Search Results for author: Ankit Srivastava

Found 11 papers, 1 papers with code

FO-PINNs: A First-Order formulation for Physics Informed Neural Networks

no code implementations25 Oct 2022 Rini J. Gladstone, Mohammad A. Nabian, N. Sukumar, Ankit Srivastava, Hadi Meidani

Physics-Informed Neural Networks (PINNs) are a class of deep learning neural networks that learn the response of a physical system without any simulation data, and only by incorporating the governing partial differential equations (PDEs) in their loss function.

Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks

no code implementations17 Apr 2021 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.

Scattering under Linear Non Self-Adjoint Operators: Case of in-Plane Elastic Waves

no code implementations6 Mar 2020 Amir Ashkan Mokhtari, Yan Lu, Qiyuan Zhou, Alireza V. Amirkhizi, Ankit Srivastava

In this paper, we consider the problem of the scattering of in-plane waves at an interface between a homogeneous medium and a metamaterial.

Applied Physics

Cosmological N-body simulations: a challenge for scalable generative models

1 code implementation15 Aug 2019 Nathanaël Perraudin, Ankit Srivastava, Aurelien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier

Our results show that the proposed model produces samples of high visual quality, although the statistical analysis reveals that capturing rare features in the data poses significant problems for the generative models.

Design and Analysis of a Novel Control Moment Gyroscope (CMG) For Small Satellite Applications

no code implementations6 Jun 2018 Mihindukulasooriya Sheral Crescent Tissera, Kay Soon Low, Ankit Srivastava, Abhishek Rai, Jun Hao Tan and Yan Rui Tan

This paper presents a novel Single Gimbal Control Moment Gyroscope (CMG) to increase the agility of small satellites while consuming a low power.

Semantic Storytelling, Cross-lingual Event Detection and other Semantic Services for a Newsroom Content Curation Dashboard

no code implementations WS 2017 Julian Moreno-Schneider, Ankit Srivastava, Peter Bourgonje, David Wabnitz, Georg Rehm

We present a prototypical content curation dashboard, to be used in the newsroom, and several of its underlying semantic content analysis components (such as named entity recognition, entity linking, summarisation and temporal expression analysis).

Clustering Entity Linking +4

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