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Surface tension of liquid organic acids: An artificial neural network model, file 7b951e60-262e-41ca-a3a2-54243e52f83a
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21
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Use of an Indoor Solar Flash Test Device to Evaluate Production Loss Associated to Specific Defects on Photovoltaic Modules, file b667e4fa-8354-4c3a-80c8-726983cf4807
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19
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Double-Skin Façades for Building Retrofitting and Climate Change: A Case Study in Central Italy, file cd820fed-433d-402f-aa02-1b218131b951
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19
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Experimental characterization of a solar cooker with thermal energy storage based on solar salt, file 69f95050-2a32-43e5-b989-27fa5ff9c28a
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11
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A parametric optimization approach to mitigating the urban heat Island effect: A case study in Ancona, Italy, file 7ad68c3c-c56e-4322-9049-672d86671320
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10
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Modeling the surface tension and the interface of ten selected liquid mixtures: Correlation, prediction, and the influence of using partial molar volume, file d1bced51-1ed3-4d89-a0b4-d754484228e3
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8
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A critical survey of thermal conductivity literature data for organic compounds at atmospheric pressure and an equation for aromatic compounds, file f4453e0e-24dc-46f1-bd5b-8b42ba7bdf19
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8
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Artificial Neural Network Modeling of Liquid Thermal Conductivity for alkanes, ketones and silanes, file e10e294f-15e1-47fc-b4ad-dc93164b71bc
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7
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Vapor-liquid equilibrium of binary systems containing low GWP refrigerants with cubic equations of state, file e789b3a9-30f0-49e4-88ef-6590288c2972
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7
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Climate change and refrigerants: Thermodynamic properties of low-GWP fluids for domestic applications and binary systems for low-temperature options, file 742cbd08-7436-43f5-8948-7d36ebe1783b
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6
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COVID 19-A qualitative review for the reorganization of human living environments, file 9f81cad2-9cc9-4967-812d-9f44fc6f3ec5
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6
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Thermal Conductivity of Low-GWP Refrigerants Modeling with Multi-Object Optimization, file fd77f6bb-e57e-4ba7-8a7f-cbc24b7942a6
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5
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Modeling investigation on the viscosity of pure refrigerants and their liquid mixtures by using the Patel–Teja viscosity equation of state|Modélisation de la viscosité des frigorigènes purs et leurs mélanges liquides à l'aide de l’équation d’état de Patel-Teja, file 7f07aff2-c6cc-4b92-bfc2-d77eac128ad1
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2
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DL2F: A Deep Learning model for the Local Forecasting of renewable sources, file c29cefee-5501-4932-b5f6-8eb25eb19ed8
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2
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A new equation for the surface tension of carboxylic acids, file 04895988-5bce-441e-a19e-87b8fd4b70ff
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1
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Liquid thermal conductivity prediction for alkanes, ketones and silanes, file 0764b5cb-7e7a-4516-b254-5bdf6370ca66
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1
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Equation for the thermal conductivity of liquids and an artificial neural network, file 11ec6fb4-ab44-4ce5-92ae-9a6667a44eaf
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1
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Vapor-Phase PvTx Measurements of Binary Blends of cis-1,2,3,3,3-Pentafluoroprop-1-ene + Isobutane and 3,3,3-Trifluoropropene + Isobutane, file 137e9310-18cc-4897-83c4-f10361b56228
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1
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Predicting the volumetric properties of pure and mixture of amino acid-based ionic liquids, file 14f8cc01-fce0-4954-bf47-ac64311629a1
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1
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Correlations of thermal conductivity for liquid refrigerants at atmospheric pressure or near saturation, file 17b11e09-4ada-4b98-9b6d-b00c27663884
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1
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Energy efficiency improvements in italian historical buildings: The case study of Ascoli Piceno, file 2784470d-acae-41bf-bab3-3397e7d131b8
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1
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Inspired by the atmosphere: A procedural protocol that defines a meta-project based on atmospheric forces: Solar radiation and wind field, file 280beba1-5897-4aff-88bf-6273cab5f55b
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1
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Molecular thermodynamic modeling of surface tension: Extension to molten polymers, file 2a7335fc-2c39-4a43-8e8b-f472f4d758dc
