[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Drechsler et al., 2016 - Google Patents

Exploring superior structural materials using multi-objective optimization and formal techniques

Drechsler et al., 2016

View PDF
Document ID
12677693493091190853
Author
Drechsler R
Eggersgluß S
Ellendt N
Huhn S
Madler L
Publication year
Publication venue
2016 Sixth International Symposium on Embedded Computing and System Design (ISED)

External Links

Snippet

The continuous progress in engineering requires increasingly powerful materials being utilized in complex constructions. Commonly used methodologies are hardly capable to explore materials with improved properties, ie, fulfilling a certain performance profile. An …
Continue reading at www.dfki.de (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • G06F17/5018Computer-aided design using simulation using finite difference methods or finite element methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/70Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
    • G06F19/708Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for data visualisation, e.g. molecular structure representations, graphics generation, display of maps or networks or other visual representations
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/16Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for molecular structure, e.g. structure alignment, structural or functional relations, protein folding, domain topologies, drug targeting using structure data, involving two-dimensional or three-dimensional structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/28Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/70Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
    • G06F19/702Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for analysis and planning of chemical reactions and syntheses, e.g. synthesis design, reaction prediction, mechanism elucidation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis

Similar Documents

Publication Publication Date Title
Drechsler et al. Exploring superior structural materials using multi-objective optimization and formal techniques
Cai et al. Efficient generalized surrogate-assisted evolutionary algorithm for high-dimensional expensive problems
KR20180014471A (en) Method and apparatus for searching new material
Joly et al. Machine learning enabled adaptive optimization of a transonic compressor rotor with precompression
Zheng et al. A parameterized lower confidence bounding scheme for adaptive metamodel-based design optimization
Zhou et al. Crack growth rate model derived from domain knowledge-guided symbolic regression
Flynn et al. Nudged elastic band approach to nuclear fission pathways
Craven et al. Data-driven methods for diffusivity prediction in nuclear fuels
JP6003909B2 (en) Blast furnace air permeability prediction apparatus and blast furnace air permeability prediction method
Qin et al. Knowledge-based bidirectional thermal variable modelling for directed energy deposition additive manufacturing
Cremanns et al. Efficient multi-objective optimization of labyrinth seal leakage in steam turbines based on hybrid surrogate models
Domitr et al. Comparison of inverse uncertainty quantification methods for critical flow test
JP7020500B2 (en) Prediction model generation method, corrosion amount prediction method for metal materials, prediction model generation program and prediction model generation device
CN118098404A (en) Method, equipment and medium for predicting molecular reaction performance of catalyst
Zhang et al. Soft sensor model development for cobalt oxalate synthesis process based on adaptive Gaussian mixture regression
CN107358001A (en) A kind of constrained global optimization method based on Kriging models
Hartwig et al. Compressor blade design for stationary gas turbines using dimension reduced surrogate modeling
CN109580918B (en) A method for predicting the molecular composition of naphtha
Cinquegrana et al. Efficient global optimization method for multipoint airfoil Design
Weaver-Rosen et al. A novel method for calculating the parametric hypervolume indicator
Li et al. Expensive inequality constraints handling methods suitable for dynamic surrogate-based optimization
Miao et al. Surrogate Model Development for Digital Experiments in Welding
Gentile et al. Surrogate assisted optimization of particle reinforced metal matrix composites
Poethke et al. Aerodynamic optimization of turbine airfoils using multi-fidelity surrogate models
He et al. A Parallel Multi-objective Efficient Global Optimization Method and Its Application of Multi-stage Axial-Flow Compressor Optimization Design