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M. Damodaran

3 papers hereh-index 171.5k citations122 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn2
  • cs.CE1

identity via Semantic Scholar / OpenAlex

most citedMachine Learning Surrogates for Predicting Response of an Aero-Structural-Sloshing System

5 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

physics.flu-dyn2023

Deep Learning-Driven Nonlinear Reduced-Order Models for Predicting Wave-Structure Interaction

Rahul Halder, Murali Damodaran, Khoo Boo Cheong

Long Short-Term Memory (LSTM) network-driven Non-Intrusive Reduced Order Model (NROM) for predicting the dynamics of a floating box on the water surface in a wavemaker basin is add…

physics.flu-dyn2019

Models for Predicting Transonic Flutter of a Wing-Section with Sloshing in an Embedded Fuel Tank

Shashank Srivastava, Murali Damodaran, Boo Cheong Khoo

The present study focuses on the development, application, and comparison of three computational frameworks of varying fidelities for assessing the effects of fuel sloshing in inte…

cs.CE2019★ 5 cited

Machine Learning Surrogates for Predicting Response of an Aero-Structural-Sloshing System

Shashank Srivastava, Murali Damodaran, Boo Cheong Khoo

This study demonstrates the feasibility of developing machine learning (ML) surrogates based on Recurrent Neural Networks (RNN) for predicting the unsteady aeroelastic response of…

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