Manish Agrawal

About Manish Agrawal

Manish Agrawal, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Indian Institute of Technology Ropar, specializes in the field of Finite Element Analysis, Deep learning for physical systems, Computational Mechanics, Continuum Mechanics, Topology Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Development of quadratic enhanced assumed strain elements for three-dimensional linear elasticity

Controlled coalescence-induced droplet jumping on flexible superhydrophobic substrates

A monolithic, ALE finite-element-based strategy for partially submerged solids in an incompressible fluid flow using the mortar method

Deep neural networks based predictive-generative framework with data augmentation for designing composite materials

Hellinger–Reissner principle based stress–displacement formulation for three-dimensional isogeometric analysis in linear elasticity

Manish Agrawal Information

University

Position

___

Citations(all)

58

Citations(since 2020)

48

Cited By

22

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

1

Email

University Profile Page

Indian Institute of Technology Ropar

Google Scholar

View Google Scholar Profile

Manish Agrawal Skills & Research Interests

Finite Element Analysis

Deep learning for physical systems

Computational Mechanics

Continuum Mechanics

Topology Optimization

Top articles of Manish Agrawal

Title

Journal

Author(s)

Publication Date

Development of quadratic enhanced assumed strain elements for three-dimensional linear elasticity

Computers & Structures

Dhiraj S Bombarde

Manish Agrawal

Sachin S Gautam

Arup Nandy

2024/1/15

Controlled coalescence-induced droplet jumping on flexible superhydrophobic substrates

arXiv preprint arXiv:2304.05330

Gopal Chandra Pal

Siddharth SS

Manish Agarwal

Chander Shekhar Sharma

2023/4/11

A monolithic, ALE finite-element-based strategy for partially submerged solids in an incompressible fluid flow using the mortar method

Journal of Fluids and Structures

Suman Dutta

Manish Agrawal

CS Jog

2022/11/1

Deep neural networks based predictive-generative framework with data augmentation for designing composite materials

PK Agnihotri

P Garg

M Agrawal

A Kumar

S Chakravarty

2022/11/21

Hellinger–Reissner principle based stress–displacement formulation for three-dimensional isogeometric analysis in linear elasticity

Computer Methods in Applied Mechanics and Engineering

Dhiraj S Bombarde

Manish Agrawal

Sachin S Gautam

Arup Nandy

2022/5/1

See List of Professors in Manish Agrawal University(Indian Institute of Technology Ropar)