onfidential Technical Proposal – AI-Enhanced Temperature Control System for Cylindrical Components (Restricted Version)"**

Restricted version with copyright submitted for NineSigma RFP_2025_0019_R_005.It contains technical and intellectual information protected by a Non-Disclosure Agreement (NDA). This version is available under the CC BY-ND 4.0 license and is intended to safeguard the original content while providing access to evaluators. A separate public version without restricted details is also available on Zenodo.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-07
DOI
https://doi.org/10.5281/zenodo.15612274
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

onfidential Technical Proposal – AI-Enhanced Temperature Control System for Cylindrical Components (Restricted Version)"**

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

onfidential Technical Proposal – AI-Enhanced Temperature Control System for Cylindrical Components (Restricted Version)"**

article en

Abstract

Restricted version with copyright submitted for NineSigma RFP_2025_0019_R_005.It contains technical and intellectual information protected by a Non-Disclosure Agreement (NDA). This version is available under the CC BY-ND 4.0 license and is intended to safeguard the original content while providing access to evaluators. A separate public version without restricted details is also available on Zenodo.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 61%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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onfidential Technical Proposal – AI-Enhanced Temperature Control System for Cylindrical Components (Restricted Version)"** · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS