Phanish Suryanarayana

About Phanish Suryanarayana

Phanish Suryanarayana, With an exceptional h-index of 26 and a recent h-index of 23 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Ab-initio methods, Multiscale modeling, Numerical methods, Nanoscience, Warm dense matter.

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

Review of the second charged-particle transport coefficient code comparison workshop

Overcoming the chemical complexity bottleneck in on-the-fly machine learned molecular dynamics simulations

Self‐consistent convolutional density functional approximations: Application to adsorption at metal surfaces

On-the-fly machine learned force fields for the study of warm dense matter: application to diffusion and viscosity of CH

Strain engineering of Zeeman and Rashba effects in transition metal dichalcogenide nanotubes and their Janus variants: an ab initio study

Properties of carbon up to 10 million kelvin from Kohn-Sham density functional theory molecular dynamics

Kohn–Sham accuracy from orbital-free density functional theory via Δ-machine learning

Calculation of phonons in real-space density functional theory

Phanish Suryanarayana Information

University

Position

Associate Professor

Citations(all)

1661

Citations(since 2020)

1240

Cited By

945

hIndex(all)

26

hIndex(since 2020)

23

i10Index(all)

39

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Phanish Suryanarayana Skills & Research Interests

Ab-initio methods

Multiscale modeling

Numerical methods

Nanoscience

Warm dense matter

Top articles of Phanish Suryanarayana

Review of the second charged-particle transport coefficient code comparison workshop

Physics of Plasmas

2024/5/1

Overcoming the chemical complexity bottleneck in on-the-fly machine learned molecular dynamics simulations

arXiv preprint arXiv:2404.07961

2024/4/11

Shashikant Kumar
Shashikant Kumar

H-Index: 3

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

Self‐consistent convolutional density functional approximations: Application to adsorption at metal surfaces

ChemPhysChem

2024/2/29

Xiangyun Lei
Xiangyun Lei

H-Index: 4

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

On-the-fly machine learned force fields for the study of warm dense matter: application to diffusion and viscosity of CH

arXiv preprint arXiv:2402.13450

2024/2/21

Shashikant Kumar
Shashikant Kumar

H-Index: 3

Xin Jing
Xin Jing

H-Index: 16

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

Strain engineering of Zeeman and Rashba effects in transition metal dichalcogenide nanotubes and their Janus variants: an ab initio study

Nanotechnology

2024/2/12

Arpit Bhardwaj
Arpit Bhardwaj

H-Index: 1

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

Properties of carbon up to 10 million kelvin from Kohn-Sham density functional theory molecular dynamics

Physical Review E

2023/1/24

Kohn–Sham accuracy from orbital-free density functional theory via Δ-machine learning

The Journal of Chemical Physics

2023/12/28

Shashikant Kumar
Shashikant Kumar

H-Index: 3

Xin Jing
Xin Jing

H-Index: 16

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

Calculation of phonons in real-space density functional theory

Physical Review E

2023/10/4

Abhiraj Sharma
Abhiraj Sharma

H-Index: 5

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

On the effective dynamic mass of mechanical lattices with microstructure

Journal of the Mechanics and Physics of Solids

2023/10/1

Accuracy of Kohn-Sham density functional theory for warm-and hot-dense matter equation of state

arXiv preprint arXiv:2308.08132

2023/8/16

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

Arpit Bhardwaj
Arpit Bhardwaj

H-Index: 1

Xin Jing
Xin Jing

H-Index: 16

Self-consistent convolutional density functional approximations: Formulation and application to adsorption at metal surfaces

arXiv preprint arXiv:2308.05310

2023/8/10

Xiangyun Lei
Xiangyun Lei

H-Index: 4

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

On the Effective Mass of Mechanical Lattices with Microstructure

arXiv preprint arXiv:2306.13096

2023/6/8

Assessing the source of error in the Thomas–Fermi–von Weizsäcker density functional

The Journal of Chemical Physics

2023/6/7

Xin Jing
Xin Jing

H-Index: 16

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

GPU acceleration of local and semilocal density functional calculations in the SPARC electronic structure code

The Journal of Chemical Physics

2023/5/28

Version 2.0. 0--SPARC: Simulation Package for Ab-initio Real-space Calculations

arXiv preprint arXiv:2305.07679

2023/5/12

Towards understanding flexoelectricity at the nanoscale

arXiv preprint arXiv:2304.00628

2023/4/2

David Codony
David Codony

H-Index: 4

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

Irene Arias
Irene Arias

H-Index: 15

Ab initio study on the electromechanical response of Janus transition metal dihalide nanotubes

The European Physical Journal B

2023/3

Arpit Bhardwaj
Arpit Bhardwaj

H-Index: 1

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

Assessing the source of error in local orbital-free density functionals

arXiv preprint arXiv:2302.05376

2023/2

Xin Jing
Xin Jing

H-Index: 16

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

Version 2.0. 0-M-SPARC: Matlab-Simulation Package for Ab-initio Real-space Calculations

SoftwareX

2023/2/1

Xin Jing
Xin Jing

H-Index: 16

Shashikant Kumar
Shashikant Kumar

H-Index: 3

Phanish Suryanarayana
Phanish Suryanarayana

H-Index: 19

See List of Professors in Phanish Suryanarayana University(Georgia Institute of Technology)