Dilpuneet Aidhy

Dilpuneet Aidhy

University of Wyoming

H-index: 26

North America-United States

About Dilpuneet Aidhy

Dilpuneet Aidhy, With an exceptional h-index of 26 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Wyoming, specializes in the field of Computational materials science, density functional theory, molecular dynamics simulations, interfaces, microstructure.

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

Chemical randomness, lattice distortion and the wide distributions in the atomic level properties in high entropy alloys

A machine learning framework for elastic constants predictions in multi-principal element alloys

Nanoprecipitates to enhance radiation tolerance in high-entropy alloys

Charge-density based convolutional neural networks for stacking fault energy prediction in concentrated alloys

Charge-density based evaluation and prediction of stacking fault energies in Ni alloys from DFT and machine learning

A statistical approach for atomistic calculations of vacancy formation energy and chemical potentials in concentrated solid-solution alloys

Factors affecting the vacancy formation energy in Fe70Ni10Cr20 random concentrated alloy

Breaking atomic-level ordering via biaxial strain in functional oxides: A DFT study

Dilpuneet Aidhy Information

University

Position

___

Citations(all)

1706

Citations(since 2020)

1034

Cited By

1058

hIndex(all)

26

hIndex(since 2020)

20

i10Index(all)

41

i10Index(since 2020)

33

Email

University Profile Page

University of Wyoming

Google Scholar

View Google Scholar Profile

Dilpuneet Aidhy Skills & Research Interests

Computational materials science

density functional theory

molecular dynamics simulations

interfaces

microstructure

Top articles of Dilpuneet Aidhy

Title

Journal

Author(s)

Publication Date

Chemical randomness, lattice distortion and the wide distributions in the atomic level properties in high entropy alloys

Dilpuneet S Aidhy

2024/3/25

A machine learning framework for elastic constants predictions in multi-principal element alloys

APL Machine Learning

Nathan Linton

Dilpuneet S Aidhy

2023/3/1

Nanoprecipitates to enhance radiation tolerance in high-entropy alloys

ACS Applied Materials & Interfaces

Boopathy Kombaiah

Yufan Zhou

Ke Jin

Anus Manzoor

Jonathan D Poplawsky

...

2023/1/9

Charge-density based convolutional neural networks for stacking fault energy prediction in concentrated alloys

Materialia

Gaurav Arora

Serveh Kamrava

Pejman Tahmasebi

Dilpuneet S Aidhy

2022/12/1

Charge-density based evaluation and prediction of stacking fault energies in Ni alloys from DFT and machine learning

Journal of Applied Physics

Gaurav Arora

Anus Manzoor

Dilpuneet S Aidhy

2022/12/14

A statistical approach for atomistic calculations of vacancy formation energy and chemical potentials in concentrated solid-solution alloys

Computational Materials Science

Yongfeng Zhang

Anus Manzoor

Chao Jiang

Dilpuneet Aidhy

Daniel Schwen

2021/4/1

Factors affecting the vacancy formation energy in Fe70Ni10Cr20 random concentrated alloy

Computational Materials Science

Anus Manzoor

Yongfeng Zhang

Dilpuneet S Aidhy

2021/10/1

Breaking atomic-level ordering via biaxial strain in functional oxides: A DFT study

Journal of Applied Physics

Kanishk Rawat

Dillon D Fong

Dilpuneet S Aidhy

2021/3/7

Machine learning based methodology to predict point defect energies in multi-principal element alloys

Frontiers in Materials

Anus Manzoor

Gaurav Arora

Bryant Jerome

Nathan Linton

Bailey Norman

...

2021/6/1

Effect of different point-defect energetics in Ni80X20 (X= Fe, Pd) on contrasting vacancy cluster formation from atomistic simulations

Materialia

Gaurav Arora

Giovanni Bonny

Nicolas Castin

Dilpuneet S Aidhy

2021/3/1

Coupling between interfacial strain and oxygen vacancies at complex-oxides interfaces

Dilpuneet S Aidhy

Kanishk Rawat

2021/5/7

Comprehensive analysis of electronic properties due to N, O, Be, and B elements doped and adsorbed on graphene from DFT calculations

Gaurav Raj

Hud Wahab

Patrick A Johnson

Dilpuneet S Aidhy

2021/4/7

Predicting vibrational entropy of fcc solids uniquely from bond chemistry using machine learning

Materialia

Anus Manzoor

Dilpuneet S Aidhy

2020/8/1

∑ 3 Twin Boundaries in Gd₂Ti₂O₇ Pyrochlore: Pathways for Oxygen Migration

Ashish Kumar Gupta

Gaurav Arora

Dilpuneet S Aidhy

Ritesh Sachan

2020

∑3 Twin Boundaries in Gd2Ti2O7 Pyrochlore: Pathways for Oxygen Migration

ACS Applied Materials & Interfaces

Ashish Kumar Gupta

Gaurav Arora

Dilpuneet S Aidhy

Ritesh Sachan

2020/9/11

Machine learning enabled prediction of stacking fault energies in concentrated alloys

Metals

Gaurav Arora

Dilpuneet S Aidhy

2020/8/9

See List of Professors in Dilpuneet Aidhy University(University of Wyoming)

Co-Authors

H-index: 86
Simon Phillpot

Simon Phillpot

University of Florida

H-index: 73
Lumin Wang

Lumin Wang

University of Michigan

H-index: 67
Susan B. Sinnott

Susan B. Sinnott

Penn State University

H-index: 48
Juan Claudio Nino

Juan Claudio Nino

University of Florida

H-index: 41
Ke Jin

Ke Jin

Beijing Institute of Technology

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