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Sharing potential solutions for global environmental concerns

The Joint International Workshop on Energy and Sustainability addresses the world's most pressing environmental concerns, through the lens of materials science. Get ready to engage with our distinguished speakers on an array of topics - from Green Hydrogen and CCUS to Sustainable Materials Design and AI/ML.

Material Design for Sustainability

A wide range of materials synthesized via different techniques gives rise to highly active compounds for catalysis and energy storage devices. The property of the material is optimized by tuning at the atomic level.

Green Hydrogen & Utilization

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The greener, the livelier! Hydrogen, the green fuel is the savior for the environment by replacing the carbonaceous fossil fuels. Green hydrogen is generated by electrochemical and photo-electrochemical splitting of water. Designing of efficient materials and understanding reaction mechanism will pave the way better. 

CO2 Capture & Utilization

Capture of released carbon dioxide from different industrial and transportation sectors is being done by non-precious materials and is then converted to value added products by thermochemical, photochemical, and electrochemical pathways. 

Solar Energy

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Harvesting solar energy directly to generate hydrogen from water or to convert greenhounse gas, carbon dioxide gas to value added chemicals is the most sustainable form of mitigating the climatic change. 

Fuel Cell & Batteries

Fuel cells need to replace fossil fuel utilization to make the environment carbon dioxide free. Batteries can be extensively used for power storage to deliver energy without utilizing any carbonaceous components. 

In-situ Techniques for Probing Reaction Mechanism

Advanced techniques are performed in-situ for delving deep into the atomic sites of the catalyst to understand the charge transfer and reaction mechanism to enrich more knowledge about exclusive material design. 

Translational Research in Energy & Environment

A catalyst designed or a technology developed at lab scale is then tested whether that can sustain the industrial harsh conditions. After the technology succeeds in lab-scale, it is then scaled up and can be implemented for industrial applications. 

Artificial Intelligence & Machine Learning

Artificial Intelligence (AI) has the potential to deliver breakthroughs in developing and deploying sustainable energy techniques. Machine Learning (ML) and Robotic Synthesis are ideally suited to accurately predict important chemical descriptors and accelerate the development process of new and efficient materials. It is expected that AI could bring up new materials that may revolutionize the energy industry.

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