32 citations · 50 across the 7 of their papers we have counts for
7 papers
Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II -- Clustering Extremely High-Dimensional Grid-Based Data
Chandrika Kamath, Juliette S. Franzman
Building an accurate surrogate model for the spatio-temporal outputs of a computer simulation is a challenging task. A simple approach to improve the accuracy of the surrogate is t…
Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part I -- Analysis with a Small Sample Size
Chandrika Kamath, Juliette S. Franzman, Brian H. Daub
Computer simulations, especially of complex phenomena, can be expensive, requiring high-performance computing resources. Often, to understand a phenomenon, multiple simulations are…
Data Mining for Faster, Interpretable Solutions to Inverse Problems: A Case Study Using Additive Manufacturing
Chandrika Kamath, Juliette Franzman, Ravi Ponmalai
Solving inverse problems, where we find the input values that result in desired values of outputs, can be challenging. The solution process is often computationally expensive and i…
Intelligent sampling for surrogate modeling, hyperparameter optimization, and data analysis
Chandrika Kamath
Sampling techniques are used in many fields, including design of experiments, image processing, and graphics. The techniques in each field are designed to meet the constraints spec…
Classification of Orbits in Poincaré Maps using Machine Learning
Chandrika Kamath
Poincaré plots, also called Poincaré maps, are used by plasma physicists to understand the behavior of magnetically confined plasma in numerical simulations of a tokamak. These plo…
Randomized Algorithms for Scientific Computing (RASC)
Aydin Buluc, Tamara G. Kolda, Stefan M. Wild +16
Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office o…
Blind Detection of Ultra-faint Streaks with a Maximum Likelihood Method
William A. Dawson, Michael D. Schneider, Chandrika Kamath
We have developed a maximum likelihood source detection method capable of detecting ultra-faint streaks with surface brightnesses approximately an order of magnitude fainter than t…