@article{GrundyLiuJungDecterovPelton2008Part1,
  title   = {A Model to Calculate the Viscosity of Silicate Melts. {{Part I}}: {{Viscosity}} of Binary {{SiO2}}--{{MeOx}} Systems (Me = Na, {{K}}, ca, Mg, Al)},
  author  = {Grundy, A. Nicholas and Liu, Honqin and Jung, In-Ho and Decterov, Sergei A. and Pelton, Arthur D.},
  year    = {2008},
  journal = {International Journal of Materials Research},
  volume  = {99},
  number  = {11},
  pages   = {1185--1194},
  doi     = {doi:10.3139/146.101752},
  urldate = {2023-08-22},
  file    = {/home/hannom/Zotero/storage/LWYFFHAG/Grundy et al. - 2008 - A model to calculate the viscosity of silicate mel.pdf}
}
@article{GrundyJungPeltonDecterov2008Part2,
  title   = {A Model to Calculate the Viscosity of Silicate Melts. {{Part II}}: {{The NaO0}}.5--{{MgO}}--{{CaO}}--{{AlO1}}.5--{{SiO2}} System},
  author  = {Grundy, A. Nicholas and Jung, In-Ho and Pelton, Arthur D. and Decterov, Sergei A.},
  year    = {2008},
  journal = {International Journal of Materials Research},
  volume  = {99},
  number  = {11},
  pages   = {1195--1209},
  doi     = {doi:10.3139/146.101753},
  urldate = {2023-08-22},
  file    = {/home/hannom/Zotero/storage/Z543298B/Grundy et al. - 2008 - A model to calculate the viscosity of silicate mel.pdf}
}
@article{KimPeltonDecterov2012Part3,
  title   = {A Model to Calculate the Viscosity of Silicate Melts. {{Part III}}: {{Modification}} for Melts Containing Alkali Oxides},
  author  = {Kim, Wan-Yi and Pelton, Arthur D. and Decterov, Sergei A.},
  year    = {2012},
  journal = {International Journal of Materials Research},
  volume  = {103},
  number  = {3},
  pages   = {313--328},
  doi     = {doi:10.3139/146.110637},
  urldate = {2023-08-22},
  file    = {/home/hannom/Zotero/storage/TULB7GRN/Kim et al. - 2012 - A model to calculate the viscosity of silicate mel.pdf}
}
@misc{rohatgiAutomerisIoAI2024,
  title        = {Automeris.Io: {{AI}} Assisted Data Extraction from Charts Using {{WebPlotDigitizer}}},
  author       = {Rohatgi, Ankit},
  year         = {2024},
  urldate      = {2024-05-15},
  howpublished = {https://automeris.io/},
  file         = {/home/hannom/Zotero/storage/FVWDHCNG/automeris.io.html}
}
@article{broshModelCalculateViscosity2012Part4,
  title      = {A Model to Calculate the Viscosity of Silicate Melts. {{Part IV}}: {{Borosilicate}} Melts Containing Alkali Metals},
  shorttitle = {A Model to Calculate the Viscosity of Silicate Melts {{Part V}}},
  author     = {Brosh, Eli and Pelton, Arthur and Decterov, Sergei},
  year       = {2012},
  month      = may,
  journal    = {International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde)},
  volume     = {103},
  pages      = {537},
  doi        = {10.3139/146.110639},
  abstract   = {Our recently developed model for the viscosity of borosilicate melts is extended to describe and predict the viscosities of melts containing alkali oxides. In addition to the two model parameters that are required for each B2O3-MOx melt, where MOx is a basic oxide, three more parameters are needed when MOx is an alkali oxide to account for the formation of clusters near the tetraborate composition. The additional parameters represent the size and Gibbs energy of formation of these clusters and their contribution to the activation energy of the viscous flow. A general algorithm for the calculation of the viscosity is presented which summarizes the application of the viscosity model to melts that can contain two network formers, SiO2 and B2O3, any basic oxide and amphoteric oxides exhibiting the Charge Compensation Effect such as Al2O3. The predictive ability of the model is tested on all ternarysystems of the B2O3-Na2O-K2O-CaO-MgO-PbO-ZnO-Al2O3-SiO2 system containing both an alkali oxide and B2O3 for which experimental data are available and on several multicomponent glass-forming melts around commercial glass compositions.},
