Abhiram Anand Thiruthummal

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All published works

Action	Title	Year	Authors
+	Detecting Turbulent Patterns in Particulate Pipe Flow by Streak Angle Visualization	2025	Rishav Raj Abhiram Anand Thiruthummal Alban Pothérat
+ PDF Chat	Detecting Turbulent Patterns in Particulate Pipe Flow by Streak Angle Visualization	2025	Rishav Raj Abhiram Anand Thiruthummal Alban Pothérat
+	Extremization to fine tune physics informed neural networks for solving boundary value problems	2024	Abhiram Anand Thiruthummal S. Shelyag Eun‐jin Kim
+ PDF Chat	Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problems	2024	Abhiram Anand Thiruthummal S. Shelyag Eun‐jin Kim
+ PDF Chat	Information Geometry of Evolution of Neural Network Parameters While Training	2024	Abhiram Anand Thiruthummal Eun‐jin Kim S. Shelyag
+ PDF Chat	Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problems	2023	Abhiram Anand Thiruthummal S. Shelyag Eun‐jin Kim
+ PDF Chat	Information Geometry of Evolution of Neural Network Parameters While Training	2023	Abhiram Anand Thiruthummal Eun‐jin Kim S. Shelyag

Common Coauthors

Coauthor	Papers Together
Sergiy Shelyag	5
Eun‐jin Kim	5
Alban Pothérat	2
Rishav Raj	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	3
+ PDF Chat	A derivative-free method for solving elliptic partial differential equations with deep neural networks	2020	Jihun Han Mihai Nica Adam R. Stinchcombe	2
+	Exponential expressivity in deep neural networks through transient chaos	2016	Ben Poole Subhaneil Lahiri Maithra Raghu Jascha Sohl‐Dickstein Surya Ganguli	2
+	Automatic Selection of Methods for Solving Stiff and Nonstiff Systems of Ordinary Differential Equations	1983	Linda Petzold	2
+	Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations	2017	Maziar Raissi Paris Perdikaris George Em Karniadakis	2
+ PDF Chat	Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks	2020	Ameya D. Jagtap Kenji Kawaguchi George Em Karniadakis	2
+ PDF Chat	A method for representing periodic functions and enforcing exactly periodic boundary conditions with deep neural networks	2021	Suchuan Dong Naxian Ni	2
+	Universal Approximation with Deep Narrow Networks	2019	Patrick Kidger Terry Lyons	2
+ PDF Chat	Bijective Mapping Analysis to Extend the Theory of Functional Connections to Non-Rectangular 2-Dimensional Domains	2020	Daniele Mortari David Arnas	2
+ PDF Chat	Multi-Scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains	2020	Bo Wang Wenzhong Zhang Wei Cai	2
+	The MATLAB ODE Suite	1997	L. F. Shampine Mark W. Reichelt	2
+ PDF Chat	A survey of several finite difference methods for systems of nonlinear hyperbolic conservation laws	1978	Gary A. Sod	2
+ PDF Chat	Derivative-free optimization methods	2019	Jeffrey Larson Matt Menickelly Stefan M. Wild	2
+	A family of embedded Runge-Kutta formulae	1980	John R. Dormand P.J. Prince	2
+ PDF Chat	Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations	2021	Suchuan Dong Zongwei Li	2
+ PDF Chat	Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation	2021	Qin Lou Xuhui Meng George Em Karniadakis	2
+	Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks	2021	N. Sukumar Ankit Srivastava	2
+	Physics-informed neural networks (PINNs) for fluid mechanics: a review	2021	Shengze Cai Zhiping Mao Zhicheng Wang Minglang Yin George Em Karniadakis	2
+ PDF Chat	A review of automatic differentiation and its efficient implementation	2019	Charles C. Margossian	2
+ PDF Chat	The Multivariate Theory of Connections	2019	Daniele Mortari Carl Leake	2
+	Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks	2022	Raghav Gnanasambandam Bo Shen Jihoon Chung Xubo Yue Zhenyu Kong	2
+ PDF Chat	A hybrid physics-informed neural network for nonlinear partial differential equation	2022	Chunyue Lv Lei Wang Chenming Xie	2
+ PDF Chat	Physics Informed Extreme Learning Machine (PIELM)–A rapid method for the numerical solution of partial differential equations	2019	Vikas Dwivedi B. Srinivasan	2
+	ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization	2019	Xiangyi Chen Sijia Liu Kaidi Xu Xingguo Li Xue Lin Mingyi Hong David Cox	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	1
+	ADADELTA: An Adaptive Learning Rate Method	2012	Matthew D. Zeiler	1
+ PDF Chat	Numerical Differentiation of Noisy, Nonsmooth Data	2011	Rick Chartrand	1
+ PDF Chat	Scaling of the Turbulence Transition Threshold in a Pipe	2003	Björn Hof Anne Juel T. Mullin	1
+	On Choosing and Bounding Probability Metrics	2002	Alison L. Gibbs Francis Edward Su	1
+ PDF Chat	On the transition to turbulence of wall-bounded flows in general, and plane Couette flow in particular	2014	Paul Manneville	1
+ PDF Chat	Far-from-equilibrium measurements of thermodynamic length	2009	Edward H. Feng Gavin E. Crooks	1
+ PDF Chat	Measuring Thermodynamic Length	2007	Gavin E. Crooks	1
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	1
+	Oversmoothed Nonparametric Density Estimates	1985	George R. Terrell David W. Scott	1
+ PDF Chat	Transition to Turbulence in Particulate Pipe Flow	2003	Jean-Philippe Matas Jeffrey F. Morris Élisabeth Guazzelli	1
+	Divergence measures for statistical data processing—An annotated bibliography	2012	Michèle Basseville	1
+ PDF Chat	The geometry of optimal transportation	1996	Wilfrid Gangbo Robert J. McCann	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+	On the Convergence of Adam and Beyond	2019	Sashank J. Reddi Satyen Kale Sanjiv Kumar	1
+ PDF Chat	Transition to Turbulence in Particle Laden Flows	2019	Nishchal Agrawal George H. Choueiri Björn Hof	1
+ PDF Chat	Kernel density estimation and its application	2018	Stanisław Węglarczyk	1
+ PDF Chat	Information Length as a Useful Index to Understand Variability in the Global Circulation	2020	Eun‐jin Kim James Heseltine Hanli Liu	1
+ PDF Chat	Time-dependent probability density functions and information geometry of the low-to-high confinement transition in fusion plasma	2020	Eun‐jin Kim Rainer Hollerbach	1
+ PDF Chat	The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations	2020	Carl Leake Hunter Johnston Daniele Mortari	1
+ PDF Chat	The critical point of the transition to turbulence in pipe flow	2018	Mukund Vasudevan Björn Hof	1
+ PDF Chat	Simultaneous Eulerian–Lagrangian velocity measurements of particulate pipe flow in transitional regime	2020	Sanjay Singh Alban Pothérat Chris C. T. Pringle I. Bates Martin Holdsworth	1
+ PDF Chat	Wootters? distance revisited: a new distinguishability criterium	2005	Ana P. Majtey Pedro W. Lamberti María T. Martín A. Plastino	1
+	Discontinuity Computing with Physics-Informed Neural Network	2022	Li Liu	1
+ PDF Chat	Onset of turbulence in particle-laden pipe flows	2022	Willian Hogendoorn Bidhan Chandra Christian Poelma	1