A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Nature Research Intelligence Topics Topic summaries Engineering Fluid Mechanics and Thermal Engineering Computational Methods in Fluid Flow, Heat and Mass Transfer Computational methods are now a ...
A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...
Beyond efficiency gains, these methods also lay the foundation for digital twin technologies, offering powerful tools for prediction, diagnosis, and optimization. Overall, the study points toward a ...
New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for ...
The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.
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Computational method can calculate forces between large molecules with unprecedented accuracy
A puzzle in theoretical chemistry has been solved at TU Wien: A new computational method now makes it possible to calculate the forces between large molecules with unprecedented accuracy. Subscribe to ...
Using a new artificial intelligence method, researchers at Columbia University Vagelos College of Physicians and Surgeons can accurately predict the activity of genes within any human cell, ...
Scientists at La Jolla Institute for Immunology (LJI) have developed a new computational method for linking molecular marks on our DNA to gene activity. Their work may help researchers connect genes ...
Computational methods are now a cornerstone in the study of fluid flow, heat transfer and mass transfer phenomena, underpinning modern simulations that inform both fundamental research and engineering ...
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