  file       = {/home/hannom/Zotero/storage/32ZKPACH/Brosh et al. - 2012 - A model to calculate the viscosity of silicate mel.pdf}
}
@article{broshModelCalculateViscosity2012Part5,
  title      = {A Model to Calculate the Viscosity of Silicate Melts. {{Part V}}: {{Alkali-free}} Borosilicate Melts},
  shorttitle = {A Model to Calculate the Viscosity of Silicate Melts {{Part IV}}},
  author     = {Brosh, Eli and Pelton, Arthur and Decterov, Sergei},
  year       = {2012},
  month      = apr,
  journal    = {International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde)},
  volume     = {103},
  pages      = {494},
  doi        = {10.3139/146.110638},
  abstract   = {Our recently developed model for the viscosity of silicate melts is extended to describe and predict the viscosities of oxide melts containing boron. The model requires three adjustable parameters to reproduce the viscosity of B2O3-SiO2 melts and two parameters for each B2O3-MOx melt, where MOx is a basic oxide other than an alkali oxide. All available experimental data have been collected for binary melts formed by B2O3 with SiO2, Al2O3, CaO, MgO, ZnO, PbO to calibrate the model. The viscosities of the B2O3-containing ternary and higher-ordersystems of the B2O3-CaO-MgO-PbO-ZnO-SiO2 system and of the B2O3-CaO-MgO-PbO-ZnO-Al2O3 system are then predicted by the model without any additional adjustable parameters. Experimental data were found for only five suchsystems: B2O3-PbO-SiO2, B2O3-CaO-SiO2, B2O3-PbO-ZnO, B2O3-PbO-Al2O3 and B2O3-CaO- Al2O3. Predictions of the model are compared to these experimental data.},
  file       = {/home/hannom/Zotero/storage/ME3EFIX2/Brosh et al. - 2012 - A model to calculate the viscosity of silicate mel.pdf}
}
@article{endresSimplicialHomologyAlgorithm2018a,
  title    = {A Simplicial Homology Algorithm for {{Lipschitz}} Optimisation},
  author   = {Endres, Stefan C. and Sandrock, Carl and Focke, Walter W.},
  year     = {2018},
  month    = oct,
  journal  = {Journal of Global Optimization},
  volume   = {72},
  number   = {2},
  pages    = {181--217},
  issn     = {1573-2916},
  doi      = {10.1007/s10898-018-0645-y},
  urldate  = {2024-05-16},
  abstract = {The simplicial homology global optimisation (SHGO) algorithm is a general purpose global optimisation algorithm based on applications of simplicial integral homology and combinatorial topology. SHGO approximates the homology groups of a complex built on a hypersurface homeomorphic to a complex on the objective function. This provides both approximations of locally convexdomains in the search space through Sperner's lemma and a useful visual tool for characterising and efficiently solving higher dimensional black and grey box optimisation problems. This complex is built up using sampling points within the feasible search space as vertices. The algorithm is specialised in finding all the local minima of an objective function with expensive function evaluations efficiently which is especially suitable to applications such as energy landscape exploration. SHGO was initially developed as an improvement on the topographical global optimisation (TGO) method. It is proven that the SHGO algorithm will always outperform TGO on function evaluations if the objective function is Lipschitz smooth. In this paper SHGO is applied to non-convex problems with linear and box constraints with bounds placed on the variables. Numerical experiments on linearly constrained test problems show that SHGO gives competitive results compared to TGO and the recently developed Lc-DISIMPL algorithm as well as the PSwarm, LGO and DIRECT-L1 algorithms. Furthermore SHGO is compared with the TGO, basinhopping (BH) and differential evolution (DE) global optimisation algorithms over a large selection of black-box problems with bounds placed on the variables from the SciPy benchmarking test suite. A Python implementation of the SHGO and TGO algorithms published under a MIT license can be found from https://bitbucket.org/upiamcompthermo/shgo/.},
