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March 2022 |
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December 1979 |
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QSPR study for prediction of boiling points of 2475 organic compounds using stochastic gradient boosting
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January 2014 |
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Illuminating Flash Point: Comprehensive Prediction Models
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November 2014 |
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Assessing Graph‐based Deep Learning Models for Predicting Flash Point
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February 2020 |
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The DIPPR� databases
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January 1996 |
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A review on geothermal Organic Rankine cycles: modeling and optimization
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October 2020 |
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Prediction of some important physical properties of sulfur compounds using quantitative structure–properties relationships
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August 2008 |
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Selection and Evaluation of Dry and Isentropic Organic Working Fluids Used in Organic Rankine Cycle Based on the Turning Point on Their Saturated Vapor Curves
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July 2019 |
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Radial basis function neural network based QSPR for the prediction of critical pressures of substituted benzenes
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January 2002 |
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Radial basis function neural network-based QSPR for the prediction of critical temperature
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May 2002 |
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Performance, emission and combustion characteristic of a multicylinder DI diesel engine running on diesel–ethanol–biodiesel blends of high ethanol content
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December 2011 |
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Ethanol blends in spark ignition engines: RON, octane-added value, cooling effect, compression ratio, and potential engine efficiency gain
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April 2017 |
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Simultaneous working fluids design and cycle optimization for Organic Rankine cycle using group contribution model
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September 2017 |
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Impact of ethanol blending into gasoline on aromatic compound evaporation and particle emissions from a gasoline direct injection engine
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September 2019 |
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On the systematic design and selection of optimal working fluids for Organic Rankine Cycles
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May 2010 |
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Transfer learning for solvation free energies: From quantum chemistry to experiments
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August 2021 |
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QSPR study on normal boiling point of acyclic oxygen containing organic compounds by radial basis function artificial neural network
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October 2016 |
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The role of the power sector in net-zero energy systems
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December 2021 |
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Performance Investigation of Natural Refrigerant R290 as a Substitute to R22 in Refrigeration Systems
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March 2017 |
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How to evaluate the performance of sub-critical Organic Rankine Cycle from key properties of working fluids by group contribution methods?
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October 2020 |
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Effect of working fluids on organic Rankine cycle for waste heat recovery
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June 2004 |
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DNN-PP: A novel Deep Neural Network approach and its applicability in drug-related property prediction
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March 2023 |
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Use of transformed correlations to help screen and populate properties within databanks
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August 2007 |
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QSPR prediction of N-boiling point and critical properties of organic compounds and comparison with a group-contribution method
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January 2008 |
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Physical model for vaporization
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September 2009 |
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Determination of normal boiling vaporization enthalpy using a new molecular-based model
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March 2012 |
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A group contribution model for determining the vaporization enthalpy of organic compounds at the standard reference temperature of 298K
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December 2013 |
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Prediction of the normal boiling point of oxygen containing organic compounds using quantitative structure–property relationship strategy
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November 2016 |
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Nonlinear group contribution model for the prediction of flash points using normal boiling points
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October 2017 |
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Machine learning-quantitative structure property relationship (ML-QSPR) method for fuel physicochemical properties prediction of multiple fuel types
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November 2021 |
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Quantitative structure–property relationship studies for predicting flash points of alkanes using group bond contribution method with back-propagation neural network
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August 2007 |
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Insight into the contribution of individual functional groups to the flash point of organic compounds
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February 2014 |
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QSPR modeling of flash points: An update
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September 2007 |
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Prediction of boiling points of organic compounds by QSPR tools
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July 2013 |
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QSPR estimation models of normal boiling point and relative liquid density of pure hydrocarbons using MLR and MLP-ANN methods
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March 2019 |
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Scalable deeper graph neural networks for high-performance materials property prediction
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May 2022 |
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Combustion machine learning: Principles, progress and prospects
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July 2022 |
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Kinetic subspace investigation using neural network for uncertainty quantification in nonpremixed flamelets
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January 2023 |
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Physics-informed graph neural networks for predicting cetane number with systematic data quality analysis
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January 2023 |
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Review of recent developments of quantitative structure-property relationship models on fire and explosion-related properties
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September 2019 |
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Effect of dry hydrocarbons and critical point temperature on the efficiencies of organic Rankine cycle
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April 2011 |
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A review of thermodynamic cycles and working fluids for the conversion of low-grade heat
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December 2010 |
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A review of working fluid and expander selections for organic Rankine cycle
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August 2013 |
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Categorization and analysis of heat sources for organic Rankine cycle systems
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October 2016 |
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A review of solar-driven organic Rankine cycles: Recent challenges and future outlook
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October 2021 |
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Molecular based models for estimation of critical properties of pure refrigerants: Quantitative structure property relationship (QSPR) approach
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February 2015 |
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A General Guidebook for the Theoretical Prediction of Physicochemical Properties of Chemicals for Regulatory Purposes
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December 2015 |
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Predicting the Cetane Number of Biodiesel Fuels from Their Fatty Acid Methyl Ester Composition
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December 2016 |
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Measurement of Heat of Vaporization for Research Gasolines and Ethanol Blends by DSC/TGA
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November 2018 |
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Development of a Data-Derived Sooting Index Including Oxygen-Containing Fuel Components
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September 2019 |
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Combining Group-Contribution Concept and Graph Neural Networks Toward Interpretable Molecular Property Models
