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Alejandro Valencia-Arías

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Review Open access Sep 2026

Agentic Artificial Intelligence in Chemical Engineering, Process Systems Engineering, and Process Control: A Systematic Review of Emerging Perspectives and Challenges

Agentic artificial intelligence is gaining significance in chemical engineering. Many process decisions involve coordinated actions rather than isolated predictions. These decisions are constrained by physical limitations, uncertain measurements, safety protocols, and human supervision. This PRISMA-guided systematic re...

A. Alviz-Meza, Alejandro Valencia-Arías, S. Rojas-Flores et al. · 0 citations
Review Open access Aug 2026

Life Cycle Assessment of Hydrogen Production Technologies: A Systematic Review of Environmental Impacts and Policy Implications for the Green Energy Transition

Hydrogen is not intrinsically low-carbon; its environmental value depends on how, where, and with which energy system it is produced. This PRISMA 2020 systematic review synthesizes 28 peer-reviewed life cycle assessment (LCA) studies on major hydrogen production pathways, including steam methane reforming, electrolysis...

César Felipe Henao Villa, D. García-Arango, L. F. Garcés Giraldo et al. · 0 citations
Open access Sep 2026

Does gamification improve university learning? A correlational meta-analysis between serious games and learning outcomes

The findings indicate that the relationship between gamification, serious games, and university learning is not a homogeneous effect, but rather a complex phenomenon conditioned by the educational context, pedagogical design, and methodological decisions in primary studies.

Alejandro Valencia-Arías, Jesús Alberto Jiménez García, Lelis Grabiel Palacios Silva et al. · 0 citations
Review Open access Jul 2026

From Scientific Copilots to Tool-Grounded Autonomy: AI Agents in Simulation-Driven Materials Discovery

This review establishes AI agent workflow orchestration as a distinct analytical category within materials discovery and identifies the reporting, validation, and reproducibility conditions required for these systems to function as credible scientific infrastructure rather than as conversational demonstrations.

A. Alviz-Meza, Alejandro Valencia-Arías, S. Rojas-Flores et al. · 0 citations

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