  langid   = {english},
  keywords = {90C26,Computational homology,Global optimisation,SHGO},
  file     = {/home/hannom/Zotero/storage/UB5MQ3WS/Endres et al. - 2018 - A simplicial homology algorithm for Lipschitz opti.pdf}
}
@article{wuViscosityModelOxide2015a,
  title      = {Viscosity Model for Oxide Melts Relevant to Fuel Slags. {{Part}} 2: {{The}} System {{SiO2}} --{{Al2O3}}--{{CaO}}--{{MgO}}--{{Na2O}}--{{K2O}}},
  shorttitle = {Viscosity Model for Oxide Melts Relevant to Fuel Slags. {{Part}} 2},
  author     = {Wu, Guixuan and Yazhenskikh, Elena and Hack, Klaus and M{\"u}ller, Michael},
  year       = {2015},
  month      = oct,
  journal    = {Fuel Processing Technology},
  volume     = {138},
  pages      = {520--533},
  issn       = {03783820},
  doi        = {10.1016/j.fuproc.2015.06.031},
  urldate    = {2020-08-30},
  abstract   = {The viscosity model recently developed for fully liquid pure oxides and binary systems is extended to describe the viscosity of multicomponent systems, based on the thermodynamic modified associate species model. In the model the viscosity is linked to the distribution of associate species as well as the connectivity of associate species. To describe the viscosity for multicomponent systems, the ternary associate species are introduced. The focus of the present paper is to describe the viscosity of the system SiO2--Al2O3--CaO--MgO--Na2O--K2O and its ternary or higher ordersystems. The model shows a good performance in describing the viscosity using only one set of model parameters, which all have a clear physico-chemical meaning. The viscosity behavior whenstituting one network modifier for another at constant SiO2 contents is well described. The Al2O3-induced viscosity maximum is also well described, in which the position and magnitude of the viscosity maximum as a function of composition and temperature (charge compensation effect) are properly predicted. Another viscosity maximum when replacing Al2O3 with SiO2 for constant contents of the network modifiers is well presented. Moreover, the current model is self-consistent, in which the extension of viscosities from lower order systems to higher order systems works well, and vice versa.},
  langid     = {english},
  keywords   = {qa-tnp},
  file       = {/home/hannom/Zotero/storage/FLBL3WD7/Wu et al. - 2015 - Viscosity model for oxide melts relevant to fuel s.pdf}
}

@inproceedings{wuStructurebasedViscosityModel2016,
  title      = {A Structure-Based Viscosity Model and Database for Multicomponent Oxide Melts},
  shorttitle = {Advances in Molten Slags, Fluxes, and Salts},
  booktitle  = {Advances in {{Molten Slags}}, {{Fluxes}}, and {{Salts}}: {{Proceedings}} of the 10th {{International Conference}} on {{Molten Slags}}, {{Fluxes}} and {{Salts}} 2016},
  author     = {Wu, Guixuan and Seebold, S{\"o}ren and Zayhenskikh, Elena and Hack, Klaus and M{\"u}ller, Michael},
  year       = {2016},
  month      = may,
  pages      = {8},
  publisher  = {John Wiley \& Sons, Inc.},
  address    = {Seattle, Washington, USA},
