Thông tin nhà nghiên cứu KH&CN

Development of Machine Learning Model for Estimation of In-plane Buckling Load of FGM-Porous-FGM Sandwich Plates

Mechanical characterization of amorphous silica material and nanoparticle formation via computational approach

Development of Finite Element Tool for the Modeling of Apparent Mechanical Properties of Composites with Random Inclusion Distribution

Prediction of Mixed-Mode I/II Fracture Load Using Practical and Interpretable Machine Learning Method

Nghiên cứu hiệu ứng kích thước của lỗ rỗng nano và mặt tiếp xúc không hoàn hảo với pha nền tới tính chất cơ học tổng quát của vật liệu

Phương pháp mô phỏng phần tử rời rạc - trợ giúp thiết kế và xác định thông số vận hành thiết bị phân loại củ quả theo kích thước

Tối ưu hóa độ nhám bề mặt và tốc độ loại bỏ vật liệu trong tiện thép không gỉ AISI 420 sử dụng ANN và NSGA-II

Interphases in nano-reinforced materials: stochastic multiscale modeling

Tính toán hệ số cản không khí của hạt rời rạc. Ứng dụng trong nghiên cứu và phát triển máy nông nghiệp

Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques

Experimental and computational investigation of the effect of machining parameters on the turning process of C45 steel

Buckling and bending analysis of FGP nanoplates resting on Pasternak foundation considering non-local and surface effects simultaneously using pb2-Ritz method

Analysis and optimization for buckling behavior of functionally graded face layers and porous core sandwich plates resting on Pasternak elastic foundation

Reliability-based optimization for concrete-filled steel tubular columns incorporating multi-advanced techniques and model constraints

AI-powered GUI for prediction of axial compression capacity in concrete-filled steel tube columns

Optimization of milling conditions for AISI 4140 steel using an integrated machine learning-multi objective optimization-multi criteria decision making framework

Predicting surface roughness in machining aluminum alloys taking into account material properties

Multiobjective optimization of end milling parameters for enhanced machining performance on 42CrMo4 using machine learning and NSGA-III

Bending analysis of FGSP nanoplate resting on elastic foundation by using nonlocal quasi-3D theory

Multi-objective optimization based on machine learning and non-dominated sorting genetic algorithm for surface roughness and tool wear in Ti6Al4V turning

Optimization of Neural Network architecture and derivation of closed-form equation to predict ultimate load of functionally graded material plate

Optimal Design of Circular Concrete-Filled Steel Tubular Columns based on a Combination of Artificial Neural Network, Balancing Composite Motion Algorithm and a Large Experimental Database

A hybridization of machine learning and NSGA-II for multi-objective optimization of surface roughness and cutting force in AISI 4340 alloy steel turning

Predicting Volumetric Error Compensation for Five-axis Machine Tool Using Machine Learning

Balancing Composite Motion Optimization and Artificial Neural Network for the Prediction of Critical Load of Concrete-Filled Steel Tubes Under Axial Compression

Discrete Element Modeling Based Determination of Shear Behavior in a Granular Medium Through Displacement Field

Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using Artificial Neural Networks

Multiobjective Optimization of Surface Roughness and Tool Wear in High-Speed Milling of AA6061 by Machine Learning and NSGA-II

Calibration of a stress-strain response for geopolymer concrete under axial compressive load

Critical Buckling Load Evaluation of Functionally Graded Material Plate Using Gaussian Process Regression

Prediction Model for Tensile Modulus of Carbon Nanotube–Polymer Composites

Development and Identification of Working Parameters for Threshing Unit of Peanut Tuber Picking Machine

Developing Geometric Error Compensation Software for Five-Axis CNC Machine Tool on NC Program Based on Artificial Neural Network

Investigation of force transmission, critical breakage force and relationship between micro-macroscopic behaviors of agricultural granular material in a uniaxial compaction test using discrete element method

Evaluation of the ultimate eccentric load of rectangular CFSTs using advanced neural network modeling

