activity
20222026
most citedAb initio simulation of amorphous graphite

52 citations · 161 across the 17 of their papers we have counts for

collaborators

18 papers

cond-mat.mtrl-sci2026

Lattice dynamics of disordered phases of silicon and spatially resolved computations of thermal conductivity

A. Gautam, C. Ugwumadu, L. A. M. Rosset +3

The lattice dynamics of disordered systems (amorphous solids, polymers and glasses) are often distinct from crystalline analogues. Examples include the "two-level systems" and the…

cond-mat.mtrl-sci2026

Real-Space Mapping of Electronic Conductivity in Complex Materials

C. Ugwumadu, D. A. Drabold, R. M. Tutchton

We introduce KuboMap, a real-space representation of electronic conductivity derived from the Kubo-Greenwood formula. KuboMap defines a nonnegative conductivity density whose spati…

cond-mat.mtrl-sci2026

A Defect-Free Model of Amorphous Silicon with Pristine Electronic Structure

Louise A. M. Rosset, Chinonso Ugwumadu, Stephen R. Elliott +2

Amorphous silicon (a-Si) is understood to be the canonical continuous random network material, ideally defined by fully fourfold coordination. Here, we show that a defect-free ('id…

cond-mat.mtrl-sci2026

Temperature dependence of electronic conductivity from ab initio thermal simulation

Ridwan Hussein, Chinonso Ugwumadu, Kishor Nepal +3

We present a temperature-dependent extension of the approximate electronic conductivity formula of Hindley and Mott that leverages time-averaged fluctuations of the electronic dens…

cond-mat.mtrl-sci2025

Electronic and thermal properties of the phase-change memory material, Ge2Sb2Te5, and results from spatially resolved transport calculations

Kishor Nepal, Aashish Gautam, Ridwan Hussein +4

We report new insights into the electronic, structural, and transport (heat and charge) properties of the phase-change memory material Ge2Sb2Te5. Using realistic structural models…

cond-mat.mtrl-sci2025★ 4 cited

Spatially Local Estimates of the Thermal Conductivity of Materials

C. Ugwumadu, A. Gautam, Y. G. Lee +1

In this paper we describe a spatial decomposition of the thermal conductivity, what we name "site-projected thermal conductivity", a gauge of the thermal conduction activity at eac…

cond-mat.mtrl-sci2024

New models of clean and hydrogenated amorphous silicon surfaces

Kishor Nepal, Aashish Gautam, Chinonso Ugwumadu +1

We present new atomistic models of amorphous silicon (a-Si) and hydrogenated amorphous silicon (a-Si:H) surfaces. The a-Si model included 4096 atoms and was obtained using local or…

cond-mat.mtrl-sci2024★ 3 cited

Site-projected Thermal Conductivity: Application to defects, interfaces, and homogeneously disordered materials

A. Gautam, Y. G. Lee, C. Ugwumadu +3

With the rapid advance of high-performance computing and electronic technologies, understanding thermal conductivity in materials has become increasingly important. This study pres…

cond-mat.mtrl-sci2024★ 10 cited

Physical origin of enhanced electrical conduction in aluminum-graphene composites

K. Nepal, C. Ugwumadu, K. N. Subedi +2

The electronic and transport properties of aluminum-graphene composite materials were investigated using ab initio plane wave density functional theory. The interfacial structure i…

cond-mat.mtrl-sci2023★ 8 cited

Electronic Conductivity in Metal-Graphene Composites: The Role of Disordered Carbon Structures, Defects, and Impurities

K. Nepal, C. Ugwumadu, A. Gautam +2

This paper explores the transport properties of aluminum-carbon composite material via ab initio methods. Interfacial and electronic dynamics of the aluminum-graphene interface str…

physics.app-ph2023★ 3 cited

Improved Photocatalytic Performance via Air-Plasma Modification of Titanium Dioxide: Insights from Experimental and Simulation Investigation

C. Ugwumadu, I. Olaniyan, H. K. Jeong +1

Commercial titanium dioxide is successfully plasma-treated under ambient conditions for different time periods, leading to reduced crystallite size and the creation of oxygen vacan…

cond-mat.mtrl-sci2023★ 2 cited

Understanding defects in amorphous silicon with million-atom simulations and machine learning

Joe D. Morrow, Chinonso Ugwumadu, David A. Drabold +3

The structure of amorphous silicon is widely thought of as a fourfold-connected random network, and yet it is defective atoms, with fewer or more than four bonds, that make it part…

cond-mat.mtrl-sci2023

Computer Simulation of Carbonization and Graphitization of Coal

C. Ugwumadu, R. Olson, N. L. Smith +4

This study describes computer simulations of carbonization and graphite formation, including the effects of hydrogen, nitrogen, oxygen, and sulfur. We introduce a novel technique t…

cond-mat.mtrl-sci2022★ 49 cited

Electronic transport in copper-graphene composites

K. N. Subedi, K. Nepal, C. Ugwumadu +2

We investigate the electronic transport properties of copper-graphene composites using a density-functional framework. Conduction in composites by varying the interface distance of…

cond-mat.mtrl-sci2022★ 1 cited

Formation of amorphous carbon multi-walled nanotubes from random initial configurations

C. Ugwumadu, R. Thapa, Y. Al-Majali +2

Amorphous carbon nanotubes (a-CNT) with up to four walls and sizes ranging from 200 to 3200 atoms have been simulated, starting from initial random configurations and using the Gau…

cond-mat.mtrl-sci2022★ 11 cited

Atomistic Nature of Amorphous Graphite

C. Ugwumadu, K. Nepal, R. Thapa +1

This paper focuses on the structural, electronic, and vibrational features of amorphous graphite [R. Thapa , Phys. Rev. Lett. 128, 236402 (2022)]. The structure o…

cond-mat.dis-nn2022★ 18 cited

Simulation of multi-shell fullerenes using Machine-Learning Gaussian Approximation Potential

C. Ugwumadu, K. Nepal, R. Thapa +4

Multi-shell fullerenes "buckyonions" were simulated, starting from initially random configurations, using a density-functional-theory (DFT)-trained machine-learning carbon potentia…

cond-mat.mtrl-sci2022★ 52 cited

Ab initio simulation of amorphous graphite

Rajendra Thapa, Chinonso Ugwumadu, Kishor Nepal +2

A disorder-order transition from amorphous carbon (aC) to layered amorphous graphene (LAG) has been predicted using ab-initio methods. Amorphous carbon at densities close to the gr…