Towards atomistic understanding of Iron phosphate glass: a first-principles based DFT modeling and study of its physical properties
Shakti Singh, Manan Dholakia, Sharat Chandra

TL;DR
This study develops atomistic models of iron phosphate glass using a hybrid computational approach combining Monte Carlo, ab-initio molecular dynamics, and DFT optimization, enabling detailed property predictions without costly melt-quench simulations.
Contribution
The paper introduces a hybrid modeling scheme for IPG that accurately predicts its properties using DFT, bypassing traditional melt-quench methods.
Findings
Models reproduce experimental electronic band-gap
Accurately predict vibrational density of states
Match experimental elastic and optical properties
Abstract
Iron phosphate glasses (IPG) have been proposed as futuristic glass material for nuclear waste immobilization, anode material for lithium batteries and also as bioactive glass. In the last decade, there have been attempts to propose atomistic models of IPG to explain their properties from atomistic viewpoint and to predict their behavior in radioactive environment. In this paper, we seek to produce small scale models of IPG that can be handled within the scheme of Density Functional Theory (DFT) to study the electronic structure of this material. The starting models generated using Monte Carlo (MC) method [S. Singh and S. Chandra, Comp. Mat. Sci., 202, 110943, (2022)] were subsequently annealed (at 1000 K) using ab-initio molecular dynamics (AIMD). This removes coordination defects present in the MC models. The equilibrated structure at this temperature was then force-relaxed using…
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Taxonomy
TopicsGlass properties and applications · Luminescence Properties of Advanced Materials · Crystal Structures and Properties
