Anomaly Detection via In-situ Monitoring and Machine Learning

A data driven framework to predict and bridge multiscale mechanical phenomenon in additively manufactured component

A Deep Learning Framework for Predicting Surface Deformation of Alloys under Uniaxial Tensile Loading at Microscopic Length Scale

A machine learning-based approach for process optimization in laser based 3-D printing of high-performance Al-alloys

A New Fast Solidification Cracking Indexing Tool for Metallic Alloys

A Numerical Analysis of Solidification Microstructure Dependence on Solidification Characteristics in Laser Based Additive Manufacturing

A Resource-Effective In-situ Process Monitoring Framework for Defect Detection and Quality Assurance

Abstract Title: Large Language Models for Distilling Knowledge in Additive Manufacturing

Accelerating Crystal Plasticity Fatigue Simulations of Additively Manufactured Metals Using the “Materialize” Framework

Additive Manufacturing Digital Twin (AMDT): Part Level Process Map Characterization Using Physics Based Simulation and Machine Learning

Additive Manufacturing Guided with High-Speed Photography and Machine Learning

Additive Manufacturing Process Modeling with Multi-Output Gaussian Processes

Additive Manufacturing User Interface (AMUI): An Intuitive Software Suite for Part Level Process Parameter Selection

AiDED - Accurate machine learning inference framework for process parameter optimization in laser Directed Energy Deposition

AlloyGPT: an agent-based LLM framework for the design of additively manufactured structural alloys in extreme environments

AM microstructure image prediction using dimension reduction

AMMap Library of Additive Manufacturing Design, Alloy Discovery, and Path Planning

Application of Multi-Physics Simulations and Machine Learning to Predict Spatter in Laser Powder Bed Fusion

Can Machine Learning Predict the Liquidus Temperature of Binary Alloys?

Characterization & modeling of highly directional SS316L microstructure as fabricated by the Area Printing® additive manufacturing process

Comprehensive analysis of 316L samples fabricated via Directed Energy Deposition: integrating simulation with microstructural and mechanical evaluations

Computational materials design for multimaterial additive manufacturing

Controlling Bubble Transport with External Magnetic Fields in Additive Manufacturing

Controlling microstructure and defect through physics-informed machine learning in laser powder bed fusion process

Correlating processing, microstructure and property with machine learning for powder-bed fusion additive manufacturing

Development of a Microstructure-Informed CPFE Model for the High-Temperature Application of SLM Inconel 718 Alloy

Development of a Steady-State 3D Heat Transfer and Materials Flow Model for Multi-Layer Additive Friction Stir Deposition

Digital Shadow Model Reference Control for Directed Energy Deposition

Effect of Interpass Temperature on the Residual Stress Evolution in a Nickel-Aluminum Bronze Wire-Arc Additive Manufacturing Build

Effect of nucleation model and data resolution on cellular automata texture strength prediction

Efficient Laser Powder Bed Fusion Microstructure and Texture Modeling

Elastoplastic Thermomechanical Simulation of Powder Bed Fusion Incorporating Isotropic Strain Hardening and Cyclic Hardening/Softening Effects: A Comprehensive Approach

Enabling Part-Scale Microstructure Modeling in Powder Bed Fusion

Evaluating Absorptivity from Surface Temperature Measurements of Tracks Produced by Direct Laser Metal Deposition

Finite Element Analysis of Deposition Strategies in Dissimilar Metal Additive Manufacturing

First-principle investigation and modeling of airborne acoustic emission mechanisms in selective laser-metal fusion printing processes

Full-Field Crystal Plasticity Surrogate Modeling for Rapid Defect Assessment in AM Materials

Gaussian process regression modelling and texture control during hot deformation of additively manufactured maraging steels

Generative property optimization of stochastic microstructures

Hierarchical Machine Learning Framework for Optimizing Material Properties.

High-fidelity Numerical Simulation of Droplet-Powder Bed Interactions in Binder Jet Additive Manufacturing.

High fidelity modeling of laser absorptivity and molten pool geometry during powderbed fusion processes of Ti64Al4V with the stationary and moving laser beam sources

Hyperspectral In-Situ Process Monitoring with High-Speed Infrared Pyrometry, Eddy Current Testing, and Machine Learning, for Predictive Analysis of AM Part Properties

Impact of Infill Density and Raster Angle on 3D Printed High Impact Polystyrene (HIPS) Tensile Behavior

Implementation of alloy-specific thermo-fluid modelling for designing Mg alloys suitable for laser powder-bed fusion

Integrating CAFE with MOOSE for Microstructure Evolution Analysis in 316L Stainless Steel 3D Printing Process

Interpretable machine learning approach for exploring process-structure-property relationships in metal additive manufacturing

Laser Powder Bed Fusion of Nitinol: Experimental, Analytical and Finite Element Process Investigations

