PIERANTOZZI, Mariano
 Distribuzione geografica
Continente #
AS - Asia 1.842
NA - Nord America 1.739
EU - Europa 909
SA - Sud America 254
AF - Africa 50
OC - Oceania 3
Totale 4.797
Nazione #
US - Stati Uniti d'America 1.665
SG - Singapore 1.046
CN - Cina 385
RU - Federazione Russa 242
IT - Italia 235
BR - Brasile 204
VN - Vietnam 193
IE - Irlanda 152
DE - Germania 49
GB - Regno Unito 43
HK - Hong Kong 38
CA - Canada 33
IN - India 32
MX - Messico 30
ES - Italia 29
NL - Olanda 29
FR - Francia 28
BD - Bangladesh 24
KR - Corea 23
FI - Finlandia 20
PL - Polonia 20
ID - Indonesia 18
AR - Argentina 17
ZA - Sudafrica 17
AT - Austria 14
SE - Svezia 14
EC - Ecuador 13
MA - Marocco 11
TR - Turchia 11
IQ - Iraq 10
JP - Giappone 10
CO - Colombia 9
PK - Pakistan 8
PT - Portogallo 8
LT - Lituania 6
PH - Filippine 6
SA - Arabia Saudita 6
LB - Libano 5
UA - Ucraina 5
AE - Emirati Arabi Uniti 4
BE - Belgio 4
CR - Costa Rica 4
IR - Iran 4
PE - Perù 4
TN - Tunisia 4
AL - Albania 3
AU - Australia 3
CL - Cile 3
DZ - Algeria 3
KE - Kenya 3
UZ - Uzbekistan 3
AO - Angola 2
CZ - Repubblica Ceca 2
EG - Egitto 2
GT - Guatemala 2
IL - Israele 2
JM - Giamaica 2
ML - Mali 2
PS - Palestinian Territory 2
TH - Thailandia 2
TW - Taiwan 2
VE - Venezuela 2
AM - Armenia 1
AZ - Azerbaigian 1
BF - Burkina Faso 1
BG - Bulgaria 1
BH - Bahrain 1
CI - Costa d'Avorio 1
DK - Danimarca 1
ET - Etiopia 1
GD - Grenada 1
GR - Grecia 1
JO - Giordania 1
LA - Repubblica Popolare Democratica del Laos 1
MT - Malta 1
MU - Mauritius 1
MY - Malesia 1
NO - Norvegia 1
NP - Nepal 1
OM - Oman 1
PA - Panama 1
PY - Paraguay 1
RO - Romania 1
SN - Senegal 1
TG - Togo 1
TT - Trinidad e Tobago 1
UY - Uruguay 1
Totale 4.797
Città #
Singapore 662
San Jose 467
Dallas 181
Ashburn 165
Dublin 151
Beijing 71
Ho Chi Minh City 71
Los Angeles 71
Hefei 64
Santa Clara 64
Tongling 64
The Dalles 63
Hanoi 43
New York 42
Hong Kong 36
Redondo Beach 32
Moscow 31
Seattle 29
Council Bluffs 28
Pescara 28
Buffalo 27
St Louis 26
Milan 24
São Paulo 23
Boardman 21
Seoul 21
Torre de' Passeri 16
Chieti 15
Mexico City 15
Johannesburg 14
Stockholm 14
Munich 13
Toronto 13
Naples 12
Orem 12
Warsaw 12
Ancona 11
Frankfurt am Main 11
Romola 11
Amsterdam 10
Nuremberg 10
Boston 9
Chicago 9
Da Nang 9
Delft 9
Helsinki 9
London 9
Phoenix 9
Rome 9
Tokyo 9
Lappeenranta 8
San Francisco 8
Shanghai 8
Tolentino 8
Vienna 8
Biên Hòa 7
Brooklyn 7
Denver 7
Haiphong 7
Montreal 7
Palermo 7
Ankara 5
Atlanta 5
Chennai 5
Curitiba 5
Dhaka 5
Manila 5
North Bergen 5
Quito 5
Álvaro Obregón 5
Balikpapan 4
Belo Horizonte 4
Brussels 4
Can Tho 4
Casablanca 4
Castelló de la Plana 4
Guayaquil 4
Madrid 4
Manchester 4
Mumbai 4
Nova Iguaçu 4
Quảng Ngãi 4
Wroclaw 4
Brasília 3
Caxias do Sul 3
Charleston 3
City of London 3
Denpasar 3
Duque de Caxias 3
Houston 3
Jundiaí 3
Lahore 3
Manassas 3
Morrovalle 3
Nairobi 3
Newark 3
Ninh Bình 3
Notaresco 3
Ottawa 3
Paris 3
Totale 3.005
Nome #
GENESIS: A WEB-BASED PLATFORM FOR MANAGING THE SEISMIC RISK OF HISTORIC CENTRES OF SOUTHERN ITALY 232
Impact of Architectural Styles on Acoustic Characteristics in Selected European Churches 99
Double-Skin Façades for Building Retrofitting and Climate Change: A Case Study in Central Italy 91
A Deep Learning Approach for Climate Parameter Estimations and Renewable Energy Sources 90
Compressed Liquid Density and Vapor Phase PvT Measurements of trans-1-Chloro-3,3,3-trifluoroprop-1-ene [R1233zd(E)] 83
A method to estimate the thermal conductivity of organic alcohols in the liquid phase at atmospheric pressure or along the saturation line 81
Assessment of outdoor thermal comfort and its relation to urban geometry 80
A parametric optimization approach to mitigating the urban heat Island effect: A case study in Ancona, Italy 80
Use of an Indoor Solar Flash Test Device to Evaluate Production Loss Associated to Specific Defects on Photovoltaic Modules 79
DL2F: A Deep Learning model for the Local Forecasting of renewable sources 77
A new equation for the thermal conductivity of organic compounds 77
A new equation for the surface tension of carboxylic acids 76
A critical survey of thermal conductivity literature data for organic compounds at atmospheric pressure and an equation for aromatic compounds 75
