located in a container of a facility comprises steps of continuously recording data comprising measured values, based on training data determining a classification method capable of identifying data sets that have each been measured during one of the specific operation phases, performing the classification method and based on the data sets identified by the classification method determining a time series of compliancy indicators indicative of a degree of compliancy of at least one property of the characteristic of the measured values to a corresponding reference property of the reference characteristic. Based on the time series at least once determining a time remaining until the degree of compliancy indicated by compliancy indicators will drop below a predetermined minimum degree of compliancy; and providing an output informing about the remaining time.
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Patent Agency Ranking
公开(公告)号：US20240161878A1
公开(公告)日：2024-05-16
申请号：US18552465
申请日：2022-03-29
Applicant: Eastman Chemical Company
Inventor： Mark Gregory Brucks , Conrad E. Gamble
CPC classification number: G16C60/00 , G16C20/70 , F28F2200/00
Abstract: Various embodiments are directed to improving the accuracy of existing hardware-based fluid quality measurement systems and particular computer applications. For instance, some embodiments improve the accuracy of these technologies by generating, via a computer model, an estimate of a fluid life for a heat transfer fluid and/or a score that indicates a quality of the heat transfer fluid, among other things. Additional embodiments also improve human-computer interaction, user interfaces, and computer resource consumption relative to existing technologies.
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公开(公告)号：US20240136029A1
公开(公告)日：2024-04-25
申请号：US18328467
申请日：2023-06-01
Applicant: Purdue Research Foundation
Inventor： Junli Liu , Bernard Y Tao
Abstract: A method for predicting yield and composition changes during urea inclusion fractionation to select a fatty acid methyl ester source for biofuel. The method can include heating a solid urea inclusion compound to a decomposition temperature, allowing the solid urea inclusion compound to decompose, heating again to a melting temperature, allowing the solid urea to melt, cooling to the decomposition temperature, and cooling again to a temperature below the decomposition temperature. Each heating, cooling, decomposing, and melting step can have its change in enthalpy and entropy recorded. A thermodynamic model can be calculated using the recorded changes in enthalpy and entropy. The thermodynamic model can predict a yield and composition of the solid urea inclusion compound and can be used to select a fatty acid methyl ester source using the predicted yield and composition.
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公开(公告)号：US20240013869A1
公开(公告)日：2024-01-11
申请号：US18025311
申请日：2021-08-30
Applicant: AMGEN INC.
Inventor： Ron Christopher Kelly , Mary Chaves , Marc A. Caporini , Fabrice Schlegel
Abstract: A method of computational modeling to predict stability of a lyophilized drug product includes receiving model parameters describing a virtual cake, a virtual vial, a virtual stopper, and a virtual ambient environment. The method also includes computing, by implementing a computational model and at each of a plurality of virtual time steps, a change in water amount or concentration in the virtual cake, virtual air within the virtual vial, and the virtual stopper, in part by applying the model parameters to the computational model. The method also includes generating information for display to a user via a user interface.
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公开(公告)号：US20230402136A1
公开(公告)日：2023-12-14
申请号：US17806075
申请日：2022-06-08
Applicant: Microsoft Technology Licensing, LLC
Inventor： Shuxin ZHENG , Yu SHI , Tie-Yan LIU
Abstract: A computing system is provided, including a processor configured to, during a training phase, provide a training data set, including a pre-transformation molecular graph and post-transformation energy parameter value representing an energy change in a molecular system following an energy transformation. The pre-transformation graph includes a plurality of normal nodes connected by edges representing a distance and a bond between a pair of the normal nodes. The processor is further configured to encode structural information in each pre-transformation molecular graph as learnable embeddings, the structural information describing the relative positions of the atoms represented by the normal nodes. The structural information includes an edge encoding representing a type of bond between a pair of normal nodes in each pre-transformation molecular graph, and a spatial encoding representing a shortest path distance along the edges between a pair of normal nodes in each pre-transformation molecular graph.
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公开(公告)号：US11786852B2
公开(公告)日：2023-10-17
申请号：US16990449
申请日：2020-08-11
Applicant: Hyundai Motor Company , Kia Motors Corporation , Seoul National University R&DB Foundation
Inventor： Jung Wook Lee , Seong Je Kim , Hyeong Rae Lee , Yeon June Kang , Sung Soo Yang
IPC: B01D39/16 , G16C20/30 , G16C60/00 , G01N23/046
CPC classification number: B01D39/1692 , G01N23/046 , G16C20/30 , G16C60/00
Abstract: The present invention relates to a method for predicting physical properties of an amorphous porous material which may predict an acoustic physical property value and an absorption coefficient from parameters of an amorphous porous material, and may estimate the acoustic characteristics with the amorphous porous material which is an amorphous specimen even without separately producing a formalized specimen such as a cylindrical specimen or a flat specimen. Further, the method for predicting physical properties of the amorphous porous material may estimate the acoustic physical properties through the analysis of a three-dimensional pore connection structure, which is a microstructure of an amorphous specimen, even without acoustic impedance, thereby estimating the acoustic physical properties which accurately reflect the characteristics of the actual specimen.
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