Krishna C. Garikipati

39 papers A 1B 2Journal 35Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-physics model of flow from coronary angiography: Insights to microvascular function. Comput. Methods Programs Biomed. Haizhou Yang, Jiyang Zhang, Ismael Assi, Brahmajee K. Nallamothu, Krishna C. Garikipati, C. Alberto Figueroa
2025	J	`jnl`	AI-University: An LLM-based platform for instructional alignment to scientific classrooms. CoRR Mostafa Faghih Shojaei, Rahul Gulati, Benjamin A. Jasperson, Shangshang Wang, Simone Cimolato, Dangli Cao, Willie Neiswanger, Krishna C. Garikipati
2025	J	`jnl`	Assessing Coronary Microvascular Dysfunction using Angiography-based Data-driven Methods. CoRR Haizhou Yang, Jiyang Zhang, Brahmajee K. Nallamothu, Krishna C. Garikipati, C. Alberto Figueroa
2025	J	`jnl`	Inference of weak-form partial differential equations describing migration and proliferation mechanisms in wound healing experiments on cancer cells. PLoS Comput. Biol. Siddhartha Srivastava, Patrick C. Kinnunen, Zhenlin Wang, Kenneth K. Y. Ho, Brock A. Humphries, Siyi Chen, Jennifer J. Linderman, Gary D. Luker, Kathryn E. Luker, Krishna C. Garikipati
2025	J	`jnl`	Physics- and data-driven Active Learning of neural network representations for free energy functions of materials from statistical mechanics. CoRR Jamie Holber, Krishna C. Garikipati
2024	J	`jnl`	A Multi-physics Model of Flow from Coronary Angiography: Insights into Microvascular Function. CoRR Haizhou Yang, Jiyang Zhang, Ismael Assi, Brahmajee K. Nallamothu, Krishna C. Garikipati, C. Alberto Figueroa
2023	J	`jnl`	Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment. CoRR Haizhou Yang, C. Alberto Figueroa, Krishna C. Garikipati
2023	J	`jnl`	Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2. CoRR Gregory H. Teichert, Sambit Das, Mostafa Faghih Shojaei, Jamie Holber, Timothy Mueller, Linda Hung, Vikram Gavini, Krishna C. Garikipati
2023	J	`jnl`	FP-IRL: Fokker-Planck-based Inverse Reinforcement Learning - A Physics-Constrained Approach to Markov Decision Processes. CoRR Chengyang Huang, Siddhartha Srivastava, Xun Huan, Krishna C. Garikipati
2023	J	`jnl`	High order schemes for gradient flow with respect to a metric. J. Comput. Phys. Saem Han, Selim Esedoglu, Krishna C. Garikipati
2023	J	`jnl`	Label-free learning of elliptic partial differential equation solvers with generalizability across boundary value problems. CoRR Xiaoxuan Zhang, Krishna C. Garikipati
2022	J	`jnl`	A fourth-order phase-field fracture model: Formulation and numerical solution using a continuous/discontinuous Galerkin method. CoRR Lampros Svolos, Hashem M. Mourad, Gianmarco Manzini, Krishna C. Garikipati
2022	J	`jnl`	A heteroencoder architecture for prediction of failure locations in porous metals using variational inference. CoRR Wyatt Bridgman, Xiaoxuan Zhang, Gregory H. Teichert, Mohammad Khalil, Krishna C. Garikipati, Reese E. Jones
2022	J	`jnl`	High Order Schemes for Gradient Flow with Respect to a Metric. CoRR Saem Han, Selim Esedoglu, Krishna C. Garikipati
2022	J	`jnl`	Machine Learning in Heterogeneous Porous Materials. CoRR 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
2022	J	`jnl`	Numerical analysis of non-local calculus on finite weighted graphs, with application to reduced-order modelling of dynamical systems. CoRR Matthew Duschenes, Siddhartha Srivastava, Krishna C. Garikipati
2021	J	`jnl`	Bayesian neural networks for weak solution of PDEs with uncertainty quantification. CoRR Xiaoxuan Zhang, Krishna C. Garikipati
2021	J	`jnl`	CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation. PLoS Comput. Biol. 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
2021	J	`jnl`	High order, semi-implicit, energy stable schemes for gradient flows. J. Comput. Phys. Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
2021	J	`jnl`	Li CoRR Gregory H. Teichert, Sambit Das, Muratahan Aykol, Chirranjeevi Balaji Gopal, Vikram Gavini, Krishna C. Garikipati
2021	J	`jnl`	Reduced order models from computed states of physical systems using non-local calculus on finite weighted graphs. CoRR Matthew Duschenes, Krishna C. Garikipati
2021	J	`jnl`	mechanoChemML: A software library for machine learning in computational materials physics. CoRR X. Zhang, Gregory H. Teichert, Z. Wang, Matthew Duschenes, Siddhartha Srivastava, A. Sunderarajan, E. Livingston, Krishna C. Garikipati
2020	J	`jnl`	Active learning workflows and integrable deep neural networks for representing the free energy functions of alloy. CoRR Gregory H. Teichert, Anirudh Natarajan, Anton Van der Ven, Krishna C. Garikipati
2020	J	`jnl`	High order, semi-implicit, energy stable schemes for gradient flows. CoRR Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
2020	J	`jnl`	Identification of the partial differential equations governing microstructure evolution in materials: Inference over incomplete, sparse and spatially non-overlapping data. CoRR Zhenlin Wang, Xun Huan, Krishna C. Garikipati
2020	J	`jnl`	Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures. CoRR Xiaoxuan Zhang, Krishna C. Garikipati
2020	J	`jnl`	Second order threshold dynamics schemes for two phase motion by mean curvature. J. Comput. Phys. Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
2020	J	`jnl`	Variational Extrapolation of Implicit Schemes for General Gradient Flows. SIAM J. Numer. Anal. Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
2019	J	`jnl`	A computational framework for the morpho-elastic development of molluskan shells by surface and volume growth. PLoS Comput. Biol. Shiva Rudraraju, Derek E. Moulton, Régis Chirat, Alain Goriely, Krishna C. Garikipati
2019	J	`jnl`	Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digit. Medicine 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
2019	J	`jnl`	On the Voronoi Implicit Interface Method. SIAM J. Sci. Comput. Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
2019	J	`jnl`	Second Order Threshold Dynamics Schemes for Two Phase Motion by Mean Curvature. CoRR Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
2019	J	`jnl`	Variational Extrapolation of Implicit Schemes for General Gradient Flows. CoRR Alexander Zaitzeff, Selim Esedoglu, Krishna C. Garikipati
2017	J	`jnl`	Scalable Real-time Transport of Baseband Traffic. CoRR Krishna C. Garikipati, Kang G. Shin
2016	A	`conf`	RT-OPEX: Flexible Scheduling for Cloud-RAN Processing. CoNEXT Krishna C. Garikipati, Kassem Fawaz, Kang G. Shin
2014	—	`conf`	Improving transport design for WARP SDR deployments. SRIF@SIGCOMM Krishna C. Garikipati, Kang G. Shin
2014	B	`conf`	Measurement-based transmission schemes for network MIMO. MobiHoc Krishna C. Garikipati, Kang G. Shin
2013	B	`conf`	Distributed association control in shared wireless networks. SECON Krishna C. Garikipati, Kang G. Shin
2006	J	`jnl`	A discontinuous Galerkin method for the Cahn-Hilliard equation. J. Comput. Phys. Garth N. Wells, Ellen Kuhl, Krishna C. Garikipati