Theo dõi
Craig M. Hamel
Craig M. Hamel
Senior Member of the Technical Staff - Sandia National Laboratories
Email được xác minh tại sandia.gov
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Advances in 4D printing: materials and applications
X Kuang, DJ Roach, J Wu, CM Hamel, Z Ding, T Wang, ML Dunn, HJ Qi
Advanced Functional Materials 29 (2), 1805290, 2019
9952019
3D printing of auxetic metamaterials with digitally reprogrammable shape
M Lei, W Hong, Z Zhao, C Hamel, M Chen, H Lu, HJ Qi
ACS applied materials & interfaces 11 (25), 22768-22776, 2019
2192019
Integrating digital light processing with direct ink writing for hybrid 3D printing of functional structures and devices
X Peng, X Kuang, DJ Roach, Y Wang, CM Hamel, C Lu, HJ Qi
Additive Manufacturing 40, 101911, 2021
2112021
Evolution of material properties during free radical photopolymerization
J Wu, Z Zhao, CM Hamel, X Mu, X Kuang, Z Guo, HJ Qi
Journal of the Mechanics and Physics of Solids 112, 25-49, 2018
2102018
The m4 3D printer: A multi-material multi-method additive manufacturing platform for future 3D printed structures
DJ Roach, CM Hamel, CK Dunn, MV Johnson, X Kuang, HJ Qi
Additive Manufacturing 29, 100819, 2019
1982019
Machine-learning based design of active composite structures for 4D printing
CM Hamel, DJ Roach, KN Long, F Demoly, ML Dunn, HJ Qi
Smart Materials and Structures 28 (6), 065005, 2019
1502019
Evolutionary algorithm‐guided voxel‐encoding printing of functional hard‐magnetic soft active materials
S Wu, CM Hamel, Q Ze, F Yang, HJ Qi, R Zhao
Advanced Intelligent Systems 2 (8), 2000060, 2020
1402020
Reversible shape change structures by grayscale pattern 4D printing
J Wu, Z Zhao, X Kuang, CM Hamel, D Fang, HJ Qi
Multifunctional Materials 1 (1), 015002, 2018
1142018
3D printed cellulose nanocrystal composites through digital light processing
VCF Li, X Kuang, A Mulyadi, CM Hamel, Y Deng, HJ Qi
Cellulose 26, 3973-3985, 2019
922019
Cellulose nanocrystals support material for 3D printing complexly shaped structures via multi-materials-multi-methods printing
VCF Li, X Kuang, CM Hamel, D Roach, Y Deng, HJ Qi
Additive Manufacturing 28, 14-22, 2019
742019
Design for the reduction of volume shrinkage-induced distortion in digital light processing 3D printing
Q Zhang, S Weng, CM Hamel, SM Montgomery, J Wu, X Kuang, K Zhou, ...
Extreme Mechanics Letters 48, 101403, 2021
612021
A reaction–diffusion model for grayscale digital light processing 3D printing
SM Montgomery, CM Hamel, J Skovran, HJ Qi
Extreme Mechanics Letters 53, 101714, 2022
522022
Reaction-diffusion model for thermosetting polymer dissolution through exchange reactions assisted by small-molecule solvents
CM Hamel, X Kuang, K Chen, HJ Qi
Macromolecules 52 (10), 3636-3645, 2019
492019
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
482023
Utilizing computer vision and artificial intelligence algorithms to predict and design the mechanical compression response of direct ink write 3D printed foam replacement …
DJ Roach, A Rohskopf, CM Hamel, WD Reinholtz, R Bernstein, HJ Qi, ...
Additive Manufacturing 41, 101950, 2021
462021
3D printed two-dimensional periodic structures with tailored in-plane dynamic responses and fracture behaviors
M Lei, CM Hamel, C Yuan, H Lu, HJ Qi
Composites Science and Technology 159, 189-198, 2018
442018
4D printing of glass fiber-regulated shape shifting structures with high stiffness
S Weng, X Kuang, Q Zhang, CM Hamel, DJ Roach, N Hu, H Jerry Qi
ACS Applied Materials & Interfaces 13 (11), 12797-12804, 2020
432020
Perspective: Machine learning in experimental solid mechanics
NR Brodnik, C Muir, N Tulshibagwale, J Rossin, MP Echlin, CM Hamel, ...
Journal of the Mechanics and Physics of Solids 173, 105231, 2023
412023
Machine learning constitutive models of elastomeric foams
A Frankel, CM Hamel, D Bolintineanu, K Long, S Kramer
Computer Methods in Applied Mechanics and Engineering 391, 114492, 2022
352022
Calibrating constitutive models with full‐field data via physics informed neural networks
CM Hamel, KN Long, SLB Kramer
Strain 59 (2), e12431, 2023
332023
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