Climate change and refrigerants: Thermodynamic properties of low-GWP fluids for domestic applications and binary systems for low-temperature options 74
Dynamic viscosity of low GWP refrigerants in the liquid phase: An empirical equation and an artificial neural network 73
Artificial neural network modelling of liquid thermal conductivity for alcohols 72
The QlandQlife tool 72
An improved group contribution method for the prediction of second virial coefficients 72
Artificial Neural Network Modeling of Liquid Thermal Conductivity for alkanes, ketones and silanes 72
Modeling the surface tension and the interface of ten selected liquid mixtures: Correlation, prediction, and the influence of using partial molar volume 71
An Artificial Neural Network for the surface tension of alcohols 70
Artificial neural network for the second virial coefficient of organic and inorganic compounds: An ANN for B of organic and inorganic compounds 69
Theoretical evaluation and optimization of a cryogenic technology for carbon dioxide separation and methane liquefaction from biogas 69
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)) 69
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) 68
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 68
A semi-empirical correlation for the estimation of the second virial coefficients of refrigerants 68
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)) 66
A new scaled equation to calculate the surface tension of ketones 65
Molecular thermodynamic modeling of surface tension: Extension to molten polymers 65
Density and viscosity modeling of liquid adipates using neural network approaches 64
Equation for the thermal conductivity of liquids and an artificial neural network 63
Development of a scaled equation and an Artificial Neural Network for the surface tension of alcohols through a statistical and factor analysis approach 62
Viscosities of some fatty acid esters and biodiesel fuels from a rough hard-sphere-chain model and artificial neural network 62
Densities and isothermal compressibilities from perturbed hard-dimer-chain equation of state: application to nanofluids 62
Determination of the Boyle temperature of pure gases using artificial neural networks 61
Design, manufacturing, and test of a high concentration ratio solar box cooker with multiple reflectors 61
New equation for the liquid viscosity of silanes 60
COVID 19-A qualitative review for the reorganization of human living environments 58
Thermal Conductivity of Low-GWP Refrigerants Modeling with Multi-Object Optimization 58
Liquid thermal conductivity prediction for alkanes, ketones and silanes 58
Molecular thermodynamic modeling of surface tensions of some fatty acid esters and biodiesels 57
Viscosities of Liquid Refrigerants from a Rough Hard-Sphere Theory-Based Semi-Empirical Model 57
Assessing the representativeness of thermal comfort in outdoor spaces 57
Two-Phase and Vapor Phase PvTx Properties of the Difluoromethane + cis-1,3,3,3-Tetrafluoroprop-1-ene Binary System 56
Surface tension of alcohols: A scaled equation and an artificial neural network 55
Surface tension of silanes: A new equation 54
Modeling equilibrium and non-equilibrium thermophysical properties of liquid lubricants using semi-empirical approaches and neural network 52
Solid–liquid equilibria for the R32 + R1234ze(E) binary system 52
Surface tension of liquid organic acids: An artificial neural network model 50
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 50
Energy efficiency improvements in italian historical buildings: The case study of Ascoli Piceno 49
Correlations of thermal conductivity for liquid refrigerants at atmospheric pressure or near saturation 49
Outdoor thermal comfort and local climate change: Exploring connections 49
Vapor phase and two-phase PvTz measurements of difluoromethane + 2,3,3,3-tetrafluoroprop-1-ene 49
Modelling investigation on the thermal conductivity of pure liquid, vapour, and supercritical refrigerants and their mixtures by using Heyen EOS 49
Inspired by the atmosphere: A procedural protocol that defines a meta-project based on atmospheric forces: Solar radiation and wind field 49