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1
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Artificial neural network modelling of liquid thermal conductivity for alcohols, file 2eda83a6-ea47-48f6-b0c3-0f936e9d5c14
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1
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Assessing the representativeness of thermal comfort in outdoor spaces, file 2fb19a16-37b0-4d8a-9944-0e0b80e9a46c
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1
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Correlations for liquid thermal conductivity of low GWP refrigerants in the reduced temperature range 0.4 to 0.9 from saturation line to 70 MPa, file 3e99362a-8b98-4188-8b04-a1d1c2571c08
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1
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A method to estimate the thermal conductivity of organic alcohols in the liquid phase at atmospheric pressure or along the saturation line, file 425a95fc-4798-4532-855b-f66cfa0ff466
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1
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Surface tension of silanes: A new equation, file 47f68239-3446-4ed4-9be7-3e7026040604
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1
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A semi-empirical correlation for the estimation of the second virial coefficients of refrigerants, file 48267cec-89f8-4c0d-9ab7-87484a8114bd
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1
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Viscosities of some fatty acid esters and biodiesel fuels from a rough hard-sphere-chain model and artificial neural network, file 4c1d7d2d-ba9a-43d1-9098-57a458591f99
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1
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SLE for the carbon dioxide +trans-1,3,3,3-tetrafluoropropene, file 4fc5774c-81e9-45fe-98b8-44f56fa151ac
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1
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Assessment of outdoor thermal comfort and its relation to urban geometry, file 5673df29-b06f-4476-b433-5ceebbeae1b8
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1
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Outdoor thermal comfort and local climate change: Exploring connections, file 59f0133e-83cc-4c24-9e3c-eb56ff8eef24
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1
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Determination of the Boyle temperature of pure gases using artificial neural networks, file 633eb949-c1bc-4ed9-bdf2-87e1bebd65ce
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1
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Experimental validation of a high-temperature solar box cooker with a solar-salt-based thermal storage unit, file 68688678-d6dc-4bc4-b5b3-fe066ca7103d
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1
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Two-Phase and Vapor-Phase Thermophysical Property (pvTz) Measurements of the Difluoromethane + trans-1,3,3,3-Tetrafluoroprop-1-ene Binary System, file 69820f80-dc0b-4b4e-9dfb-e6d4e38d56a1
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1
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Viscosities of Liquid Refrigerants from a Rough Hard-Sphere Theory-Based Semi-Empirical Model, file 698d9d4c-6e4a-4a38-bda7-a9a8ba5a4c6b
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1
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Molecular thermodynamic modeling of surface tensions of some fatty acid esters and biodiesels, file 6f0ecbf7-b683-4a80-8f21-bdc42c88b987
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1
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Surface tension of alcohols: A scaled equation and an artificial neural network, file 75281b20-a54c-4f89-8026-9d73ebebe429
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1
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Environmental quality index in hospital patient's rooms rapid assessment tool for the verification and design, file 760f7d5c-040c-4e22-b446-2aeb44caa80e
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1
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Surface tension correlation of carboxylic acids from liquid viscosity data, file 76164589-e2c2-49e1-8575-6b5bcb445b87
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1
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Vapor phase and two-phase PvTz measurements of difluoromethane + 2,3,3,3-tetrafluoroprop-1-ene, file 7968d679-7fe3-4baa-b76a-2317ad1d9aff
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1
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Design, manufacturing, and test of a high concentration ratio solar box cooker with multiple reflectors, file 7d8434fa-dccd-4cc1-83fc-f0cbc403ce95
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1
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null, file 812e13bb-63d8-489e-8987-171ca204232e
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1
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Vapor Phase PνTx Measurements of Binary Blends of 2,3,3,3-Tetrafluoroprop-1-ene + Isobutane and trans-1,3,3,3-Tetrafluoroprop-1-ene + Isobutane, file 89872440-5064-4949-a4b0-bc4e541868a7
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1
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Vapor Phase PvTx Measurements of Binary Blends of 2,3,3,3-Tetrafluoroprop-1-ene + Propane and cis-1,2,3,3,3-Pentafluoroprop-1-ene + Propane, file 89d7e533-ec09-415e-8a20-c373fdcbc3df
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1
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Modeling the viscosity of ionic liquids using combined friction theory with perturbed hard-chain equation of state and neural network approaches, file 8fab1fb7-5822-4c95-889d-9a5563dcd9e3