Virtual testing of polymer nanocomposites and identification of interphase zone using Molecular Dynamics simulation

Influence of surface effect on the macroscopic properties of nanocomposite materials from a probabilistic standpoint

Development of artificial intelligence based model for the prediction of Young’s modulus of polymer/carbon-nanotubes composites

Mô hình số dự đoán tải trọng tới hạn của các cấu kiện ống thép nhồi bê tông tiết diện chữ nhật

Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques

Applying Bayesian Optimization for Machine Learning Models in Predicting the Surface Roughness in Single-Point Diamond Turning Polycarbonate

Soft Computing Based Closed Form Equations Correlating L and N-Type Schmidt Hammer Rebound Numbers of Rocks

Development of Deep Learning Model for the Recognition of Cracks on Concrete Surfaces

Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method

Practical Hybrid Machine Learning Approach for Estimation of Ultimate Load of Elliptical Concrete-Filled Steel Tubular Columns under Axial Loading

Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes

Nanoscale Effect Investigation for Effective Bulk Modulus of Particulate Polymer Nanocomposites Using Micromechanical Framework

An empirical model for bending capacity of defected pipe combined with axial load

Development of user-friendly kernel-based Gaussian process regression model for prediction of load-bearing capacity of square concrete-filled steel tubular members

Prediction of tensile strength of polymer carbon nanotube composites using practical machine learning method

Probabilistic Investigation of the Effect of Stochastic Imperfect Interfaces in Nanocomposites

Practical Machine Learning-Based Prediction Model for Axial Capacity of Square CFST Columns

Optimization Design of Rectangular Concrete-Filled Steel Tube Short Columns with Balancing Composite Motion Optimization and Data-Driven Model

Stochastic Continuum Modeling of Random Interphases Based on Atomistic Simulations: Application to a Nanoreinforced Polymer

STOCHASTIC MULTISCALE MODELING OF RANDOM INTERPHASES IN NANOREINFORCED POLYMERS

Stochastic continuum modeling of random interphases from atomistic simulations

Modélisation stochastique continue et identification inverse d’interphases aléatoires à partir de simulations atomistiques

STOCHASTIC MODELING OF INTERPHASE EFFECTS FOR NANOREINFORCED HETEROGENEOUS MATERIALS

Modélisation Probabiliste Des Effets de Surface Pour Des Matériaux Nano-Renforcés

Analysis of elastic deformation of amorphous polyethylene in uniaxial tensile test by using molecular dynamics simulation

Stochastic Representations and Statistical Inverse Identification for Uncertainty Quantification in Computational Mechanics

Probabilistic Modeling of Surface Effects in Nano-Reinforced Materials

Morphology Characterization of Irregular Particles Using Image Analysis. Application to Solid Inorganic Fertilizers

Stochastic Continuum Modeling of Random Interphases from Atomistic Simulations. Application to a Polymer Nanocomposite

Stochastic Framework for Modeling the Linear Apparent Behavior of Complex Materials: Application to Random Porous Materials with Interphases

Nghiên cứu công nghệ, thiết kế, chế tạo dây chuyền thiết bị sơ chế bảo quản cà rốt quy mô công nghiệp - Mã số ĐTĐL.CN-89/21

Thiết kế giao diện người dùng dự đoán độ nhám bề mặt các loại hợp kim nhôm xét đến đặc tính cơ học và thông số gia công - Mã số PU2024-1-A-04

Mô hình hoá hiệu ứng bề mặt trong vật liệu nanocomposite nền polyme cốt hạt - Mã số 107.02-2021.62

Dự đoán sai số hình học và phát triển công cụ bù sai số cho máy gia công CNC - Mã số 2-06.2021.02

Nghiên cứu ứng xử của cấu kiện composite chịu nén bằng phương pháp phần tử hữu hạn và học máy - Mã số PU2022-1-A-01

Phát triển mô hình số dự đoán ứng xử cơ học vật liệu composite nền polyme gia cường nano - MS: 2-05.2020.04