Krishna C. Garikipati

According to our database, Krishna C. Garikipati authored at least 29 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

High order schemes for gradient flow with respect to a metric.

Saem Han, Selim Esedoglu, Krishna C. Garikipati

J. Comput. Phys., December, 2023

Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment.

Haizhou Yang, C. Alberto Figueroa, Krishna C. Garikipati

CoRR, 2023

FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning - A Physics-Constrained Approach to Markov Decision Processes.

Chengyang Huang, Siddhartha Srivastava, Xun Huan, Krishna C. Garikipati

CoRR, 2023

Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2.

Gregory H. Teichert, Sambit Das, Mostafa Faghih Shojaei, Jamie Holber, Timothy Mueller, Linda Hung, Vikram Gavini, Krishna C. Garikipati

CoRR, 2023

Label-free learning of elliptic partial differential equation solvers with generalizability across boundary value problems.

Xiaoxuan Zhang, Krishna C. Garikipati

CoRR, 2023

2022

A fourth-order phase-field fracture model: Formulation and numerical solution using a continuous/discontinuous Galerkin method.

Lampros Svolos, Hashem M. Mourad, Gianmarco Manzini, Krishna C. Garikipati

CoRR, 2022

Numerical analysis of non-local calculus on finite weighted graphs, with application to reduced-order modelling of dynamical systems.

Matthew Duschenes, Siddhartha Srivastava, Krishna C. Garikipati

CoRR, 2022

Machine Learning in Heterogeneous Porous Materials.

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

CoRR, 2022

A heteroencoder architecture for prediction of failure locations in porous metals using variational inference.

Wyatt Bridgman, Xiaoxuan Zhang, Gregory H. Teichert, Mohammad Khalil, Krishna C. Garikipati, Reese E. Jones

CoRR, 2022

2021

CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation.

Christopher J. Arthurs, Rostislav Khlebnikov, Alex Melville, Marija Marcan, Alberto Gómez, Desmond Dillon-Murphy, Federica Cuomo, Miguel Silva Vieira, Jonas Schollenberger, Sabrina R. Lynch, Christopher Tossas-Betancourt, Kritika Iyer, Sara Hopper, Elizabeth Livingston, Pouya Youssefi, Alia Noorani, Sabrina Ben Ahmed, Foeke J. H. Nauta, Theodorus M. J. van Bakel, Yunus Ahmed, Petrus A. J. van Bakel, Jonathan P. Mynard, Paolo Di Achille, Hamid Gharahi, Kevin D. Lau, Vasilina Filonova, Miquel Aguirre, Nitesh Nama, Nan Xiao, Seungik Baek, Krishna C. Garikipati, Onkar Sahni, David Nordsletten, C. Alberto Figueroa

PLoS Comput. Biol., 2021

High order, semi-implicit, energy stable schemes for gradient flows.

Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati

J. Comput. Phys., 2021

mechanoChemML: A software library for machine learning in computational materials physics.

X. Zhang, Gregory H. Teichert, Z. Wang, Matthew Duschenes, Siddhartha Srivastava, A. Sunderarajan, E. Livingston, Krishna C. Garikipati

CoRR, 2021

Reduced order models from computed states of physical systems using non-local calculus on finite weighted graphs.

Matthew Duschenes, Krishna C. Garikipati

CoRR, 2021

Li_xCoO₂ phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories.

Gregory H. Teichert, Sambit Das, Muratahan Aykol, Chirranjeevi Balaji Gopal, Vikram Gavini, Krishna C. Garikipati

CoRR, 2021

Bayesian neural networks for weak solution of PDEs with uncertainty quantification.

Xiaoxuan Zhang, Krishna C. Garikipati

CoRR, 2021

2020

Variational Extrapolation of Implicit Schemes for General Gradient Flows.

Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati

SIAM J. Numer. Anal., 2020

Second order threshold dynamics schemes for two phase motion by mean curvature.

Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati

J. Comput. Phys., 2020

Active learning workflows and integrable deep neural networks for representing the free energy functions of alloy.

Gregory H. Teichert, Anirudh Natarajan, Anton Van der Ven, Krishna C. Garikipati

CoRR, 2020

Identification of the partial differential equations governing microstructure evolution in materials: Inference over incomplete, sparse and spatially non-overlapping data.

Zhenlin Wang, Xun Huan, Krishna C. Garikipati

CoRR, 2020

Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures.

Xiaoxuan Zhang, Krishna C. Garikipati

CoRR, 2020

2019

On the Voronoi Implicit Interface Method.

Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati

SIAM J. Sci. Comput., 2019

A computational framework for the morpho-elastic development of molluskan shells by surface and volume growth.

Shiva Rudraraju, Derek E. Moulton, Régis Chirat, Alain Goriely, Krishna C. Garikipati

PLoS Comput. Biol., 2019

Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.

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

npj Digit. Medicine, 2019

2017

Scalable Real-time Transport of Baseband Traffic.

Krishna C. Garikipati, Kang G. Shin

CoRR, 2017

2016

RT-OPEX: Flexible Scheduling for Cloud-RAN Processing.

Krishna C. Garikipati, Kassem Fawaz, Kang G. Shin

Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies, 2016

2014

Improving transport design for WARP SDR deployments.

Krishna C. Garikipati, Kang G. Shin

Proceedings of the 2014 ACM workshop on Software radio implementation forum, 2014

Measurement-based transmission schemes for network MIMO.

Krishna C. Garikipati, Kang G. Shin

Proceedings of the Fifteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2014

2013

Distributed association control in shared wireless networks.

Krishna C. Garikipati, Kang G. Shin

Proceedings of the 10th Annual IEEE International Conference on Sensing, 2013

2006

A discontinuous Galerkin method for the Cahn-Hilliard equation.

Garth N. Wells, Ellen Kuhl, Krishna C. Garikipati

J. Comput. Phys., 2006