  abstract   = {Based on the thermodynamic associate species model, a new viscosity model and database are currently being developed for the fully liquid system SiO2--Al2O3--CaO--MgO--Na2O--K2O--FeO--Fe2O3--P2O5 and itssystems in the Newtonian range. The modified Arrhenius model, employed in this database, is a structure-based viscosity model, in which the associate species link the viscosity to the internal structure of melts. Both the temperature- and compositioninduced structural changes of melts are then described by a set of monomeric associate species in combination with the critical clusters induced by self- and inter-polymerization. The viscosity, therefore, is well described over the whole range of compositions and a broad range of temperatures by using only one set of model parameters, which have clear physico-chemical meaning. Moreover, the model is self-consistent, meaning the extension of viscosities from lower order systems to higher order systems is valid, and vice versa.},
  copyright  = {Copyright {\copyright} 2016 by The Minerals, Metals \& Materials Society. All rights reserved.},
  isbn       = {978-1-119-33319-7},
  langid     = {english},
  keywords   = {qa-tnp},
  file       = {/home/hannom/Zotero/storage/TRPTP35Z/Wu et al. - A Structure-Based Viscosity Model and Database for.pdf}
}
@article{wuViscosityModelOxide2015,
  title      = {Viscosity Model for Oxide Melts Relevant to Fuel Slags. {{Part}} 1: {{Pure}} Oxides and Binary Systems in the System {{SiO2}}--{{Al2O3}}--{{CaO}}--{{MgO}}--{{Na2O}}--{{K2O}}},
  shorttitle = {Viscosity Model for Oxide Melts Relevant to Fuel Slags. {{Part}} 1},
  author     = {Wu, Guixuan and Yazhenskikh, Elena and Hack, Klaus and Wosch, Erwin and M{\"u}ller, Michael},
  year       = {2015},
  month      = sep,
  journal    = {Fuel Processing Technology},
  volume     = {137},
  pages      = {93--103},
  issn       = {03783820},
  doi        = {10.1016/j.fuproc.2015.03.025},
  urldate    = {2020-08-30},
  abstract   = {Slag viscosity as a function of temperature and composition is a very important factor in determining the operating temperature, blended coals as well as fluxing agents for slagging gasification. A number of models for predicting the viscosity of fuel slags have been developed, however, most of them are only valid in a limited range of temperatures and compositions. This study aims at developing a new viscosity model for fully liquid slag systems in the Newtonian range, based on the thermodynamic modified associate species model. The viscosity model is a structurally-based model, which gives a reliable prediction over the whole range of compositions and a broad range of temperatures. The focus of the present paper is to collect and model the experimental data for pure oxides SiO2, Al2O3, CaO, MgO, Na2O, K2O and binary systems SiO2--Al2O3, SiO2--CaO, SiO2--MgO, SiO2--Na2O, SiO2--K2O, Al2O3--CaO, Al2O3--MgO, Al2O3--Na2O, Al2O3--K2O, which is the first step to develop a new viscosity model for the system SiO2--Al2O3--CaO--MgO--Na2O--K2O. A good agreement between experimental data and calculated data has been achieved using only one set of model parameters, which have a clear physico-chemical meaning. Moreover, the extrapolated viscosities to the regions where no experimental data are available in literature are reasonable.},
  langid     = {english},
  keywords   = {qa-tnp},
  file       = {/home/hannom/Zotero/storage/T755MX2E/Wu et al. - 2015 - Viscosity model for oxide melts relevant to fuel s.pdf}
}
@phdthesis{kimModelingViscosityMolten2011,
  title   = {Modeling {{Viscosity}} of {{Molten Slags}} and {{Glasses}}},
  author  = {Kim, Wan Yi},
  year    = {2011},
  month   = aug,
  urldate = {2024-09-11},
  langid  = {english},
  school  = {{\'E}cole Polytechnique de Montr{\'e}al},
  file    = {/home/hannom/Zotero/storage/WK7JKCAH/Kim - Modeling Viscosity of Molten Slags and Glasses.pdf;/home/hannom/Zotero/storage/Z5SMECKE/641.html}
}
