N. M. Anoop Krishnan

About N. M. Anoop Krishnan

N. M. Anoop Krishnan, With an exceptional h-index of 29 and a recent h-index of 28 (since 2020), a distinguished researcher at Indian Institute of Technology Delhi, specializes in the field of Molecular simulation, Machine learning, Materials Discovery, Multiscale Modeling, Glass.

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

CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems

Reconstructing materials tetrahedron: Challenges in materials information extraction

H‐Glass Supported Hybrid Gold Nano‐Islands for Visible‐Light‐Driven Hydrogen Evolution

Egraffbench: Evaluation of equivariant graph neural network force fields for atomistic simulations

Utilizing LSTM models to predict PM2. 5 levels during critical episodes in Delhi, the world's most polluted capital city

A combined experimental and numerical analysis framework for the design of aluminum windows

Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning

Influence of metal organic framework glasses on thermoelectric properties of AgSb0. 96Zn0. 04Te2 alloy

N. M. Anoop Krishnan Information

University

Position

Assistant Professor

Citations(all)

2451

Citations(since 2020)

2287

Cited By

868

hIndex(all)

29

hIndex(since 2020)

28

i10Index(all)

66

i10Index(since 2020)

64

Email

University Profile Page

Indian Institute of Technology Delhi

Google Scholar

View Google Scholar Profile

N. M. Anoop Krishnan Skills & Research Interests

Molecular simulation

Machine learning

Materials Discovery

Multiscale Modeling

Glass

Top articles of N. M. Anoop Krishnan

Title

Journal

Author(s)

Publication Date

CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems

arXiv preprint arXiv:2310.01650

Priyanshu Burark

Karn Tiwari

Meer Mehran Rashid

NM Krishnan

2023/10/2

Reconstructing materials tetrahedron: Challenges in materials information extraction

Digital Discovery

Kausik Hira

Mohd Zaki

Dhruvil Sheth

Mausam Mausam

NM Anoop Krishnan

2024

H‐Glass Supported Hybrid Gold Nano‐Islands for Visible‐Light‐Driven Hydrogen Evolution

Small

Indrajeet Mandal

Jagannath Gangareddy

Abimannan Sethurajaperumal

Murugasenapathi Nk

Manikanta Majji

...

2024/4/2

Egraffbench: Evaluation of equivariant graph neural network force fields for atomistic simulations

Digital Discovery

Vaibhav Bihani

Sajid Mannan

Utkarsh Pratiush

Tao Du

Zhimin Chen

...

2024

Utilizing LSTM models to predict PM2. 5 levels during critical episodes in Delhi, the world's most polluted capital city

Urban Climate

Sanchit Bedi

Arpit Katiyar

NM Anoop Krishnan

Sri Harsha Kota

2024/1/1

A combined experimental and numerical analysis framework for the design of aluminum windows

Journal of Building Engineering

Tanu Pittie

Shahin Ahmad

Hargun Singh

Meer Mehran Rashid

Saikat Adhikari

...

2024/4/1

Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning

Sajid Mannan

Vaibhav Bihani

NM Anoop Krishnan

John C Mauro

2024

Influence of metal organic framework glasses on thermoelectric properties of AgSb0. 96Zn0. 04Te2 alloy

Journal of Non-Crystalline Solids

Aradhana Acharya

Barnasree Chanda

Madhuvathani Saminathan

Suresh Perumal

K Jayanthi

...

2024/3/1

Enhanced bond switching at complexion layer facilitates high fracture energy of LATP solid-state electrolytes

Journal of Materials Chemistry A

Zhimin Chen

Tao Du

NM Anoop Krishnan

Morten M Smedskjaer

2024

Are LLMs Ready for Real-World Materials Discovery?

arXiv preprint arXiv:2402.05200

Santiago Miret

NM Krishnan

2024/2/7

MaScQA: investigating materials science knowledge of large language models

Digital Discovery

Mohd Zaki

J Jayadeva

Mausam Mausam

NM Anoop Krishnan

2024

Disorder-induced enhancement of lithium-ion transport in solid-state electrolytes

arXiv preprint arXiv:2401.05151

Zhimin Chen

Tao Du

NM Krishnan

Yuanzheng Yue

Morten M Smedskjaer

2024/1/10

Glass hardness: Predicting composition and load effects via symbolic reasoning-informed machine learning

Acta Materialia

Sajid Mannan

Mohd Zaki

Suresh Bishnoi

Daniel R Cassar

Jeanini Jiusti

...

2023/8/15

CoNO: Complex Neural Operator for Continuous Dynamical Systems

arXiv preprint arXiv:2310.02094

Karn Tiwari

NM Krishnan

2023/10/3

StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes

International Conference on Machine Learning

Vaibhav Bihani

Sahil Manchanda

Srikanth Sastry

Sayan Ranu

NM Krishnan

2023/1/29

Learning the Dynamics of Physical Systems with Hamiltonian Graph Neural Networks

Suresh Bishnoi

Ravinder Bhattoo

Jayadeva Jayadeva

Sayan Ranu

NM Anoop Krishnan

2023

Machine learning-assisted design of na-ion-conducting glasses

The Journal of Physical Chemistry C

Indrajeet Mandal

Sajid Mannan

Lothar Wondraczek

Nitya Nand Gosvami

Amarnath R Allu

...

2023/7/20

Glassomics: An omics approach toward understanding glasses through modeling, simulations, and artificial intelligence

Mohd Zaki

Amreen Jan

NM Anoop Krishnan

John C Mauro

2023/10

Learning the dynamics of particle-based systems with lagrangian graph neural networks

Machine Learning: Science and Technology

Ravinder Bhattoo

Sayan Ranu

NM Anoop Krishnan

2023/1/18

Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems

Suresh Bishnoi

Ravinder Bhattoo

Jayadeva Jayadeva

Sayan Ranu

NM Anoop Krishnan

2023

See List of Professors in N. M. Anoop Krishnan University(Indian Institute of Technology Delhi)

Co-Authors

H-index: 60
John C. Mauro

John C. Mauro

Penn State University

H-index: 56
Gaurav N. Sant

Gaurav N. Sant

University of California, Los Angeles

H-index: 53
Mathieu Bauchy

Mathieu Bauchy

University of California, Los Angeles

H-index: 47
Morten M. Smedskjaer

Morten M. Smedskjaer

Aalborg Universitet

H-index: 30
Bu Wang

Bu Wang

University of Wisconsin-Madison

H-index: 25
Nitya Nand Gosvami

Nitya Nand Gosvami

Indian Institute of Technology Delhi

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