A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality
A new data-driven computational framework is developed to assist in the design and
modeling of new material systems and structures. The proposed framework integrates three …
modeling of new material systems and structures. The proposed framework integrates three …
Symbolic regression in materials science
The authors showcase the potential of symbolic regression as an analytic method for use in
materials research. First, the authors briefly describe the current state-of-the-art method …
materials research. First, the authors briefly describe the current state-of-the-art method …
Data-driven multi-scale multi-physics models to derive process–structure–property relationships for additive manufacturing
Additive manufacturing (AM) possesses appealing potential for manipulating material
compositions, structures and properties in end-use products with arbitrary shapes without …
compositions, structures and properties in end-use products with arbitrary shapes without …
Two-step multiscale homogenization for mechanical behaviour of polymeric nanocomposites with nanoparticulate agglomerations
A multiscale analysis is performed to investigate the effect of nanoparticulate agglomeration
on the mechanical properties of polymeric nanocomposites. The percolated interphase …
on the mechanical properties of polymeric nanocomposites. The percolated interphase …
A supervised machine learning approach for accelerating the design of particulate composites: Application to thermal conductivity
MS Hashemi, M Safdari, A Sheidaei - Computational Materials Science, 2021 - Elsevier
A supervised machine learning (ML) based computational methodology for the design of
particulate multifunctional composite materials with desired thermal conductivity (TC) is …
particulate multifunctional composite materials with desired thermal conductivity (TC) is …
Modular-based multiscale modeling on viscoelasticity of polymer nanocomposites
Polymer nanocomposites have been envisioned as advanced materials for improving the
mechanical performance of neat polymers used in aerospace, petrochemical, environment …
mechanical performance of neat polymers used in aerospace, petrochemical, environment …
Escaping the Ashby limit for mechanical damping/stiffness trade-off using a constrained high internal friction interfacial layer
The development of new materials with reduced noise and vibration levels is an active area
of research due to concerns in various aspects of environmental noise pollution and its …
of research due to concerns in various aspects of environmental noise pollution and its …
A statistical descriptor based volume-integral micromechanics model of heterogeneous material with arbitrary inclusion shape
A continuing challenge in computational materials design is developing a model to link the
microstructure of a material to its material properties in both an accurate and computationally …
microstructure of a material to its material properties in both an accurate and computationally …
A stochastic analysis of the damping property of filled elastomers
SS Kulkarni, A Tabarraei - Macromolecular Theory and …, 2019 - Wiley Online Library
Finite elements modeling is used to investigate the damping property of Polymer composites
consisting of a viscoelastic matrix and randomly dispersed elastic particles. The impact of …
consisting of a viscoelastic matrix and randomly dispersed elastic particles. The impact of …
A microstructure modeling scheme for unidirectional composites using signed distance function based boundary smoothing and element trimming
A simple and accurate scheme for modeling microstructures is proposed with the help of
element trimming combined with signed distance function based boundary smoothing. To …
element trimming combined with signed distance function based boundary smoothing. To …