24 citations · 28 across the 9 of their papers we have counts for
9 papers
Using R-functions to Control the Shape of Soft Robots
Declan Mulroy, Esteban Lopez, Matthew Spenko +1
In this paper, we introduce a new approach for soft robot shape formation and morphing using approximate distance fields. The method uses concepts from constructive solid geometry,…
Scattering of mechanical waves from the perspective of open systems
Hossein Khodavirdi, Amir Ashkan Mokhtari, Ankit Srivastava
In this paper, we consider the problem of mechanical wave scattering from a spatially finite system into an infinite surrounding environment. The goal is to illuminate why the scat…
Angle-dependent Phononic Dynamics for Deep Learning and Source Localization
Weidi Wang, Amir Ashkan Mokhtari, Ankit Srivastava +1
In this work, a parameterized eigenvalue problem is analyzed for a phononic array in a 2D stress wave scattering setup, and a corresponding sensing application of this system is pr…
The Analytical Structure of Acoustic and Elastic Material Properties
Hossein Khodavirdi, Ankit Srivastava
In this paper, we take an in-depth look at the analytical structure of the material transfer functions which govern acoustic and elastic response. These include wavenumber () in…
Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
N. Sukumar, Ankit Srivastava
In this paper, we introduce a new approach based on distance fields to exactly impose boundary conditions in physics-informed deep neural networks. The challenges in satisfying Dir…
Cosmological N-body simulations: a challenge for scalable generative models
Nathanaël Perraudin, Ankit Srivastava, Aurelien Lucchi +3
Deep generative models, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAs) have been demonstrated to produce images of high visual quality. However, t…
Multi-Information Source Fusion and Optimization to Realize ICME: Application to Dual Phase Materials
Seyede Fatemeh Ghoreishi, Abhilash Molkeri, Ankit Srivastava +2
Integrated Computational Materials Engineering (ICME) calls for the integration of computational tools into the materials and parts development cycle, while the Materials Genome In…
Deep Convolutional Neural Networks for Eigenvalue Problems in Mechanics
David Finol, Yan Lu, Vijay Mahadevan +1
We show that deep convolutional neural networks (CNN) can massively outperform traditional densely-connected neural networks (both deep or shallow) in predicting eigenvalue problem…
Fast distributed phononic band-structure calculations through a GPU accelerated mixed-variational formulation
Ankit Srivastava
In this paper we present a Graphical Processing Unit accelerated mixed variational formulation for fast phononic band-structure calculation of arbitrarily complex unit cells and re…