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Dr. Bouklas' research focuses in the fields of theoretical and computational solid mechanics. Developing theoretical frameworks and advanced computational methods, he aims to improve the fundamental understanding of materials and structures, and enhance the predictive capabilities in relevant engineering applications. He is interested in the fundamental study of soft materials, active materials and biomaterials, fracture and instabilities, as well as multiscale modeling in coupled multi-physical systems. A recent thrust in his lab targets machine learning (ML)-enabled constitutive models and solutions of PDEs using a combination of data and guiding physical principles.
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论文共 71 篇作者统计合作学者相似作者
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arxiv(2024)
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Junsung Lee, Karan Jha,Christine E Harper,Wenyao Zhang, Malissa Ramsukh,Nikolaos Bouklas,Tobias Dörr,Peng Chen, Christopher J Hernandez
ACS biomaterials science & engineering (2024)
Computer Methods in Applied Mechanics and Engineering (2024): 116973
Junsung Lee, Karan Jha,Christine E. Harper,Wenyao Zhang, Malissa Ramsukh,Nikolaos Bouklas,Tobias Dörr,Peng Chen, Christopher J. Hernandez
Byumsu Kim, Terri-Ann N. Kelly, Hyung Jin Jung, Olivia S. Beane, Sarindr Bhumiratana,Nikolaos Bouklas,Itai Cohen,Lawrence J. Bonassar
arxiv(2023)
European Journal of Mechanics - A/Solids (2023): 104925-104925
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