Nikolaos Bouklas

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Jan Niklas FuhgUT AustinAdresse e-mail validée de utexas.edu
Teeratorn KadeethumSandia National LaboratoriesAdresse e-mail validée de sandia.gov
Rui Huang （黄锐）University of Texas at AustinAdresse e-mail validée de mail.utexas.edu
Hongkyu Yoonsandia national laboratoriesAdresse e-mail validée de sandia.gov
Mahmut Selman SakarAssociate Professor of Mechanical Engineering, EPFLAdresse e-mail validée de epfl.ch
Bin LiGuangdong Technion-Israel Institute of TechnologyAdresse e-mail validée de gtiit.edu.cn
Daniel O'MalleyLos Alamos National LaboratoryAdresse e-mail validée de lanl.gov
Youngsoo ChoiResearch Scientist, LLNLAdresse e-mail validée de llnl.gov
Ida AngMikel IncAdresse e-mail validée de cornell.edu
Chad M. LandisProfessor of Aerospace Engineering and Engineering Mechanics, University of Texas at AustinAdresse e-mail validée de utexas.edu
Jaemin KimAssistant professor, Changwon National UniversityAdresse e-mail validée de changwon.ac.kr
Reese E. JonesSandia National LaboratoriesAdresse e-mail validée de sandia.gov
Jason MulderrigNRC Postdoctoral Associate, Air Force Research Laboratory, Materials and Manufacturing DirectorateAdresse e-mail validée de afrl.af.mil
Francesco BallarinDepartment of Mathematics and Physics, Università Cattolica del Sacro Cuore, Brescia, ItalyAdresse e-mail validée de unicatt.it
Erik MailandPostdoctoral researcher at IOB, BaselAdresse e-mail validée de iob.ch
Minglin MaCornell UniversityAdresse e-mail validée de cornell.edu
Hari ViswanathanSenior Scientist, Los Alamos National LaboratoryAdresse e-mail validée de lanl.gov
Amélie FauLMPS (Laboratoire de Mécanique Paris Saclay) - École Normale Supérieure Paris-SaclayAdresse e-mail validée de ens-paris-saclay.fr
Michele MarinoDepartment of Civil Engineering and Computer Science Engineering, University of Rome Tor VergataAdresse e-mail validée de ing.uniroma2.it
Chung Yuen HuiCornell UniversityAdresse e-mail validée de cornell.edu

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Nikolaos Bouklas

Associate Professor, Cornell University

Adresse e-mail validée de cornell.edu - Page d'accueil

Soft materials computational mechanics mechanobiology fracture scientific machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Swelling kinetics of polymer gels: comparison of linear and nonlinear theories N Bouklas, R Huang Soft Matter 8 (31), 8194-8203, 2012	216	2012
An adhesive hydrogel with “Load‐Sharing” effect as tissue bandages for drug and cell delivery J Chen, D Wang, LH Wang, W Liu, A Chiu, K Shariati, Q Liu, X Wang, ... Advanced Materials 32 (43), 2001628, 2020	168	2020
A nonlinear, transient finite element method for coupled solvent diffusion and large deformation of hydrogels N Bouklas, CM Landis, R Huang Journal of the Mechanics and Physics of Solids 79, 21-43, 2015	144	2015
Swell-induced surface instability of hydrogel layers with material properties varying in thickness direction Z Wu, N Bouklas, R Huang International Journal of Solids and Structures 50 (3-4), 578-587, 2013	106	2013
The mixed deep energy method for resolving concentration features in finite strain hyperelasticity JN Fuhg, N Bouklas Journal of Computational Physics 451, 110839, 2022	105	2022
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks T Kadeethum, D O’Malley, JN Fuhg, Y Choi, J Lee, HS Viswanathan, ... Nature Computational Science 1 (12), 819-829, 2021	96	2021
On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling JN Fuhg, N Bouklas Computer Methods in Applied Mechanics and Engineering 394, 114915, 2022	93	2022
Engineering transferrable microvascular meshes for subcutaneous islet transplantation W Song, A Chiu, LH Wang, RE Schwartz, B Li, N Bouklas, DT Bowers, ... Nature communications 10 (1), 4602, 2019	90	2019
Effect of Solvent Diffusion on Crack-Tip Fields and Driving Force for Fracture of Hydrogels N Bouklas, CM Landis, R Huang Journal of Applied Mechanics 82 (8), 081007 1-16, 2015	84	2015
A variational phase-field model for brittle fracture in polydisperse elastomer networks B Li, N Bouklas International Journal of Solids and Structures 182, 193-204, 2020	72	2020
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques T Kadeethum, F Ballarin, Y Choi, D O’Malley, H Yoon, N Bouklas Advances in Water Resources 160, 104098, 2022	68	2022
Local approximate Gaussian process regression for data-driven constitutive models: development and comparison with neural networks JN Fuhg, M Marino, N Bouklas Computer Methods in Applied Mechanics and Engineering 388, 114217, 2022	68	2022
Model-data-driven constitutive responses: Application to a multiscale computational framework JN Fuhg, C Böhm, N Bouklas, A Fau, P Wriggers, M Marino International Journal of Engineering Science 167, 103522, 2021	67	2021
Modular machine learning-based elastoplasticity: Generalization in the context of limited data JN Fuhg, CM Hamel, K Johnson, R Jones, N Bouklas Computer Methods in Applied Mechanics and Engineering 407, 115930, 2023	42	2023
Rate-dependent damage mechanics of polymer networks with reversible bonds SC Lamont, J Mulderrig, N Bouklas, FJ Vernerey Macromolecules 54 (23), 10801-10813, 2021	42	2021
Learning hyperelastic anisotropy from data via a tensor basis neural network JN Fuhg, N Bouklas, RE Jones Journal of the Mechanics and Physics of Solids 168, 105022, 2022	41	2022
Machine-learning convex and texture-dependent macroscopic yield from crystal plasticity simulations JN Fuhg, L van Wees, M Obstalecki, P Shade, N Bouklas, M Kasemer Materialia 23, 101446, 2022	41	2022
An adhesive and resilient hydrogel for the sealing and treatment of gastric perforation J Chen, JS Caserto, I Ang, K Shariati, J Webb, B Wang, X Wang, ... Bioactive Materials 14, 52-60, 2022	40	2022
Affine and non-affine microsphere models for chain scission in polydisperse elastomer networks J Mulderrig, B Li, N Bouklas Mechanics of Materials 160, 103857, 2021	33	2021
Continuous conditional generative adversarial networks for data-driven solutions of poroelasticity with heterogeneous material properties T Kadeethum, D O’Malley, Y Choi, HS Viswanathan, N Bouklas, H Yoon Computers & Geosciences 167, 105212, 2022	31	2022

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