Urmăriți
Conlain Kelly
Conlain Kelly
Adresă de e-mail confirmată pe gatech.edu
Titlu
Citat de
Citat de
Anul
Billion degree of freedom granular dynamics simulation on commodity hardware via heterogeneous data-type representation
C Kelly, N Olsen, D Negrut
Multibody System Dynamics 50, 355-379, 2020
312020
Local–global decompositions for conditional microstructure generation
AE Robertson, C Kelly, M Buzzy, SR Kalidindi
Acta Materialia 253, 118966, 2023
132023
Inverse stochastic microstructure design
AP Generale, AE Robertson, C Kelly, SR Kalidindi
Acta Materialia 271, 119877, 2024
112024
Application of a Chained-ANN for Learning the Process–Structure Mapping in Mg2SixSn1−x Spinodal Decomposition
GH Harrington, C Kelly, V Attari, R Arroyave, SR Kalidindi
Integrating Materials and Manufacturing Innovation 11 (3), 433-449, 2022
92022
Recurrent localization networks applied to the Lippmann-Schwinger equation
C Kelly, SR Kalidindi
Computational Materials Science 192, 110356, 2021
82021
A Bayesian Approach to Designing Microstructures and Processing Pathways for Tailored Material Properties
AP Generale, C Kelly, G Harrington, AE Robertson, M Buzzy, S Kalidindi
AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023
62023
Multibody dynamics versus fluid dynamics: two perspectives on the dynamics of granular flows
M Rakhsha, C Kelly, N Olsen, R Serban, D Negrut
Journal of Computational and Nonlinear Dynamics 15 (9), 091009, 2020
52020
MICRO2D: A Large, Statistically Diverse, Heterogeneous Microstructure Dataset
AE Robertson, AP Generale, C Kelly, MO Buzzy, SR Kalidindi
Integrating Materials and Manufacturing Innovation 13 (1), 120-154, 2024
32024
Billion Degree-of-Freedom Granular Dynamics Simulation on Commodity Hardware
C Kelly, N Olsen, D Negrut
ASME 2019 International Design Engineering Technical Conferences and …, 2019
12019
Thermodynamically-Informed Iterative Neural Operators for Heterogeneous Elastic Localization
C Kelly, SR Kalidindi
arXiv preprint arXiv:2411.06529, 2024
2024
Multibody Dynamics vs. Fluid Dynamics: Similarities and Differences
M Rakhsha, C Kelly, N Olsen, R Serban, D Negrut
International Design Engineering Technical Conferences and Computers and …, 2019
2019
Technical Report TR–2017–09
C Kelly, R Serban
2018
Comparing granular dynamics vs. fluid dynamics via large DOF-count parallel simulation on the GPU
M Rakhsha, C Kelly, N Olsen, L Yang, R Serban, D Negrut
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–13