News
PhD Defense
November 2, 2022
Congratulations to Shanshan Chu for successfully defending her PhD thesis!
Our paper, focused on Riemannian representations of model uncertainties, accepted for publication in CMAME
October 4, 2022
Our manuscript, entitled "A Riemannian Stochastic Representation for Quantifying Model Uncertainties in Molecular Dynamics Simulations", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
Our paper, focused on the rectification of NN for hyperelastic constitutive models, accepted for publication in MRC
September 14, 2022
Our manuscript, entitled "Polyconvex Neural Networks for Hyperelastic Constitutive Models: A Rectification Approach", has been accepted for publication in Mechanics Research Communications.
Prof. Guilleminot serving as AE for JEM
July 4, 2022
Prof. J. Guilleminot joins the Board of Associate Editors of the Journal of Engineering Mechanics.
Hao Zhang wins Senol Utku Award
May 19, 2022
Hao Zhang 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 Hao!
Our collaborative paper, focused on multiscale analysis for polydisperse solid foams, accepted for publication in IJSS
May 3, 2022
Our collaborative manuscript, entitled "Polydisperse Solid Foams: Multiscale Modeling and Simulations of Elasto-Acoustic Properties Including Thin Membrane Effects", has been accepted for publication in the International Journal of Solids and Structures.
Our paper, focused on learning acoustic responses based on limited experimental, accepted for publication in JASA
March 25, 2022
Our manuscript, entitled "Learning acoustic responses from experiments: A multiscale-informed transfer learning approach", has been accepted for publication in The Journal of the Acoustical Society of America.
Our paper, focused on stochastic modeling in nonlinear elasticity, accepted for publication in CMAME
March 16, 2022
Our manuscript, entitled "Spatially-Dependent Material Uncertainties in Anisotropic Nonlinear Elasticity: Stochastic Modeling, Identification, and Propagation", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
Our paper, focused on stochastic buckling analysis, accepted for publication in CMAME
February 17, 2022
Our collaborative manuscript, entitled "Stochastic analysis of geometrically imperfect thin cylindrical shells using topology-aware uncertainty models", has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
Our paper, focused on UQ for TMS simulations, accepted for publication in the Journal of Neural Engineering
January 24, 2022
Our collaborative manuscript, entitled "Uncertainty quantification for TMS simulations considering MRI segmentation errors", has been accepted for publication in the Journal of Neural Engineering.
Our paper, entitled "Permeability of polydisperse solid foams", accepted for publication in Physical Review E
January 3, 2022
Our collaborative manuscript, entitled "Permeability of polydisperse solid foams", has been accepted for publication in Physical Review E.
Our paper, focused on the experimental characterization and numerical modeling of fracture in clayey soils, accepted for publication in EFM
October 18, 2021
Our manuscript, entitled "Desiccation cracking of heterogeneous clayey soil: Experiments, modelling and simulations", has been accepted for publication in Engineering Fracture Mechanics.
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).