Invited Speech

Nanomaterials are playing an increasingly vital role in addressing global sustainability challenges, particularly in the field of clean energy. Their unique properties at the nanoscale enable breakthroughs in technologies such as electrocatalysis, which is central to processes like water splitting, CO. reduction, and fuel cell operation. This keynote explores the experimental development of advanced nanostructured materials designed to improve catalytic efficiency, selectivity, and durability. While the core focus is on synthesis and characterization, the talk also highlights how computational modelling, simulation, and optimization are becoming powerful allies in accelerating materials discovery and guiding design strategies. By bridging experimental innovation with computational insight, this integrated approach is helping to shape the next generation of sustainable energy solutions.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/iccmso67468.2025.00013
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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Invited Speech

Ritu Rai
Machine Learning in Materials Science
article

Invited Speech

Ritu Rai
article en

Abstract

Nanomaterials are playing an increasingly vital role in addressing global sustainability challenges, particularly in the field of clean energy. Their unique properties at the nanoscale enable breakthroughs in technologies such as electrocatalysis, which is central to processes like water splitting, CO. reduction, and fuel cell operation. This keynote explores the experimental development of advanced nanostructured materials designed to improve catalytic efficiency, selectivity, and durability. While the core focus is on synthesis and characterization, the talk also highlights how computational modelling, simulation, and optimization are becoming powerful allies in accelerating materials discovery and guiding design strategies. By bridging experimental innovation with computational insight, this integrated approach is helping to shape the next generation of sustainable energy solutions.

Opole University of Technology (PL)
Openalex Percentile: Top 86%
Machine Learning in Materials Science
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