@article{KimPeltonDecterov2012,
  title   = {A Model to Calculate the Viscosity of Silicate Melts. {{Part III}}: {{Modification}} for Melts Containing Alkali Oxides},
  author  = {Kim, Wan-Yi and Pelton, Arthur D. and Decterov, Sergei A.},
  year    = {2012},
  journal = {International Journal of Materials Research},
  volume  = {103},
  number  = {3},
  pages   = {313--328},
  doi     = {doi:10.3139/146.110637},
  urldate = {2023-08-22},
  file    = {/home/hannom/Zotero/storage/TULB7GRN/Kim et al. - 2012 - A model to calculate the viscosity of silicate mel.pdf}
}
@article{thibodeau2016-part1,
  title   = {A Structural Molar Volume Model for Oxide Melts Part I: Li2O-Na2O-K2O-MgO-CaO-MnO-PbO-Al2O3-SiO2 Melts—Binary Systems},
  author  = {Thibodeau, Eric and Gheribi, Aimen E. and Jung, In-Ho},
  year    = {2016},
  journal = {Metallurgical and Materials Transactions B},
  volume  = {47},
  number  = {2},
  pages   = {1147--1164},
  doi     = {doi:10.1007/s11663-015-0548-y},
  urldate = {2023-06-13},
  file    = {/home/shanedb/Zotero/storage/AEHHWJXM/Thibodeau et al. - 2016 - A Structural Molar Volume Model for Oxide Melts Pa.pdf}
}

@article{thibodeau2016-part2,
  title   = {A Structural Molar Volume Model for Oxide Melts Part II: Li2O-Na2O-K2O-MgO-CaO-MnO-PbO-Al2O3-SiO2 Melts—Ternary and Multicomponent Systems},
  author  = {Thibodeau, Eric and Gheribi, Aimen E. and Jung, In-Ho},
  year    = {2016},
  journal = {Metallurgical and Materials Transactions B},
  volume  = {47},
  number  = {2},
  pages   = {1165--1186},
  doi     = {doi:10.1007/s11663-015-0543-3},
  urldate = {2023-06-13},
  file    = {/home/shanedb/Zotero/storage/5KD8LN32/Thibodeau et al. - 2016 - A Structural Molar Volume Model for Oxide Melts Pa.pdf}
}

@article{thibodeau2016-part3,
  title   = {A Structural Molar Volume Model for Oxide Melts Part III: Fe Oxide-Containing Melts},
  author  = {Thibodeau, Eric and Gheribi, Aimen E. and Jung, In-Ho},
  year    = {2016},
  journal = {Metallurgical and Materials Transactions B},
  volume  = {47},
  number  = {2},
  pages   = {1187--1202},
  doi     = {doi:10.1007/s11663-015-0549-x},
  urldate = {2023-06-13},
  file    = {/home/shanedb/Zotero/storage/976UT985/Thibodeau et al. - 2016 - A Structural Molar Volume Model for Oxide Melts Pa.pdf}
}

@article{pelton-2001-part-4,
  title      = {The modified quasi-chemical model: {Part} {IV}. {Two}lattice quadruplet approximation},
  volume     = {32},
  issn       = {1073-5623, 1543-1940},
  shorttitle = {The modified quasi-chemical model},
  url        = {https://link.springer.com/10.1007/s11661-001-0230-7},
  doi        = {10.1007/s11661-001-0230-7},
  language   = {en},
  number     = {6},
  urldate    = {2023-08-22},
  journal    = {Metallurgical and Materials Transactions A},
  author     = {Pelton, Arthur D. and Chartrand, Patrice and Eriksson, Gunnar},
  month      = jun,
  year       = {2001},
  pages      = {1409--1416},
  file       = {Pelton et al. - 2001 - The modified quasi-chemical model Part IV. Two-su.pdf:/home/shanedb/Zotero/storage/RVWAV3RE/Pelton et al. - 2001 - The modified quasi-chemical model Part IV. Two-su.pdf:application/pdf}
}

@article{chartrand-2001-part-3,
  title      = {The modified quasi-chemical model: {Part} {III}. {Two}lattices},
  volume     = {32},
  issn       = {1073-5623, 1543-1940},
  shorttitle = {The modified quasi-chemical model},
  url        = {https://link.springer.com/10.1007/s11661-001-0229-0},
  doi        = {10.1007/s11661-001-0229-0},
  language   = {en},
  number     = {6},
  urldate    = {2023-08-22},
  journal    = {Metallurgical and Materials Transactions A},
  author     = {Chartrand, Patrice and Pelton, Arthur D.},
  month      = jun,
  year       = {2001},