LLM Agents for 3D Printing Error Detection and Correction

Local Stress Analysis of Ti5553 Lattice Structures Under Mixed Mode Stresses

Machine Learning-Driven Predictions of Material Printability in Laser Powder Bed Fusion

Machine Learning Assisted Predictions of Thermal and Stress Profiles During Laser-based Additive Manufacturing

Machine Learning Enabled Process Optimization during 3D Printing of Tablets

Machine Learning Guided Prediction of Printability During Additive Manufacturing

Machine Vision-enabled Defect Characterization in Additively Manufactured Steels

Mathematical Quantification of Meniscus Fluctuations and Asymmetries in a Medium-Thin Slab Mold

Mathematical study of partial blockage of SEN in specific zones on flow patterns in the mold

Mechanical behavior of additively manufactured metamaterials under dynamic load

Mechanical Evaluation of Nested Structures Using Finite Element Analysis

Melt Pool Width Prediction With Machine Learning In Selective Laser Melting

Micromechanical Modeling Exploration of Microstructure-Properties of Additively Manufactured Pure Tantalum

Microstructural investigation and numerical analysis and observation of additively manufactured anti-tetra-chiral 316L stainless steel samples

Microstructure Evolution and the Influence on Material Properties in Additive Manufacturing

Microstructure Evolution and the Influence on Material Properties in Additive Manufacturing with Analytics for a Green Future

Microstructure Prediction in Laser Powder Bed Fusion via Physics-Based Modeling and In-situ Sensor Data Fusion

Modeling And Simulation Of The Shock Response Of Additively Manufactured High-Performance Steel

Modeling fatigue crack initiation and propagation life in additively manufactured alloys across fatigue regimes

Modeling GMA-DED Bead and Layer Geometry for Defect Elimination

Modeling the impact of defects on the mechanical performance of 3D printed natural carbon-enhanced polymer composite structures.

Multi-fidelity surrogate for integrating melt pool models across diverse input spaces

Multi-Objective Study on Optimization of WAAM Parameters for Optimal Material Properties

Multi-phase-field modeling and high-performance simulations for grain structures depending on scanning strategy during PBF additive manufacturing

Numerical analysis of the flow and orientation of reinforcements in a polymer matrix during flow through a nozzle in direct ink writing process

Numerical and experimental investigations of thermal debinding and sintering in low-temperature additive manufacturing of magnesium alloys

On the of rapid solidification in additive manufacturing conditions by combining multiscale simulations and in-situ monitoring techniques

Performance Optimization of Additively Manufactured β-TI5553 Alloy Lattice Structures: A Methodical Approach Integrating Topology and Strut-Level Microstructure

Physics-based and data-driven ICME for metal additive manufacturing: from feedstock to process optimization

Prediction of Thermal Profile of Heat-Affected Zone during Laser Cladding from a Long-wavelength Infrared Camera

Preventing Substrate Distortion Using Hybrid Additive and Subtractive Approach

Quantification of defects in additively manufactured steel using unsupervised machine learning

Quantifying the Characteristics of Pore Features using Gaussian Process Machine Learning in LPBF Process Parameter Space

Rapid Parameter Set Development and Printability Optimization for Laser Powder Bed Fusion using ICMD® Materials Design Software

Real-time Detection of Keyhole Pore Generation in Laser Powder Bed Fusion via A Multi-sensor System and Physics-informed Machine Learning

Residual stress evaluation in the laser powder bed fusion of hybrid alloys

Revisiting the Stefan Problem for Accurate AM Modeling

Self-supervised vision transformers for anomaly detection in 3D printing

Sensing-Based AM Process Mapping to Improve Reliability

Simulation and Testing of Additively Manufactured Polyethylene Terephthalate Glycol (PETG) Tensile Specimens

Simulation of Melt Pool Dynamics in Wire-based and Powder-based Directed Energy Deposition

Synchrotron-Based In Situ/Operando Characterization Capabilities at NSLS-II

Systematic procedure for converting a hollow 3D surface scan (3DSS) to a functional solid model for the use in Finite Element Analysis

Thermo-mechanical modeling and validation of residual stress during metal laser powder bed fusion and post-build stress relief heat treatment processes

Thermo-Mechanical Modeling of Additively Manufactured Ceramic Parts through Stereolithography

Topology of cellular structures with the targeted non-linear mechanical response

Towards a fully predictive Additive Manufacturing module.

Understanding Structure-Property Interplay in 3D Printed Gyroid TPMS Lattices

Use of Sacrificial Structures for Managing Distortion and Residual Stresses in Large-Scale Hybrid Additive and Subtractive Manufacturing

Using part-scale in-situ defect formation monitoring to assist post-build qualification and predict fatigue performance in LPBF

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