News
Our paper, entitled "Stochastic Modeling and Identification of Material Parameters on Structures Produced by Additive Manufacturing", accepted for publication in CMAME
August 30, 2021
Our manuscript, entitled "Stochastic Modeling and Identification of Material Parameters on Structures Produced by Additive Manufacturing", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering (funded by NSF under grants CMMI-1726403 and CMMI-1942928).
Our paper, entitled "On the sensitivity of the design of composite sound absorbing structures", accepted for publication in Materials & Design
August 22, 2021
Our manuscript, entitled "On the sensitivity of the design of composite sound absorbing structures", has been accepted for publication in Materials & Design.
Our paper, entitled "Nematic liquid crystalline elastomers are aeolotropic materials", accepted for publication in PRSA
August 7, 2021
Our manuscript, entitled "Nematic liquid crystalline elastomers are aeolotropic materials", has been accepted for publication in Proceedings of The Royal Society A (featured in cover page).
Peiyi Chen won Student Competition at USNCCM-16
August 1, 2021
Peiyi Chen won the Student Competition for the track Data-Driven Modeling, Uncertainty Quantification, and Machine Learning, at the latest USNCCM. Congrats Peiyi!
Our paper, concerned with geometrical uncertainties on complex geometries, accepted for publication in CMAME
June 18, 2021
Our manuscript, entitled "Stochastic modeling of geometrical uncertainties on complex domains, with application to additive manufacturing and brain interface geometries", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
PhD defense: Cong Truc Nguyen
May 26, 2021
Congratulations to Cong Truc for successfully defending his PhD thesis on May 26th!
Shanshan Chu Awarded the Senol Utku Award
January 20, 2021
Shanshan Chu was awarded the Senol Utku Award (with High Distinction), which promotes early writing of research articles among graduate students by selecting the best pre-Ph.D. peer-reviewed journal papers. Congratulations Shanshan!
New Programme on Uncertainty Quantification and Stochastic Modeling of Materials (UQSMM)
January 11, 2021
Together with Dr. A. Mihai (Cardiff University) and Prof. A. Goriely (Oxford University), we will offer a 6-week programme on Uncertainty Quantification and Stochastic Modeling of Materials at the International Newton Institute (INI) for Mathematical Sciences during summer 2023.
Duke team awarded NSF NRT grant for AI and Materials
August 21, 2020
Our Duke team, led by Cate Brinson, was awarded a National Science Foundation (NSF) Research Traineeship (NRT) grant to offer a PhD level certificate program, which combines Articificial Intelligence and Materials Science.
PhD Defense: Darith-Anthony Hun
May 28, 2020
Congratulations to Darith for successfully defending his PhD thesis on May 28th!
Our paper, entitled "A Phase-Field Model of Fracture with Frictionless Contact and Random Fracture Properties: Application to Thin-Film Fracture and Soil Dessication", accepted for publication in CMAME.
April 29, 2020
Our manuscript, entitled "A Phase-Field Model of Fracture with Frictionless Contact and Random Fracture Properties: Application to Thin-Film Fracture and Soil Dessication", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
New Book: Uncertainty Quantification in Multiscale Materials Modeling
March 12, 2020
The book Uncertainty Quantification in Multiscale Materials Modeling (Elsevier), edited by Prof. Yan Wang and Prof. David McDowell (Georgia Tech), will be released on March, 23rd (2020). Dr.
Prof. Johann Guilleminot wins NSF CAREER Award (ENG/CMMI/MoMS)
February 18, 2020
The grant supports “early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization” (NSF).
Our paper, entitled "Data-Driven Enhancement of Fracture Paths in Random Composites", accepted for publication in MRC.
November 7, 2019
Our manuscript, entitled "Data-Driven Enhancement of Fracture Paths in Random Composites", has been accepted for publication in Mechanics... read more
Our paper, entitled "Modeling uncertainties in molecular dynamics simulations using a stochastic reduced-order basis", accepted for publication in CMAME.
May 17, 2019
Our manuscript, entitled "Modeling uncertainties in molecular dynamics simulations using a stochastic reduced-order basis", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
Our paper, entitled "Stochastic Multi-Scale Modeling of Crack Propagation in Random Heterogeneous Media", accepted for publication in IJNME.
May 1, 2019
Our manuscript, entitled "Stochastic Multi-Scale Modeling of Crack Propagation in Random Heterogeneous Media", has been accepted for publication in the International Journal for Numerical Methods in Engineering.
ECCOMAS best PhD award 2018 Awarded to Brian Staber
April 28, 2019
Brian Staber was awarded the ECCOMAS best PhD award 2018 for his PhD project, entitled "Stochastic analysis, simulation and identification of hyperelastic constitutive equations" (supported in part by NSF grant CMMI-1726403). Congratulations to him!
CSMA Prize Awarded to Brian Staber
February 21, 2019
Brian Staber was awarded the CSMA Prize for his PhD project, entitled "Stochastic analysis, simulation and identification of hyperelastic constitutive equations" (supported in part by NSF grant CMMI-1726403). Congratulations to him!
Our research note, entitled Topology optimization under topologically dependent material uncertainties, accepted for publication in SAMO
February 21, 2019
Our manuscript, entitled "Topology optimization under topologically dependent material uncertainties", has been accepted for publication in Structural and Multidisciplinary Optimization.
Our book chapter accepted for publication in Uncertainty Quantification in Multiscale Materials Modeling (Elsevier)
February 8, 2019
Our book chapter, entitled Modeling non-Gaussian random fields of material properties in multiscale mechanics of materials, has been accepted for publication in the book Uncertainty Quantification in Multiscale Materials Modeling (Elsevier).
Our paper, entitled Stochastic multiscale modeling with random fields of material properties defined on nonconvex domains, accepted for publication in MRC
January 31, 2019
Our paper, entitled Stochastic modeling and identification of an hyperelastic constitutive model for laminated composites, has been accepted for publication in Mechanics Research Communications.
Our paper, entitled Stochastic modeling and identification of an hyperelastic constitutive model for laminated composites, accepted for publication in CMAME
December 23, 2018
Our paper, entitled Stochastic modeling and identification of an hyperelastic constitutive model for laminated composites, has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
Our Research Letter Accepted for Publication in AAuA (2018)
November 8, 2018
Our research letter, "On the Construction of Multiscale Surrogates for Design Optimization of Acoustical Materials", has been accepted for publication in Acta Acustica united with Acustica.
Our Paper Accepted for Publication in CMAME (2018, funded by NSF)
November 8, 2018
Our paper, "A Random Field Model for Anisotropic Strain Energy Functions and its Application for Uncertainty Quantification in Vascular Mechanics", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
Our Paper Accepted for Publication in CMAME (2018, 2)
November 8, 2018
Our paper, "On the robustness of variational multiscale error estimators for the forward propagation of uncertainty", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering (coauthored with O. Colomés and G. Scovazzi).