A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Metal-organic frameworks (MOFs) are porous materials that can be applied to modern technologies in energy storage, gas separation, carbon dioxide capture, catalysis, and many other areas. There are an ...
In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...
Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.
Computational modeling and simulation of nanomaterials strongly complement physical experiments. They enable the prediction of characteristics and processes under conditions difficult to replicate or ...
Forbes contributors publish independent expert analyses and insights. I cover emerging technologies with a focus on infrastructure and AI Zyphra is a Palo Alto-based startup founded in 2020. The ...
Over the past decade, structural biology has been profoundly transformed by advances in computational power, algorithmic ...
Faculty opportunities in Computational Modeling, Simulation, and Energy Sustainability. Conduct pioneering research in reservoir simulation, optimization, and decarbonization. Collaborate with ...
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