Publication2026
ANN implementation in predicting the entropy optimized heat and mass transfer of an EMHD trihybrid nanofluid past a stretching sheet with variable viscosity, viscous dissipation and convective boundary conditions
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- International Journal of Ambient Energy
- Volume
- 47
- Issue
- 1
- Published
- 1 January 2026
- DOI
- 10.1080/01430750.2026.2685726
- Scopus ID
- 105042548327
- ISSN
- 01430750
- Authors
- 4
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
7 Ensure access to affordable, reliable, sustainable and modern energy for all
ANN-based optimization of EMHD trihybrid nanofluid heat and mass transfer with entropy minimization advances thermal management for industrial applications
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Advanced nanofluid thermal properties research contributes to energy efficiency and sustainable energy systems
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “ANN implementation in predicting the entropy optimized heat and mass transfer of an EMHD trihybrid nanofluid past a stretching sheet with variable viscosity, viscous dissipation and convective boundary conditions”. Kortex.