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1
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Densities and isothermal compressibilities from perturbed hard-dimer-chain equation of state: application to nanofluids, file 91db0e36-743d-4f90-b390-6bcb57eea13c
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1
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Corrigendum to “Molecular thermodynamic modeling of surface tensions of some fatty acid esters and biodiesels” [J. Mol. Liq. 281 (2019) 431–441] (Journal of Molecular Liquids (2019) 281 (431–443), (S0167732218362731), (10.1016/j.molliq.2019.02.105)), file a17b9a30-3543-4368-a226-43cae8e8d489
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1
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Artificial neural network for the second virial coefficient of organic and inorganic compounds: An ANN for B of organic and inorganic compounds, file a32018ab-56bc-44a7-a985-679fde37c4b3
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1
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An Artificial Neural Network for the surface tension of alcohols, file a5de70d5-ecf1-489d-91f4-a98b9d6c5ccc
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1
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Compressed Liquid Density and Vapor Phase PvT Measurements of trans-1-Chloro-3,3,3-trifluoroprop-1-ene [R1233zd(E)], file a68680f1-888d-4518-ae2e-2ec663c0d52b
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1
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Solid–liquid equilibria for the R32 + R1234ze(E) binary system, file aa63dd2c-5d51-4a5b-b29c-547e84fbb5c6
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1
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Surface tension prediction for refrigerant binary systems, file b25112f8-242a-43c9-b227-dbf0b1c9c964
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1
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Modeling equilibrium and non-equilibrium thermophysical properties of liquid lubricants using semi-empirical approaches and neural network, file b3b02422-a0e3-4fa3-b3f2-0df47ee8c891
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1
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Modelling investigation on the thermal conductivity of pure liquid, vapour, and supercritical refrigerants and their mixtures by using Heyen EOS, file b672e18b-667e-4fee-93dd-cea729f56571
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1
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Corrigendum to “Design, manufacturing, and test of a high concentration ratio solar box cooker with multiple reflectors” [Sol. Energy 155 (2017) 781–792] (Solar Energy (2017) 155 (781–792), (S0038092X17305935), (10.1016/j.solener.2017.07.020)), file b8a56874-4b9f-47f2-911e-a898af933525
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1
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Modeling thermal conductivity in refrigerants through neural networks, file baf6cb53-5e7e-45fa-9195-6c242ad4558e
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1
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Density and viscosity modeling of liquid adipates using neural network approaches, file c561791b-b404-4d1e-9a95-cdc6a79e3cb7
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1
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The QlandQlife tool, file d03db019-2e7b-40aa-b040-b85ec2aa241e
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1
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An improved group contribution method for the prediction of second virial coefficients, file d589799b-7ee8-499a-87c0-cbba62c0cc5b
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1
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Two-Phase and Vapor Phase PvTx Properties of the Difluoromethane + cis-1,3,3,3-Tetrafluoroprop-1-ene Binary System, file dc49a749-8471-4f56-94a3-b326e027858b
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1
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Surface tension calculation from liquid viscosity data of silanes, file ea746c61-631a-4bbe-b1a2-1decc5af0ece
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1
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Vapor Phase PvTx Measurements of Binary Blends of trans-1-Chloro-3,3,3-trifluoroprop-1-ene + Isobutane and cis-1,3,3,3-Tetrafluoroprop-1-ene + Isobutane, file ead655ff-3515-4019-8ae7-a3e630821686
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1
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New equation for the liquid viscosity of silanes, file ec004b6d-985a-4d9c-8013-8d2a86324c32
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1
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Equations for the surface tension of low GWP halogenated alkene refrigerants and their blends, file f1ad4a1a-e5f7-4f59-b769-769ff99521b4
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1
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Development of a scaled equation and an Artificial Neural Network for the surface tension of alcohols through a statistical and factor analysis approach, file f1de20c9-0f09-4ad7-be00-86d158e47752
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1
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Correction to: Viscosities of Liquid Refrigerants from a Rough Hard-Sphere Theory-Based Semi-Empirical Model (International Journal of Thermophysics, (2019), 40, 8, (74), 10.1007/s10765-019-2541-1), file f81f825d-d245-4445-9d69-60df488c4f43
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1
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A new scaled equation to calculate the surface tension of ketones, file fcc99f4f-6f73-4baf-99a7-b76a2ccd1454
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1
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186 |