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Ankit Jain

4 papers hereh-index 4330 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci4
same name
  • Ankit Jain — 8 papers, h 36
  • Ankit Jain — 6 papers, h 3
  • Ankit Jain — 3 papers, h 3
  • Ankit Jain — 3 papers, h 4
  • Ankit Jain — 1 paper, h 2
  • Ankit Jain — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
collaborators

4 papers

cond-mat.mtrl-sci2026

Higher order anharmonicity and polymorphism in the lattice thermal conductivity of transition metal dichalcogenides

Marta Loletti, Qi Ren, Zhuyao Chang +6

We present a comprehensive {\it ab initio} study of the effect of higher-order anharmonicity and polymorphism on the lattice thermal conductivity, κ, of single-layer transi…

cond-mat.mtrl-sci2025

Computational uncertainties in lattice thermal conductivity prediction of crystalline solids

Yagyank Srivastava, Amey G. Gokhale, Ankit Jain

We report computational uncertainties in Boltzmann Transport Equation (BTE)-based lattice thermal conductivity prediction of 50 diverse semiconductors from the use of different BTE…

cond-mat.mtrl-sci2024

Accelerating Phonon Thermal Conductivity Prediction by an Order of Magnitude Through Machine Learning-Assisted Extraction of Anharmonic Force Constants

Yagyank Srivastava, Ankit Jain

The calculation of material phonon thermal conductivity from density functional theory calculations requires computationally expensive evaluation of anharmonic interatomic force co…

cond-mat.mtrl-sci2023

End-to-end Material Thermal Conductivity Prediction through Machine Learning

Yagyank Srivastava, Ankit Jain

We investigated the accelerated prediction of the thermal conductivity of materials through end- to-end structure-based approaches employing machine learning methods. Due to the no…

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