Krishna C. Garikipati

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 26

Top Topics

Partial Differential Equations

Top Venues

J. Comput. Phys.

SIAM J. Numer. Anal.

Publications

Xiaoxuan Zhang, Krishna C. Garikipati
Label-free learning of elliptic partial differential equation solvers with generalizability across boundary value problems. CoRR (2023)
Saem Han, Selim Esedoglu, Krishna C. Garikipati
High order schemes for gradient flow with respect to a metric. J. Comput. Phys. 494 (2023)
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 (2023)
Gregory H. Teichert, S. Das, M. Faghih Shojaei, J. Holber, T. Mueller, L. 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 (2023)
Haizhou Yang, C. Alberto Figueroa, Krishna C. Garikipati
Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment. CoRR (2023)
Wyatt Bridgman, Xiaoxuan Zhang, Gregory H. Teichert, Mohammad Khalil, Krishna C. Garikipati, Reese Jones
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference. CoRR (2022)
Saem Han, Selim Esedoglu, Krishna C. Garikipati
High Order Schemes for Gradient Flow with Respect to a Metric. CoRR (2022)
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 (2022)
Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
High order, semi-implicit, energy stable schemes for gradient flows. J. Comput. Phys. 447 (2021)
Matthew Duschenes, Krishna C. Garikipati
Reduced order models from computed states of physical systems using non-local calculus on finite weighted graphs. CoRR (2021)
X. Zhang, Gregory H. Teichert, Z. Wang, Matthew Duschenes, S. Srivastava, A. Sunderarajan, E. Livingston, Krishna C. Garikipati
mechanoChemML: A software library for machine learning in computational materials physics. CoRR (2021)
Gregory H. Teichert, Sambit Das, Muratahan Aykol, Chirranjeevi Balaji Gopal, Vikram Gavini, Krishna C. Garikipati
phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories. CoRR (2021)
Xiaoxuan Zhang, Krishna C. Garikipati
Bayesian neural networks for weak solution of PDEs with uncertainty quantification. CoRR (2021)
Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
Variational Extrapolation of Implicit Schemes for General Gradient Flows. SIAM J. Numer. Anal. 58 (5) (2020)
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 (2020)
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 (2020)
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 (2020)
Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
High order, semi-implicit, energy stable schemes for gradient flows. CoRR (2020)
Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
Second order threshold dynamics schemes for two phase motion by mean curvature. J. Comput. Phys. 410 (2020)
Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
On the Voronoi Implicit Interface Method. SIAM J. Sci. Comput. 41 (4) (2019)
Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
Variational Extrapolation of Implicit Schemes for General Gradient Flows. CoRR (2019)
Mark S. Alber, Adrian Buganza Tepole, William R. Cannon, Suvranu De, Salvador Dura-Bernal, Krishna C. Garikipati, George E. Karniadakis, William W. Lytton, Paris Perdikaris, Linda R. Petzold, Ellen Kuhl
Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digit. Medicine 2 (2019)
Shiva Rudraraju, Derek E. Moulton, Régis Chirat, Alain Goriely, Krishna C. Garikipati
A computational framework for the morpho-elastic development of molluskan shells by surface and volume growth. PLoS Comput. Biol. 15 (7) (2019)
Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
Second Order Threshold Dynamics Schemes for Two Phase Motion by Mean Curvature. CoRR (2019)
Krishna C. Garikipati, Kang G. Shin
Scalable Real-time Transport of Baseband Traffic. CoRR (2017)
Krishna C. Garikipati, Kassem Fawaz, Kang G. Shin
RT-OPEX: Flexible Scheduling for Cloud-RAN Processing. CoNEXT (2016)
Krishna C. Garikipati, Kang G. Shin
Improving transport design for WARP SDR deployments. SRIF@SIGCOMM (2014)
Krishna C. Garikipati, Kang G. Shin
Measurement-based transmission schemes for network MIMO. MobiHoc (2014)
Krishna C. Garikipati, Kang G. Shin
Distributed association control in shared wireless networks. SECON (2013)
Garth N. Wells, Ellen Kuhl, Krishna C. Garikipati
A discontinuous Galerkin method for the Cahn-Hilliard equation. J. Comput. Phys. 218 (2) (2006)