  pages      = {1397--1407},
  file       = {Chartrand and Pelton - 2001 - The modified quasi-chemical model Part III. Two s.pdf:/home/shanedb/Zotero/storage/IF873W9I/Chartrand and Pelton - 2001 - The modified quasi-chemical model Part III. Two s.pdf:application/pdf}
}

@article{pelton-2001-part-2,
  title      = {The modified quasi-chemical model: {Part} {II}. {Multicomponent} solutions},
  volume     = {32},
  issn       = {1543-1940},
  shorttitle = {The modified quasi-chemical model},
  url        = {https://doi.org/10.1007/s11661-001-0226-3},
  doi        = {10.1007/s11661-001-0226-3},
  abstract   = {Further improvements to the modified quasi-chemical model in the pair approximation for shortrange ordering (SRO) in liquids are extended to multicomponent solutions. The energy of pair formation may be expanded in terms of the pair fractions or in terms of the component fractions, and coordination numbers are permitted to vary with composition. The model permits complete freedom of choice to treat any ternarysystem with a symmetric or an asymmetric model. An improved general functional form for “ternary terms” in the excess Gibbs energy expression is proposed. These terms are related to the effect of a third component upon the binary pair interaction energies. It is shown how binarysystems that have been optimized with the quasi-chemical model can be combined in the same multicomponent Gibbs energy equation with binarysystems that have been optimized with a random-mixing Bragg-Williams model and a polynomial expression for the excess Gibbs energy. This is of much practical importance in the development of large databases for multicomponent solutions. The model also applies to SRO in solid solutions as a special case, when the number of lattice sites and coordination numbers are constant.},
  language   = {en},
  number     = {6},
  urldate    = {2023-06-13},
  journal    = {Metallurgical and Materials Transactions A},
  author     = {Pelton, Arthur D. and Chartrand, Patrice},
  month      = jun,
  year       = {2001},
  keywords   = {Material Transaction, Binarysystem, Asymmetric Model, Multicomponent Solution, Pair Approximation},
  pages      = {1355--1360},
  file       = {Full Text PDF:/home/shanedb/Zotero/storage/GJ9PF2YW/Pelton and Chartrand - 2001 - The modified quasi-chemical model Part II. Multic.pdf:application/pdf}
}

@article{pelton-2000-part-1,
  title    = {The modified quasichemical model {I}—{Binary} solutions},
  volume   = {31},
  issn     = {1543-1916},
  url      = {https://doi.org/10.1007/s11663-000-0103-2},
  doi      = {10.1007/s11663-000-0103-2},
  abstract = {Further improvements to the modified quasichemical model in the pair approximation for short-range ordering in liquid and solid solutions are presented. The energy of pair formation is expanded in terms of the pair fractions rather than the component fractions, and coordination numbers are permitted to vary with composition. A formalism is introduced whereby the quasichemical equations are shown to be equivalent to the equations of an associate model if the pairs are formally treated as fractional associates. The model is applied to the liquid phase in a new optimization of the KCl-MgCl2 system.},
  language = {en},
  number   = {4},
  urldate  = {2023-06-13},
  journal  = {Metallurgical and Materials Transactions B},
  author   = {Pelton, A. D. and Degterov, S. A. and Eriksson, G. and Robelin, C. and Dessureault, Y.},
  month    = aug,
  year     = {2000},
  keywords = {Material Transaction, Associate Model, Binary Solution, Configurational Entropy, Gibbs Energy},
  pages    = {651--659},
  file     = {Full Text PDF:/home/shanedb/Zotero/storage/3UCCBUXF/Pelton et al. - 2000 - The modified quasichemical model I—Binary solution.pdf:application/pdf}
