170 citations · 900 across the 27 of their papers we have counts for
29 papers
High-throughput Alloy and Process Design for Metal Additive Manufacturing
Sofia Sheikh, Brent Vela, Pejman Honarmandi +6
Designing alloys for additive manufacturing (AM) presents significant opportunities. Still, the chemical composition and processing conditions required for printability (ie., their…
An Automated Fully-Computational Framework to Construct Printability Maps for Additively Manufactured Metal Alloys
Sofia Sheikh, Meelad Ranaiefar, Pejman Honarmandi +6
In additive manufacturing, the optimal processing conditions need to be determined to fabricate porosity-free parts. For this purpose, the design space for an arbitrary alloy needs…
Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples
Danial Khatamsaz, Vahid Attari, Raymundo Arroyave +1
Uncertainty analysis in the outcomes of model predictions is a key element in decision-based material design to establish confidence in the models and evaluate the fidelity of mode…
An Interpretable Boosting-based Predictive Model for Transformation Temperatures of Shape Memory Alloys
Sina Hossein Zadeh, Amir Behbahanian, John Broucek +7
In this study, we demonstrate how the incorporation of appropriate feature engineering together with the selection of a Machine Learning (ML) algorithm that best suits the availabl…
A ductility metric for refractory-based multi-principal-element alloys
Prashant Singh, Brent Vela, Gaoyuan Ouyang +4
We propose a quantum-mechanical dimensionless metric, the locallattice distortion (LLD), as a reliable predictor of ductility in refractory multi-principal-element alloys (RMPEA…
Machine-learning enabled thermodynamic model for the design of new rare-earth compounds
Prashant Singh, Tyler Del Rose, Guillermo Vazquez +2
We employ a descriptor based machine-learning approach to assess the effect of chemical alloying on formation-enthalpy of rare-earth intermetallics. Application of machine-learning…
Towards Stacking Fault Energy Engineering in FCC High Entropy Alloys
Tasneem Khan, Tanner Kirk, Guillermo Vazquez +5
Stacking Fault Energy (SFE) is an intrinsic alloy property that governs much of the plastic deformation mechanisms observed in fcc alloys. While SFE has been recognized for many ye…
Pseudoelastic deformation in Mo-based refractory multi-principal element alloys
Aayush Sharma, Prashant Singh, Tanner Kirk +5
Phase diagrams supported by density functional theory methods can be crucial for designing high-entropy alloys that are subset of multi-principalelement alloys. We present phase…
On the martensitic transformation in FeMnCoCr high-entropy alloy
Prashant Singh, Sezer Picak, Aayush Sharma +4
High-entropy alloys (HEAs), and even medium-entropy alloys (MEAs), are an intriguing class of materials in that structure and property relations can be controlled via alloying and…
Metric-driven search for structurally stable inorganic compounds
R. Villarreal, P. Singh, R. Arroyave
We report a facile `metric' for the identification of structurally and dynamically (positive definite phonon structure) stable inorganic compounds. The metric considers charge-imba…
Deep Multimodal Transfer-Learned Regression in Data-Poor Domains
Levi McClenny, Mulugeta Haile, Vahid Attari +3
In many real-world applications of deep learning, estimation of a target may rely on various types of input data modes, such as audio-video, image-text, etc. This task can be furth…
Impact of Particle Arrays on Phase Separation Composition Patterns
Supriyo Ghosh, Arnab Mukherjee, Raymundo Arroyave +1
We examine the symmetry-breaking effect of fixed constellations of particles on the surface-directed spinodal decomposition of binary blends in the presence of particles whose surf…
Accelerated design of Fe-based soft magnetic materials using machine learning and stochastic optimization
Yuhao Wang, Yefan Tian, Tanner Kirk +5
Machine learning was utilized to efficiently boost the development of soft magnetic materials. The design process includes building a database composed of published experimental re…
Uncertainty Propagation in a Multiscale CALPHAD-Reinforced Elastochemical Phase-field Model
Vahid Attari, Pejman Honarmandi, Thien Duong +3
ICME approaches provide decision support for materials design by establishing quantitative process-structure-property relations. Confidence in the decision support, however, must b…
The Effect of Chemical Disorder on Defect Formation and Migration in Disordered MAX Phases
Prashant Singh, Daniel Sauceda, Raymundo Arroyave
MAX phases have attracted increased attention due to their unique combination of ceramic and metallic properties. Point-defects are known to play a vital role in the structural, el…
Probing discontinuous precipitation in U-Nb
Thien Duong, Robert E. Hackenberg, Vahid Attari +3
U-Nb's discontinuous precipitation, , is intriguing in the sense that it allows formation and growth of the…
Finite Interface Dissipation Phase Field Modeling of Ni-Nb under Additive Manufacturing Conditions
Kubra Karayagiz, Luke Johnson, Raiyan Seede +8
During the laser powder bed fusion (L-PBF) process, the built part undergoes multiple rapid heating-cooling cycles, leading to complex microstructures with nonuniform properties. I…
Electromigration Response of Microjoints in 3DIC Packaging Systems
Vahid Attari, Thien Duong, Raymundo Arroyave
In multilevel 3D integrated packaging, three major microstructures are viable due to the application of low volume of solders in different sizes, and/or processing conditions. Ther…
Uncertainty Analysis of Microsegregation during Laser Powder Bed Fusion
Supriyo Ghosh, Mohamad Mahmoudi, Luke Johnson +3
Quality control in additive manufacturing can be achieved through variation control of the quantity of interest (QoI). We choose in this work the microstructural microsegregation t…
Fast Exact Computation of Expected HyperVolume Improvement
Guang Zhao, Raymundo Arroyave, Xiaoning Qian
In multi-objective Bayesian optimization and surrogate-based evolutionary algorithms, Expected HyperVolume Improvement (EHVI) is widely used as the acquisition function to guide th…
Exploration of the Microstructure Space in TiAlZrN Ultra-Hard Nanostructured Coatings
Vahid Attari, Aitor Cruzado, Raymundo Arroyave
TiAlZrN cubic alloys within the 25-70\% Al composition range have high age-hardening capabilities due to metastable phase transition pathways at high temperat…
Multi-Information Source Fusion and Optimization to Realize ICME: Application to Dual Phase Materials
Seyede Fatemeh Ghoreishi, Abhilash Molkeri, Ankit Srivastava +2
Integrated Computational Materials Engineering (ICME) calls for the integration of computational tools into the materials and parts development cycle, while the Materials Genome In…
Bayesian Uncertainty Quantification and Information Fusion in CALPHAD-based Thermodynamic Modeling
Pejman Honarmandi, Thien Chi Duong, Seyede Fatemeh Ghoreishi +2
Calculation of phase diagrams is one of the fundamental tools in alloy design---more specifically under the framework of Integrated Computational Materials Engineering. Uncertainty…
On the Interfacial Phase Growth and Vacancy Evolution during Accelerated Electromigration in Cu/Sn/Cu Microjoints
Vahid Attari, Supriyo Ghosh, Thien Duong +1
In this work, we integrate different computational tools based on multi-phase-field simulations to account for the evolution of morphologies and crystallographic defects of Cu/Sn/C…