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Krishna C. Garikipati
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2020 – today
- 2023
- [j9]Saem Han, Selim Esedoglu, Krishna C. Garikipati:
High order schemes for gradient flow with respect to a metric. J. Comput. Phys. 494: 112516 (2023) - [i20]Xiaoxuan Zhang, Krishna C. Garikipati:
Label-free learning of elliptic partial differential equation solvers with generalizability across boundary value problems. CoRR abs/2301.13165 (2023) - [i19]Gregory H. Teichert, Sambit Das, Mostafa Faghih Shojaei, Jamie Holber, Timothy Mueller, Linda Hung, Vikram Gavini, Krishna C. Garikipati:
Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2. CoRR abs/2302.08991 (2023) - [i18]Chengyang Huang, Siddhartha Srivastava, Xun Huan, Krishna C. Garikipati:
FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning - A Physics-Constrained Approach to Markov Decision Processes. CoRR abs/2306.10407 (2023) - [i17]Haizhou Yang, C. Alberto Figueroa, Krishna C. Garikipati:
Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment. CoRR abs/2311.11397 (2023) - 2022
- [i16]Wyatt Bridgman, Xiaoxuan Zhang, Gregory H. Teichert, Mohammad Khalil, Krishna C. Garikipati, Reese E. Jones:
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference. CoRR abs/2202.00078 (2022) - [i15]Marta D'Elia, Hang Deng, Cedric G. Fraces, Krishna C. Garikipati, Lori Graham-Brady, Amanda A. Howard, George Em Karniadakis, Vahid Keshavarzzadeh, Robert M. Kirby, J. Nathan Kutz, Chunhui Li
, Xing Liu, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki:
Machine Learning in Heterogeneous Porous Materials. CoRR abs/2202.04137 (2022) - [i14]Matthew Duschenes, Siddhartha Srivastava, Krishna C. Garikipati:
Numerical analysis of non-local calculus on finite weighted graphs, with application to reduced-order modelling of dynamical systems. CoRR abs/2205.02206 (2022) - [i13]Lampros Svolos, Hashem M. Mourad, Gianmarco Manzini, Krishna C. Garikipati:
A fourth-order phase-field fracture model: Formulation and numerical solution using a continuous/discontinuous Galerkin method. CoRR abs/2205.06815 (2022) - [i12]Saem Han, Selim Esedoglu, Krishna C. Garikipati:
High Order Schemes for Gradient Flow with Respect to a Metric. CoRR abs/2211.07011 (2022) - 2021
- [j8]Alexander Zaitzeff
High order, semi-implicit, energy stable schemes for gradient flows. J. Comput. Phys. 447: 110688 (2021) - [j7]Christopher J. Arthurs
CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation. PLoS Comput. Biol. 17(5) (2021) - [i11]Xiaoxuan Zhang, Krishna C. Garikipati:
Bayesian neural networks for weak solution of PDEs with uncertainty quantification. CoRR abs/2101.04879 (2021) - [i10]Gregory H. Teichert, Sambit Das, Muratahan Aykol, Chirranjeevi Balaji Gopal, Vikram Gavini, Krishna C. Garikipati:
LixCoO2 phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories. CoRR abs/2104.08318 (2021) - [i9]Matthew Duschenes
Reduced order models from computed states of physical systems using non-local calculus on finite weighted graphs. CoRR abs/2105.01740 (2021) - [i8]X. Zhang, Gregory H. Teichert, Z. Wang, Matthew Duschenes, Siddhartha Srivastava, A. Sunderarajan, E. Livingston, Krishna C. Garikipati:
mechanoChemML: A software library for machine learning in computational materials physics. CoRR abs/2112.04960 (2021) - 2020
- [j6]Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati:
Second order threshold dynamics schemes for two phase motion by mean curvature. J. Comput. Phys. 410: 109404 (2020) - [j5]Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati:
Variational Extrapolation of Implicit Schemes for General Gradient Flows. SIAM J. Numer. Anal. 58(5): 2799-2817 (2020) - [i7]Xiaoxuan Zhang, Krishna C. Garikipati:
Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures. CoRR abs/2001.01575 (2020) - [i6]Zhenlin Wang, Xun Huan, Krishna C. Garikipati:
Identification of the partial differential equations governing microstructure evolution in materials: Inference over incomplete, sparse and spatially non-overlapping data. CoRR abs/2001.04816 (2020) - [i5]Gregory H. Teichert, Anirudh Natarajan, Anton Van der Ven, Krishna C. Garikipati:
Active learning workflows and integrable deep neural networks for representing the free energy functions of alloy. CoRR abs/2002.02305 (2020) - [i4]Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati:
High order, semi-implicit, energy stable schemes for gradient flows. CoRR abs/2007.13572 (2020)
2010 – 2019
- 2019
- [j4]Mark S. Alber, Adrian Buganza Tepole
Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digit. Medicine 2 (2019) - [j3]Shiva Rudraraju
A computational framework for the morpho-elastic development of molluskan shells by surface and volume growth. PLoS Comput. Biol. 15(7) (2019) - [j2]Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati:
On the Voronoi Implicit Interface Method. SIAM J. Sci. Comput. 41(4): A2407-A2429 (2019) - [i3]Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati:
Variational Extrapolation of Implicit Schemes for General Gradient Flows. CoRR abs/1908.10246 (2019) - [i2]Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati:
Second Order Threshold Dynamics Schemes for Two Phase Motion by Mean Curvature. CoRR abs/1911.05110 (2019) - 2017
- [i1]Krishna C. Garikipati, Kang G. Shin:
Scalable Real-time Transport of Baseband Traffic. CoRR abs/1706.01160 (2017) - 2016
- [c4]Krishna C. Garikipati, Kassem Fawaz, Kang G. Shin:
RT-OPEX: Flexible Scheduling for Cloud-RAN Processing. CoNEXT 2016: 267-280 - 2014
- [c3]Krishna C. Garikipati, Kang G. Shin:
Measurement-based transmission schemes for network MIMO. MobiHoc 2014: 387-396 - [c2]Krishna C. Garikipati, Kang G. Shin:
Improving transport design for WARP SDR deployments. SRIF@SIGCOMM 2014: 1-6 - 2013
- [c1]Krishna C. Garikipati, Kang G. Shin:
Distributed association control in shared wireless networks. SECON 2013: 362-370
2000 – 2009
- 2006
- [j1]Garth N. Wells
A discontinuous Galerkin method for the Cahn-Hilliard equation. J. Comput. Phys. 218(2): 860-877 (2006)
Coauthor Index
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