}

@article{park-2001,
  title     = {Ionic properties of oxygen in slag},
  volume    = {282},
  copyright = {https://www.elsevier.com/tdm/userlicense/1.0/},
  issn      = {00223093},
  url       = {https://linkinghub.elsevier.com/retrieve/pii/S0022309301003234},
  doi       = {10.1016/S0022-3093(01)00323-4},
  abstract  = {As an attempt to determine the fundamental properties of slags, and atomic structures the fractions of oxygen ions in CaO±SiO2 and CaO±AlO1:5 were measured. Samples of CaO±42:6 mol\% SiO2 \$ CaO±64:8 mol\% SiO2 and CaO±28:7 mol\% Al2O3 \$ CaO±44:7 mol\% Al2O3 were equilibrated at 1873 K and then quenched. The amount of oxygen ions of the samples was estimated by measuring areas of the Gaussian functions ®tted to the binding energy of electrons in 1s-shell of oxygen using X-ray photoelectron spectroscopy (XPS) of these as prepared samples. The viscosity, sul®de capacities, and water solubility reported by others were analyzed with the experimental results and the ratio of activity coecients was formulated as a function of composition. Ó 2001 Elsevier Science B.V. All rights reserved.},
  language  = {en},
  number    = {1},
  urldate   = {2024-05-21},
  journal   = {Journal of Non-Crystalline Solids},
  author    = {Park, Jung-Ho and Rhee, Peter Chang-Hee},
  month     = apr,
  year      = {2001},
  pages     = {7--14},
  file      = {Park and Rhee - 2001 - Ionic properties of oxygen in slag.pdf:/home/shanedb/Zotero/storage/AGY34PA4/Park and Rhee - 2001 - Ionic properties of oxygen in slag.pdf:application/pdf}
}

@article{xin_accurate_2017,
  title    = {Accurate density calculation for molten slags in SiO2-Al2O3-CaO-MgO systems},
  volume   = {57},
  issn     = {0915-1559, 1347-5460},
  url      = {10.2355/isijinternational.ISIJINT-2017-070},
  doi      = {10.2355/isijinternational.ISIJINT-2017-070},
  language = {en},
  number   = {8},
  urldate  = {2021-02-11},
  journal  = {ISIJ International},
  author   = {Xin, Jianjiang and Gan, Lei and Jiao, Lina and Lai, Chaobin},
  year     = {2017},
  keywords = {qa-tnp},
  pages    = {1340--1349},
  file     = {Xin et al. - 2017 - Accurate Density Calculation for Molten Slags in S.pdf:/home/stefank/Zotero/storage/CRW4C29C/Xin et al. - 2017 - Accurate Density Calculation for Molten Slags in S.pdf:application/pdf;Xin et al. - 2017 - Accurate Density Calculation for Molten Slags in S.pdf:/home/stefank/Zotero/storage/WGP62FZ7/Xin et al. - 2017 - Accurate Density Calculation for Molten Slags in S.pdf:application/pdf}
}

@article{thibodeau_structural_2016,
  title    = {A structural electrical conductivity model for oxide melts},
  volume   = {47},
  language = {en},
  journal  = {METALLURGICAL AND MATERIALS TRANSACTIONS B},
  author   = {Thibodeau, Eric},
  month    = feb,
  year     = {2016},
  pages    = {355--383},
  file     = {Thibodeau - A Structural Electrical Conductivity Model for Oxi.pdf:/home/stefank/Zotero/storage/GBBQWGEE/Thibodeau - A Structural Electrical Conductivity Model for Oxi.pdf:application/pdf}
}

@book{mysen_silicate_2019,
	edition = {2nd},
	title = {Silicate Glasses and Melts - 2nd Edition},
	isbn = {978-0-444-63709-3},
	url = {https://shop.elsevier.com/books/silicate-glasses-and-melts/mysen/978-0-444-63708-6},
	publisher = {Elsevier},
	author = {Mysen, Bjorn and Richet, Pascal},
	urldate = {2023-10-03},
	date = {2019},
	file = {Mysen and Richet - 2019 - Silicate Glasses and Melts - 2nd Edition.pdf:/home/stefank/Zotero/storage/B9V7YSDH/Mysen and Richet - 2019 - Silicate Glasses and Melts - 2nd Edition.pdf:application/pdf;Silicate Glasses and Melts - 2nd Edition:/home/stefank/Zotero/storage/R9ZQX3N6/978-0-444-63708-6.html:text/html},
}
