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Carbon Nanotube Sponge Cathode Unlocks Potential in ZIHCs

In a significant advancement for energy storage technologies, researchers have developed a novel flexible carbon nanotube@porous carbon (CNT@PC) sponge cathode material, enhancing the charging performance and efficiency of zinc ion hybrid capacitors (ZIHCs). ....

Skyla Bailynov , Boyu Yang , Skyla Baily , Nanotube Sponge Cathode Unlocks Potential , Zinc Ion Hybrid , Advanced Materials Show ,

Transforming Byproducts into Bioplastics

At The Greener Manufacturing Show 2023, we spoke with KUORI CEO and Founder Sarah Harbarth about the growth and ambitions of the company as it develops its novel materials. ....

Sarah Harbarth , Skyla Baily , Sarah Harbarthceo Founder , Fachhochschule Nordwestschweiz , Skyla Bailynov , European Union , Greener Manufacturing Show , Founder Sarah Harbarth , Scientific Assistant , Wood Byproducts ,

Multi-Synaptic Photonic Networks Unlock Neuromorphic Computing

Researchers have recently developed an advanced form of photonic spiking neural networks (SNNs), a significant step in neuromorphic computing. This new approach utilizes a multi-synaptic photonic SNN, combining modified remote supervised learning with delay-weight co-training for pattern classification. ....

South Korea , Skyla Bailynov , Skyla Baily , Synaptic Photonic Networks Unlock New Horizons , Opto Electron Sci ,

Changing the Game in Membrane Emulsification

A recent study published in Chemical Engineering Science has marked a significant advancement in membrane emulsification technology, crucial for sectors like pharmaceuticals, food processing, and cosmetics. ....

Robert Ruidl Shutterstock , Skyla Bailynov , Jingcheng Li , Skyla Baily , Empirical Model Development , Membrane Technology , Chemical Engineering Science , New Predictive Model , Empirical Model , Industry Focus , Advancing Membrane , Chemical Engineering ,

Deep Learning's Role in Phase Identification

In a pioneering move, Tokyo University of Science has made a remarkable stride in material science. Their latest development involves a deep learning model adept at pinpointing new quasicrystalline phases in multiphase crystalline materials, a feat previously mired in complexity and time constraints. ....

Tsunetomo Yamada , Skyla Bailynov , Skyla Baily , Tokyo University Of Science , Tokyo University , Industry Focus , Crystalline Material , Junior Associate Professor Tsunetomo Yamada ,