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January 2023 |
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Better Informed Distance Geometry: Using What We Know To Improve Conformation Generation
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November 2015 |
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Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism
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August 2019 |
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Evidential Deep Learning for Guided Molecular Property Prediction and Discovery
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July 2021 |
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Design of Promising Working Fluids for Emergent Combined Cooling, Heating, and Power (CCHP) Systems
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August 2021 |
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Metrics of Green Chemistry and Sustainability: Past, Present, and Future
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November 2017 |
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Prediction of boiling points and critical temperatures of industrially important organic compounds from molecular structure
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July 1994 |
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Neural Network Based Quantitative Structural Property Relations (QSPRs) for Predicting Boiling Points of Aliphatic Hydrocarbons
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April 2000 |
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Normal Boiling Points for Organic Compounds: Correlation and Prediction by a Quantitative Structure−Property Relationship
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January 1998 |
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Relationships of Critical Temperatures to Calculated Molecular Properties
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February 1998 |
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Prediction of Critical Temperatures and Pressures of Industrially Important Organic Compounds from Molecular Structure
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May 1998 |
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Quantitative Structure−Property Relationships for the Estimation of Boiling Point and Flash Point Using a Radial Basis Function Neural Network
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May 1999 |
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Quantitative Correlation of Physical and Chemical Properties with Chemical Structure: Utility for Prediction
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October 2010 |
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Improved Prediction of Hydrocarbon Flash Points from Boiling Point Data
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August 2010 |
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Flash Point and Cetane Number Predictions for Fuel Compounds Using Quantitative Structure Property Relationship (QSPR) Methods
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September 2011 |
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Group Contribution Method To Predict Boiling Points and Flash Points of Alkylbenzenes
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October 2011 |
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A Fuzzy ARTMAP-Based Quantitative Structure−Property Relationship (QSPR) for Predicting Physical Properties of Organic Compounds
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May 2001 |
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Simple Method to Evaluate and to Predict Flash Points of Organic Compounds
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March 2011 |
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Empirical Method for Representing the Flash-Point Temperature of Pure Compounds
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April 2011 |
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Prediction of Vaporization Enthalpy of Pure Compounds using a Group Contribution-Based Method
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April 2011 |
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Pure and Pseudo-pure Fluid Thermophysical Property Evaluation and the Open-Source Thermophysical Property Library CoolProp
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January 2014 |
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A Review of Flash Point Prediction Models for Flammable Liquid Mixtures
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July 2014 |
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Thermodynamics of the Liquid State
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April 1943 |
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Vapor Pressure, Heat Capacity, and Density along the Saturation Line: Measurements for Benzenamine, Butylbenzene,sec-Butylbenzene,tert-Butylbenzene, 2,2-Dimethylbutanoic Acid, Tridecafluoroheptanoic Acid, 2-Butyl-2-ethyl-1,3-propanediol, 2,2,4-Trimethyl-1,3-pentanediol, and 1-Chloro-2-propanol
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April 2002 |
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Use of the DIPPR Database for Development of QSPR Correlations: Normal Boiling Point
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July 2002 |
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Research Progress on Flash Point Prediction
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July 2010 |
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Prediction of the Enthalpy of Vaporization of Organic Compounds at Their Normal Boiling Point with the Positional Distributive Contribution Method
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November 2010 |
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Position Group Contribution Method for the Prediction of Critical Temperatures of Organic Compounds
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April 2008 |
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De novo protein design by deep network hallucination
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December 2021 |
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Catalytic synthesis of distillate-range ethers and olefins from ethanol through Guerbet coupling and etherification
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January 2019 |
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Delfos: deep learning model for prediction of solvation free energies in generic organic solvents
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January 2019 |
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Graph convolutional neural networks with global attention for improved materials property prediction
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January 2020 |
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Iterative experimental design based on active machine learning reduces the experimental burden associated with reaction screening
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January 2020 |
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BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules
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January 2021 |
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Collective variable discovery in the age of machine learning: reality, hype and everything in between
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January 2022 |
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Bioderived ether design for low soot emission and high reactivity transport fuels
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January 2022 |
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Designing solvent systems using self-evolving solubility databases and graph neural networks
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January 2024 |
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A Unique Equation to Estimate Flash Points of Selected Pure Liquids Application to the Correction of Probably Erroneous Flash Point Values
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December 2004 |
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Machine learning of molecular properties: Locality and active learning
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June 2018 |
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Performance-advantaged ether diesel bioblendstock production by a priori design
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December 2019 |
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Estimation of Pure-Component Properties from Group-Contributions
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July 1987 |
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PubChem 2019 update: improved access to chemical data
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October 2018 |
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MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks
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April 2023 |
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Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning
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September 2019 |
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Biodiesel/butanol blends as a pure biofuel excluding fossil fuels: Effects on diesel engine combustion, performance, and emission characteristics
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May 2020 |
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Building attention and edge message passing neural networks for bioactivity and physical–chemical property prediction
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January 2020 |
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Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
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February 2021 |
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QSPR study on the boiling points of aliphatic esters using the atom-type-based AI topological indices
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January 2019 |
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A Review of Physics-Informed Machine Learning in Fluid Mechanics
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February 2023 |
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Comparison between Multi-Linear- and Radial-Basis-Function-Neural-Network-Based QSPR Models for The Prediction of The Critical Temperature, Critical Pressure and Acentric Factor of Organic Compounds
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June 2018 |
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Reducing Sample Loss in Measurement of Heat of Vaporization of Ethanol/Gasoline Blends by Differential Scanning Calorimetry/Thermogravimetric Analysis
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September 2021 |