Vapor-Phase PvTx Measurements of Binary Blends of cis-1,2,3,3,3-Pentafluoroprop-1-ene + Isobutane and 3,3,3-Trifluoropropene + Isobutane 48
Surface tension prediction for refrigerant binary systems 48
Surface tension calculation from liquid viscosity data of silanes 48
Experimental characterization of a solar cooker with thermal energy storage based on solar salt 48
Surface tension correlation of carboxylic acids from liquid viscosity data 46
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 46
Semi-empirical correlations and an artificial neural network for liquid dynamic viscosity of low GWP refrigerants 46
Equations for the surface tension of low GWP halogenated alkene refrigerants and their blends 45
Experimental validation of a high-temperature solar box cooker with a solar-salt-based thermal storage unit 45
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 45
Two-Phase and Vapor-Phase Thermophysical Property (pvTz) Measurements of the Difluoromethane + trans-1,3,3,3-Tetrafluoroprop-1-ene Binary System 45
Vapor-liquid equilibrium of binary systems containing low GWP refrigerants with cubic equations of state 44
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 44
Modeling the viscosity of ionic liquids using combined friction theory with perturbed hard-chain equation of state and neural network approaches 43
Environmental quality index in hospital patient's rooms rapid assessment tool for the verification and design 43
Methodological comparison of different projects 42
Modeling thermal conductivity in refrigerants through neural networks 41
Field Measurements of Indoor Environmental Quality in School Buildings Post-COVID-19: Systematic Review 41
Atmospheric Flow Fields: Theory, Numerical Methods and Software Tools 39
Predicting the volumetric properties of pure and mixture of amino acid-based ionic liquids 39
Correction Procedures for Temperature and Irradiance of Photovoltaic Modules: Determination of Series Resistance and Temperature Coefficients by Means of an Indoor Solar Flash Test Device 38
Modeling Liquid Thermal Conductivity of Low-GWP Refrigerants Using Neural Networks 37
Energy Performance and Thermal Comfort Assessment of an Educational Building in Northern Italy: The Importance of Climatic Files in Energy Simulations 34
Environmental quality analysis in school environment by measurements and numerical methods 28
Use of an Indoor Solar Flash Test Device to Estimate Temperature and Irradiance Corrections of Photovoltaic Modules 21
Comparing Deep Learning Approaches for Weather Forecasting: Insights from the PRECEDE Project 20
Geometrical Acoustics in Cultural Heritage Conservation and Promotion: Digitalization of the Acoustic Characteristics 18
SLE for the carbon dioxide +trans-1,3,3,3-tetrafluoropropene 17
Corrigendum to “Viscosities of some fatty acid esters and biodiesel fuels from a rough hard-sphere-chain model and artificial neural network” [Fuel 235 (2019) 1083–1091] (Fuel (2019) 235 (1083–1091), (S0016236118314571), (10.1016/j.fuel.2018.08.088)) 17
Bridging climate modeling and Artificial Intelligence for enhanced renewable energy forecasting and siting 8
Machine learning and non-equilibrium properties of nanofluids 8
Modeling surface tension of ten binary cryogenic mixtures with a thermodynamic method and artificial neural network 6
Modeling high-pressure viscosities of fatty acid esters and biodiesel fuels based on modified rough hard-sphere-chain model and deep learning method 5
null 5
Modeling the viscosity of (water + methanol), (water + ethanol), (water + 1-propanol) and (water + 2-propanol) mixture up to the high pressures 4
Letter to “Surface tension predictions of pure organic components: An artificial neural network approach” by Queiroz et al. (2025) 3
Density, viscosity and CO2 solubility modeling of deep eutectic solvents from various neural network approaches 3
Totale 5.064
Categoria #
all - tutte 24.865
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 24.865


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2022/202318 0 0 0 1 2 0 3 0 3 0 8 1
2023/2024585 113 69 29 8 37 67 107 53 28 10 12 52
2024/20251.519 112 272 179 44 84 29 49 54 193 96 117 290
2025/20262.942 262 167 341 396 294 139 482 172 351 323 15 0
Totale 5.064