Parallel Processing for Material Science Discovery: A Workflow Bottleneck Analysis and Optimization Framework

Explore the article titled Parallel Processing for Material Science Discovery: A Workflow Bottleneck Analysis and Optimization Framework from IJIRT Volume 12, Issue no. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

Authors

Publication Details

Journal
International Journal of Innovative Research in Technology
Published
2026-01-30
DOI
https://doi.org/10.64643/ijirtv12i7-191745-459
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Parallel Processing for Material Science Discovery: A Workflow Bottleneck Analysis and Optimization Framework

Sparsh
International Journal of Innovative Research in Technology
Machine Learning in Materials Science
article

Parallel Processing for Material Science Discovery: A Workflow Bottleneck Analysis and Optimization Framework

Sparsh
article en

Abstract

Explore the article titled Parallel Processing for Material Science Discovery: A Workflow Bottleneck Analysis and Optimization Framework from IJIRT Volume 12, Issue no. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

International Journal of Innovative Research in TechnologyVol. 12(7)
Openalex Percentile: Top 73%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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