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THE EFFECT OF PORE SIZE AND SHAPE ON THE MECHANICAL PROPERTIES OF OPENCELL NANO METAL FOAMS PREDICTED BY MOLECULAR DYNAMICS SIMULATIONS
THE EFFECT OF PORE SIZE AND SHAPE ON THE MECHANICAL PROPERTIES OF OPENCELL NANO METAL FOAMS PREDICTED BY MOLECULAR DYNAMICS SIMULATIONS
Theoretical study on modeling and prediction of optical rotation for biodegradable polymers containing a-amino acids using QSAR approaches
Point pedotransfer functions for prediction of water retention of selected soil series in a semi-arid region of western Iran
Prediction of the Mechanical Properties of LDPE-Thermoplastic Corn Starch Nanocomposites Using the Adaptive Neuro-Fuzzy Inference System
Performance prediction of in situ forming controlled drug delivery systems by addaptive neuro-fuzzy interface system ANFIS
Performance prediction of in situ forming controlled drug delivery systems by addaptive neuro-fuzzy interface system ANFIS
Developing a New Model for Predicting Specific Energy (SE) for Economic and Environmental Optimization of the Diamond Wire Cutting Operation
A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Physics-informed neural networks with rational weighting for treating discontinuities in water flow prediction over irregular geometries
Three-dimensional wake transition of rectangular cylinders and temporal prediction of flow patterns based on a machine learning algorithm
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics