3D full-field crystal plasticity simulations on an explicit microstructure: How accurate are we?

3D phase-field modelling of microstructure evolution during additive manufacturing of multi-component single crystal Ni-based super alloys

A Computational Tool For Microstructure Development In Multicomponent Alloys During Additive Manufacturing

A data-driven approach for estimating three-dimensional microstructural features of bainitic steels using phase-field simulation results

A Deep Learning Approach for Phase Detection in 2D-XRD Patterns of Ti-6Al-4V

A feasibility study of machine learning-assisted alloy design

A FRAMEWORK FOR MULTILEVEL ROBUST CO-DESIGN OF MATERIAL AND PRODUCT SYSTEMS

A generative adversarial network for the creation of complex 3D bimodal polycrystalline microstructures: Application to Cold-Spray Al7050 Alloy

A Machine Learning-based Virtual Lab to predict yield surfaces from crystal plasticity simulation

A new AI/ML framework for materials innovation

A phenomenological model for the relationship between fatigue life and mechanical properties

A physics-based correlation study of hot cracking phenomenon in the processes of Additive Manufacturing

A physics-informed multimodal conditional generative model for linking process and microstructure in metal additive manufacturing

A Quantitative Phase Field Tool for Lithium-Metal Battery Design

A Software Approach to Predict Creep Behavior in Time and Temperature Dependent Materials

Ab-initio Modelling of Phonon Transport in 2D High Entropy MXene layers

Accelerating Development and Characterization of Nuclear Materials Processing: An Integrated Methodology

Accelerating Development of Materials with Artificial Intelligence

Advancing ICME technologies via strategic collaboration while bridging the gap between academia and industry

Alloy Evaluation and Flow Forming Process Modeling for Net Shape Aerospace Structures

An ICME based approach for improving high-strength Ni alloy process yield

An ICME Framework for Design of Hot-rolled Nb,Ti Microalloyed Steels

An ICME workflow to assess the process sensitivity of the heat treatment of IN718

An integrated process-structure-property framework for in-silico design of additively manufactured 18Ni-300 maraging steels

An Interpretable Machine Learning Model to Predict Molten Salt Corrosion of Compositionally Complex Alloys and Facilitate Understanding of Novel Corrosion Mechanisms

Analysis of AA6061 Cladding Diffusion Bonding Quality for the U-10Mo Monolithic Fuel using Multi-fidelity Machine Learning Surrogate

Application of deeplearning object detection and image segmentation code such as YOLO and U-Net for detection of helium bubbles and voids in nuclear reactor materials.

Applications of CALPHAD Based Tools to Additive Manufacturing

Artificial Intelligence and High-Performance Data Mining for Accelerating Materials Discovery and Design

Automated Analysis Pipeline to Investigate Bond-Wire Corrosion under Salt-water Exposure

Automated Characterization of Generated Meltpool from High Speed Camera

Automated hierarchical screening of refractory multicomponent alloys with high intrinsic ductility and surface passivation potency

Automatic deducing the new materials knowledge within the OWL framework

Automation of the ICME Workflow Incorporating Material Digital Twins at Different Length Scales Within a Robust Information Management System

Batch-wise Improvement in Reduced Design Space using a Holistic Optimization Technique (BIRDSHOT)

Building explainable models-Determining Process-Structure-Property Relationships for Friction Stir Processed Metals

Cellular automaton simulation of microstructure and porosity formation during solidification processing of aluminum alloys

Charge-Density based Convolutional Neural Networks for Stacking Fault Energy Prediction in Concentrated Alloys

Chemistry and Processing Prediction for Targeted Microstructure Morphology

Columnar to Equiaxed Transition during Solidification under Additive Manufacturing Conditions

Composition-microstructure control of in-situ alloying using laser powder-bed fusion additive manufacturing: High-fidelity thermal-chemical-fluid-microstructure modelling

COMPUTATIONAL DESIGN AND MODELLING OF NICKEL-BASED ALUMINDES HIGH ENTROPY ALLOYS

Computational Modeling of the Microstructure Evolution in the Mo-V Binary Alloy System

Computational Simulations on Behavior of UHPC Subjected to Chloride Ingress

Computationally Derived Correlations for Process-induced Cracking during AM of Nickel-based Superalloys

Coupled thermal-solidification process simulation of sapphire growth

CRADLE a Data Infrastructure for Printable Corrosion-Resistant Alloys

Crudden_PLACEHOLDER

Damage Prediction of Sintered α-SiC Using Thermo-mechanical Coupled Fracture Model

Data-Driven Modeling for Service Lifetime Prediction of Acrylic Polymers

Database Design Strategies for Coordinated Simulation and Testing in Additive Manufacturing

Databasing through the AM Pipeline: From Powder to Part

Decision Support System for Device Fabrication

Deep Learning enabled Additive Manufacturing (AM) lattice segmentation

Deformation behavior in core-shell heterostructured materials

Design of 3D-printed nanocomposite shields for efficient EMI shielding via finite element modelling

Design of manufacturing process of polymer composite through multiscale cure analysis using Bayesian optimization

Design of Titanium Aluminum Reinforced with TiB2 Composite for Powder Manufacturing Using Integrated Computational Materials Engineering

Designing Aerospace Components with Model-based Definitions to Enable Location-specific Tailoring of Properties

Designing fatigue resistance of metallic alloys with a hybrid of deep learning and micromechanics

Development of a Computational Framework to Predict Resin Additive Manufacturing for Experimental Design

Development of a fully anisotropic Monte Carlo Potts model to study grain growth

Development of a Roadmap for Computational Materials-Informed Qualification and Certification of Process Intensive Metallic Materials

Development of Digital Model Predicting Mechanical Properties of Inconel 718 for Powder Based Additive Manufacturing

Digital Threads for FAST Processing

Digital Transformation of Materials Enabled and Accelerated by ICME

Directed energy deposition of Al-0.5Sc-0.5Si alloy: Effect of thermal cycles in microstructure and mechanical properties

Discovery of Multi-Functional Polyimides through High-Throughput Screening using Explainable Machine Learning

Discrete dislocation dynamics simulation analysis of plasticity and size effect in additive manufactured metals

Discriminative Object Tracking by Domain Contrast

Effect of Cooling Rates on the Evolution of Microstructure, Phase Transformation, and Strain in Ti-6Al-4V Studied by High Speed Synchrotron X-ray Diffraction

Effects of surface segregations in catalytic AgAuCuPdPt high entropy alloy

Elastic Constants Predictions in Multi-Principal Element Alloys from DFT and Machine Learning

Enabling molecular dynamics simulations of helium bubble formation in tritium-containing austenitic stainless steels: An Fe-Ni-Cr-H-He potential

Enhancement of grain refinement and heat resistance in TiB2-reinforced TiAl matrix composite powder manufactured by spark plasma sintering

Evaluation of stochastic safe life of a DP steel component subjected to fatigue using a micromechanics based approach

Evolution of Model-Based Material Definitions

Examining Phonon Transport in High Entropy Oxides: An Advanced Thermal Barrier Coating Material

ExtremeMat: quantification of the effect of microstructure and composition on the creep rupture life of steels.

FAIR data in PMD: Development of MSE mid-level and standard-compliant application ontologies

Finite volume based multi-contact modeling to study detailed mechanical response of an elastic material

First-principles and Data-driven Discovery of High-Entropy Alloys for Corrosion Protection

Fluoroelastomer Crystallization Kinetics Studied by Deep Learning Segmentation of Atomic Force Microscopy Images

From Li atom to battery pack: integrated multiscale simulation

Generative alloy design based framework for in-silico design of HSLA steels

Geospatiotemporal Modeling of Near Subsurface Temperatures of the Continental United States for Assessment of Materials Degradation

High-Throughput Computation and Process Design for Metal Additive Manufacturing

HIP Diffusion Bonding Process Modeling for Fabrication of U-10Mo LEU Fuel

HPC+AI@Edge Enabled Real-time Materials Characterization

ICMD: ICME-Based Genomic Materials Design

ICME and ML Framework to Predict the Microstructure During U-10Mo Fuel Fabrication

ICME design approach based on multi-scale FEM, phase-field and ab-initio simulations

ICME for DNA-Templated Dye Aggregate Design for Quantum Information Applications

ICME Modeling of Can Body Stock

Identifying scaling laws for discretization error in process-structure simulations of laser powder bed fusion

Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images

Impact of dendrite tip velocity formulation on simulated microstructures of powder bed fusion Ti-6Al-4V

Influence Of Interfacial Voids And Grain Boundary Conductivity On Depletion Kinetics Of Sodium Metal Anodes In All-Solid-State Batteries

Integrated computational materials engineering toolkit to understand process-structure-property relationships of additively manufactured metals

Integrated framework for cure-informed progressive damage and failure analysis of composite structures

Integrating crystal plasticity and thermo-mechanical constitutive modeling

Intelligent Design & Manufacturing of High-Performance Iron Castings using AI/ML

Irradiance Simulation of Real World Field for PV Backsheets Degradation

Joining of Dissimilar Metals for High-Speed Electric Motor Applications: A Molecular Dynamics Study

Machine-Learned Structural Descriptors for Metallic and Covalent Glassy Materials

Machine Intuitive Development of Army Steels - MIDAS

Machine learning-enhanced Robust Co-Design Exploration for Many Objective, Multilevel Materials Design Problems

Machine learning driven prediction of capacity fade in lithium-ion batteries

Managing Uncertainty in the Strength of Ceramics

Material and process parameter optimization for additive manufacturing using high-throughput kinetic simulations

Material Data Scraping and Automatic Curation

Materials Commons and FAIR Data

Materials Data & Informatics: Curation, Frameworks, Access, and Potential for Discovery and Design

Micromechanical modeling of cyclic damage in metallic materials

Microscopy Data Acquisition and Analysis Workflows for Microstructure Quantification

Microstructural Analysis of Stainless Steel SEM Images by Combining EBSD Data and Deep Learning

Microstructural Engineering towards alloy design

Microstructural evolution during closed die forging of UDIMET720 and prediction of mechanical properties

Microstructure-Based Modelling Approach to Determine Hydrogen Diffusion and Trapping in Steels

Microstructure-sensitive materials design via efficient uncertainty propagation and process-structure-property linkages

Microstructure informed modelling of ductile-to-brittle transition in ferritic steels

Microstructure variability prediction in powder bed metal additive manufacturing

Model-Based Material and Process Definition Application to Aerospace Component Design and Lifing

Model-Based Material and Process Definitions for Additive Component Design and Qualification

Modeling coupled chemo-mechanical fracture in DAMASK

Modeling defect generation during production of single crystal sapphire

Modeling the effects of short range order on initial passivation in binary alloys

Modelling of carbides in irradiated steel microstructure

Molecular Modelling of Locally Concentrated Electrolytes for Lithium-ion Batteries

MPMD ICME Industry Implementation Award: Multi-scale Approach for Developing a High Silicon Al-Si-Cu Alloy for Additive Manufacturing Supercharger Rotors

Multi-phase-field simulation of rapid solidification in SUS316L stainless steel using aritificial neural network-based thermodynamic calculation

Multi-Scale Microstructure Evolution Informed Constitutive Behavior Modeling of Cast Iron

Multi-Scale Microstructure Predictions and Phase Transformations in Additively Manufactured Ti-6Al-4V Using a Hybrid Kinetic Monte Carlo – Phase Field Method

Multi-scale Modeling of Composites Manufacturing Processes

Multi-scale modeling of dislocation plasticity in nano-architectected metals

Multilevel Modelling and Optimization for Large Scale Additive Manufacturing

Multiphysics Modeling of Ti-based Composite Direct Energy Deposition for Analyzing the Dynamics of Nano-sized Reinforcing Particles

Multiscale Modeling and Machine Learning-Based Digital Twin for Piezocomposite Damage Sensing

Multiscale modeling of metal vaporization/condensation in manufacturing processes

Multiscale modeling of structure-property relationships in highly filled thermoplastic composites

Multiscale Study of the Influence of Electrolyte on the System Level Performance of Na ion Batteries

Nanoscale Precipitation Strengthening Mechanisms in CoCrNi-based Medium Entropy Alloys

NexusLIMS: A Laboratory Information Management System for Shared-Use Electron Microscopy Facilities

NIST Interatomic Potentials Repository: Discovering, evaluating and comparing interatomic potentials

Numerical characterization of the effect of precipitates on the creep responses of steel alloys

On the applicability of CALPHAD and process modelling to predict solidification cracking

On the origin of dendrite misorientation in Ni-based single crystal superalloy

Ontology-based digital representations of materials testing in the MaterialDigital initiative

Optimizing AgAuCuPdPt High Entropy Alloy Compositions as Efficient Catalysts for CO2 Reduction Reaction

Parametrically-Upscaled Crack Nucleation Model(PUCNM) for Fatigue Nucleation in Ti Alloys Containing Micro-Texture Regions

Phase Field Modeling Investigation of Polycrystalline Grain Growth Using a Spherical-Gaussian-Based 5-D Computational Approach

Phase field simulation of heat treatment process for single crystal Ni-based superalloy

Plastic deformation and failure predictions of Al-6061 with inhomogeneities using finite element modeling techniques across different length scales

Predicting grain morphology in LBPF Haynes 282 with complex geometry via ICME approach

Predicting Laser Powder Bed Fusion Microstructures Using Machine Learning

Predicting mechanical properties of multicomponent alloys via a hybrid scheme of heuristic algorithms and artificial neural network

Predicting the Metallurgical Bond at the Interface Between Two Aluminum Sheets Joined Using High-Velocity Riveting Through Finite Element and Molecular Dynamics

Predicting the performance degradation of advanced devices exposed to ionizing radiation

Prediction of prior austenite structure as a function of processing parameters in additively processed high-strength steel

Prediction of solidification cracking for additively manufactured Rene 80 superalloy by directed energy deposition

PRISMS-Indentation : An Open-Source Crystal Plasticity Finite Element Virtual Indentation Module

PRISMS-PF: An Open-Source High-Performance Phase-Field Modeling Framework

Process Chaining to Enable a Material-Informed Digital Twin Prototype for Marine Structures

Pushing the Limits of Deep Learning for Synthetic Image Generation of Titanium Alloy Microstructures in Limited Data Regime

Quantitative Precipitate Analysis of an Age-Hardenable Aluminium Alloy Using a Deep Learning Approach

Rapid Design of High-Performance Refractory High Entropy Alloys Aided by Multiscale Modeling and Additive Manufacturing

Robotic Blacksmithing: Towards the Autonomous Control of Geometry and Microstructure Via Iterative, Open-Die Forming

Simulated Microstructural Evolution and Tool Chain Development for Process Optimization of Cast & Wrought Nickel-Base Superalloy Billet Material

Simulating phenomena of industrial rolling via Gleeble compression for calibration of an aluminum processing model

Simulating the Microstructure to Property Relationships with Multiscale Recursive Micromechanics

Simulation of Dynamic Recrystallization in a 316L Stainless Steel Friction Stir Weld with Kinetic Monte Carlo Modeling

Simulations showing the formation of grooves and ledges over γ′ precipitates during high- temperature creep: A dynamically coupled discrete dislocation dynamics and phase-field model

Smoothed particle hydrodynamics model for friction stir processing of 316 L stainless steel: Process modeling and microstructure prediction

Spatiotemporal Feature Extraction using Deep Learning for Stress Corrosion Cracking in X-Ray Computed Tomography Scans of Al-Mg Alloys

Statistical Learning Approaches for Predicting Pore Formation from In-situ Characterization for Additive Manufacturing of SS 316L Using Laser Powder Bed Fusion

Study of the critical angle for nucleation of different shape of nanoparticles in an aluminium alloy

Sustainable Aluminum Alloy Design using Physics-Informed Machine Learning

Tensile Loading Modelling of Laser-Deposited AlCoCrFeNiCu High Entropy Alloy Using Comsol Multiphysics

The alloy optimization software (TAOS): Application to HEAs

The effects of orientation and temperature on deformation mechanisms in single-crystalline CrCoNi

The Multiple Facets of ICME in Modern Manufacturing at Brunswick Boat Group and Mercury Marine

The Potency of Alloy Composition on the 316L Solidification Path in Fusion-based Additive Manufacturing

The role of Computational Materials Design in the circular economy of materials

The through-process texture analysis of non-grain-oriented electrical steel

Towards Deep Learning of Dislocations from TEM images: The Problem of “Never Enough Training Data”

Towards interoperability: Digital representation of a material specific characterization method

True multiscale simulations of virtual coupon tests in composites.

Uncertainty quantification in internal stress distribution via integrated high- energy synchrotron X-ray experiments and crystal plasticity simulations

Uncertainty reduction of profilometry-based indentation plastometry using optical profilometry

Understanding Grain Growth using a Physics-Regularized Interpretable Machine Learning Model

Unravelling the Ultrahigh Modulus of Resilience of Core-Shell SU-8 Nanocomposite Nanopillars Fabricated by Vapor-Phase Infiltration

Using Unsupervised Learning to Identify Small Crack Characteristics and Link to Fatigue Life

Validation of crystal plasticity simulations using high-energy X-Ray diffraction microscopy measurements

Vapor depression segmentation and absorptivity prediction from synchrotron x-ray images using deep neural networks

VPSC’s New Clothes: Developing a modern MATLAB API for automating high-throughput VPSC experiments

Questions about ProgramMaster? Contact programming@programmaster.org