مسعود پنجه پور panjepour@iut.ac.ir نشانی دفتر دانشکده مهندسی مواد شماره تماس +98 311 3917539 فکس +98 311 3912752 پست ها و موقعیت های شغلی و سازمانی دانشیار دانشکده مهندسی مواد زمینه های مورد علاقه متالورژی استخراجی سنتز مواد پیشرفته مهندسی شبیه سازی اتمی رفتار مواد پدیده های انتقال در مواد شبیه سازی تنشی در مواد Dr.Masoud Panjepour نوع: Journal عنوان عنوان کنفرانس Date Modeling, prediction, and optimization of steam methane reforming in porous foams using computational fluid dynamics and machine learning approaches INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 1405-01 Investigating the influence of vacancy and rhodium doping on nickel-based single-atom catalysts for methane dehydrogenation: A Br?nsted-Evans-Polanyi analysis via density functional theory Computational and Theoretical Chemistry 1404-04 A novel approach to design and fabricate foams with optimized fluid flow in porous media by combining the methods of computational fluid dynamics, machine learning and additive manufacturing International Journal of Interactive Design and Manufacturing - IJIDeM 1404-04 On the implications of silver addition for the structure and anodic performance of polyaniline/(FeCoNiCrMn)3O4 high-entropy oxide composite used in lithium-ion batteries JOURNAL OF ELECTROANALYTICAL CHEMISTRY 1404-04 Effects of scandium doping on the oxygen diffusion barrier in monoclinic ZrO2 solid electrolyte: A density functional theory approach COMPUTATIONAL MATERIALS SCIENCE 1404-02 Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 1403-12 Synthesis, characterization, and evaluation of polyaniline-modified (FeCoNiCrMn)3O4 high-entropy oxide as an anode material for lithium-ion batteries MATERIALS CHEMISTRY AND PHYSICS 1403-12 An investigation into the impact of cobalt replacement by silicon in FeCrMnNiCo non-stoichiometric high entropy alloys JOURNAL OF ALLOYS AND COMPOUNDS 1403-10 Advanced modelling and optimization of steam methane reforming: From CFD simulation to machine learning - Driven optimization INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 1403-08 Kinetic analysis of fullerene C <sub>60</sub> thermal degradation via deconvolution method FULLERENES NANOTUBES AND CARBON NANOSTRUCTURES 1403-05
