[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …
Machine Learning utilizing biodegradable polymers and their composites, presenting a …
Solidification in metal additive manufacturing: challenges, solutions, and opportunities
The physics of alloy solidification during additive manufacturing (AM) in methods such as
laser powder bed fusion (LPBF), electron beam powder bed fusion (EPBF), and laser …
laser powder bed fusion (LPBF), electron beam powder bed fusion (EPBF), and laser …
Additive friction stir deposition of metallic materials: Process, structure and properties
Additive friction stir deposition (AFSD) is a relatively new additive manufacturing technique
to fabricate parts in solid state below the melting temperature. Due to the solid-state nature …
to fabricate parts in solid state below the melting temperature. Due to the solid-state nature …
Machine learning surrogate model for acceleration of ferroelectric phase-field modeling
K Alhada-Lahbabi, D Deleruyelle… - ACS Applied Electronic …, 2023 - ACS Publications
Phase-field modeling is a powerful technique for predicting domain structure evolution and
electromechanical properties of ferroelectric materials. However, it remains computationally …
electromechanical properties of ferroelectric materials. However, it remains computationally …
A modified and efficient phase field model for the biological transport network
This paper aims to establish the biological transport network based on the phase field
model. In order to ensure that the topological shape is formed under the guidance of …
model. In order to ensure that the topological shape is formed under the guidance of …
Vision on metal additive manufacturing: Developments, challenges and future trends
Additive Manufacturing (AM) is one of the innovative technologies to fabricate components,
parts, assemblies or tools in various fields of application due to its main characteristics such …
parts, assemblies or tools in various fields of application due to its main characteristics such …
Accelerating phase-field simulation of three-dimensional microstructure evolution in laser powder bed fusion with composable machine learning predictions
Phase-field (PF) modeling is a versatile physics-based computational method that has been
used to simulate the evolution of microstructures. The PF method can produce accurate …
used to simulate the evolution of microstructures. The PF method can produce accurate …
Learning the nonlinear dynamics of mechanical metamaterials with graph networks
The dynamics of soft mechanical metamaterials provides opportunities for many exciting
engineering applications. Previous works have shown tremendous success in describing …
engineering applications. Previous works have shown tremendous success in describing …
[HTML][HTML] Neural cellular automata for solidification microstructure modelling
Abstract We propose Neural Cellular Automata (NCA) to simulate the microstructure
development during the solidification process in metals. Based on convolutional neural …
development during the solidification process in metals. Based on convolutional neural …
Mixed-mode fracture prediction of notched components using phase-field approach
The application of the phase-field method (PFM) to brittle fracture for studying complex
fracture phenomena has recently gained attention from researchers. However, there has …
fracture phenomena has recently gained attention from researchers. However, there has …