Methods, progresses, and opportunities of materials informatics
C Li, K Zheng - InfoMat, 2023 - Wiley Online Library
As an implementation tool of data intensive scientific research methods, machine learning
(ML) can effectively shorten the research and development (R&D) cycle of new materials by …
(ML) can effectively shorten the research and development (R&D) cycle of new materials by …
[HTML][HTML] Evaluation of computational homogenization methods for the prediction of mechanical properties of additively manufactured metal parts
It is well known that the strongly location-dependent microstructures observed in metal parts
made using additive manufacturing (AM) processes differ from those found in components …
made using additive manufacturing (AM) processes differ from those found in components …
Development of interpretable, data-driven plasticity models with symbolic regression
GF Bomarito, TS Townsend, KM Stewart… - Computers & …, 2021 - Elsevier
In many applications, such as those which drive new material discovery, constitutive models
are sought that have three characteristics:(1) the ability to be derived in automatic fashion …
are sought that have three characteristics:(1) the ability to be derived in automatic fashion …
A microstructure-based fatigue model for additively manufactured Ti-6Al-4V, including the role of prior β boundaries
S Krishnamoorthi, R Bandyopadhyay… - International Journal of …, 2023 - Elsevier
Microstructure-based models of additive manufactured (AM) Ti-6Al-4V should faithfully
represent the unique microstructural features of these materials to provide a more thorough …
represent the unique microstructural features of these materials to provide a more thorough …
Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for Ni-based superalloys
This paper introduces a concurrent multiscale modeling framework for developing
parametrically-upscaled crystal plasticity models (PUCPM) for crystalline metals that are …
parametrically-upscaled crystal plasticity models (PUCPM) for crystalline metals that are …
Machine learning-enabled identification of micromechanical stress and strain hotspots predicted via dislocation density-based crystal plasticity simulations
The present work uses a full-field crystal plasticity model with a first principles-informed
dislocation density (DD) hardening law to identify the key microstructural features correlated …
dislocation density (DD) hardening law to identify the key microstructural features correlated …
Predicting the complete tensile properties of additively manufactured Ti-6Al-4V by integrating three-dimensional microstructure statistics with a crystal plasticity model
A multiscale finite element model integrating microstructure statistics with an enhanced three-
dimensional (3D) crystal plasticity model including damage has been developed to predict …
dimensional (3D) crystal plasticity model including damage has been developed to predict …
Developing parametrically upscaled constitutive and crack nucleation models for the α/β Ti64 alloy
Abstract This paper develops Parametrically Upscaled Constitutive Model (PUCM) and the
Parametrically Upscaled Crack Nucleation Model (PUCNM) for a commercially used α/β …
Parametrically Upscaled Crack Nucleation Model (PUCNM) for a commercially used α/β …
Uncertainty-quantified parametrically homogenized constitutive models (UQ-PHCMs) for dual-phase α/β titanium alloys
This paper develops an uncertainty-quantified parametrically homogenized constitutive
model (UQ-PHCM) for dual-phase α/β titanium alloys such as Ti6242S. Their microstructures …
model (UQ-PHCM) for dual-phase α/β titanium alloys such as Ti6242S. Their microstructures …
Parametrically upscaled crack nucleation model (PUCNM) for fatigue nucleation in titanium alloys containing micro-texture regions (MTR)
Abstract Micro-texture regions (MTRs), delineated as the clusters of grains with similar
crystallographic orientations in the polycrystalline microstructure, play a significant role in …
crystallographic orientations in the polycrystalline microstructure, play a significant role in …