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Amal Medhi

3 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el2
  • cond-mat.supr-con1
ORCID 0000-0001-5322-1649

identity via Semantic Scholar / OpenAlex

most citedConvolutional restricted Boltzmann machine (CRBM) correlated variational wave function for the Hubbard model on a square lattice: Mott metal-insulator transition

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.supr-con2025

Role of topotactic hydrogen in Superconductivity of Infinite-layer Nickelate NdNiO2​: A first-principles and variational Monte Carlo study

Manoj Gupta, Arun Kumar Maurya, Amal Medhi +1

Employing combination of first-principles calculations, low-energy model construction, and variational Monte Carlo solution of the ab-initio derived Hubbard model, we study the eff…

cond-mat.str-el2024

Restricted Boltzmann machine network versus Jastrow correlated wave function for the two-dimensional Hubbard model

Karthik V, Amal Medhi

We consider a restricted Boltzmann Machine (RBM) correlated BCS wave function as the ground state of the two-dimensional Hubbard model and study its electronic and magnetic propert…

cond-mat.str-el2024★ 1 cited

Convolutional restricted Boltzmann machine (CRBM) correlated variational wave function for the Hubbard model on a square lattice: Mott metal-insulator transition

Karthik V., Amal Medhi

We use a convolutional restricted Boltzmann machine (CRBM) neural network to construct a variational wave function (WF) for the Hubbard model on a square lattice and study it using…

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