Work

High-Throughput Screening of Tribological Properties of Monolayer Films using Molecular Dynamics and Machine Learning: Supplemental Repository

Year: 2021

Type: dataset

Abstract: Supplemental repository for the "High-Throughput Screening of Tribological Properties of Monolayer Films using Molecular Dynamics and Machine Learning" article. Contains calculated tribological properties of dual-monolayer systems from Molecular Dynamics (MD) simulation and Machine Learning (ML).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.5097002

Authors: Quach, Co D, Gilmer, Justin B, Pert, Daniel, Mason-Hogans, Akanke, Iacovella, Christopher, McCabe, Clare, Cummings, Peter T

Institution: Vanderbilt University

Language: English

Topic: Lubricants and Their Additives

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393472256

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