A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
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 ...
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 ...
NEW YORK--(BUSINESS WIRE)--Schrödinger, Inc. (Nasdaq: SDGR), whose physics-based computational platform is transforming the way therapeutics and materials are discovered, today announced that it is ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results