Optimal descriptor as a translator of eclectic information into the prediction of thermal conductivity of micro-electro-mechanical systems

Alla P. Toropova, Andrey A. Toropov, Tomasz Puzyn, Emilio Benfenati, Danuta Leszczynska, Jerzy Leszczynski

Research output: Contribution to journalArticlepeer-review

Abstract

Micro-electro-mechanical systems (MEMS) are involved in various fields of nanotechnology. MEMS are characterized by complex and unclear molecular architecture. However, in most cases information about chemical composition and conditions of synthesis is available. One-variable models for thermal conductivity of MEMS are suggested. These models are based on the representation of MEMS by their chemical composition and technological attributes. We have examined three random splits of available data into the training set and validation set. The average statistical characteristics of these models are quite good. Development of suggested here models is carried out without information on molecular architecture of MEMS.

Original languageEnglish
Pages (from-to)2230-2237
Number of pages8
JournalJournal of Mathematical Chemistry
Volume51
Issue number8
DOIs
Publication statusPublished - Sep 2013

Keywords

  • CORAL software
  • Micro-electro-mechanical system
  • Nanotechnology
  • Optimal descriptor

ASJC Scopus subject areas

  • Chemistry(all)
  • Applied Mathematics

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