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 ...
Understanding the structure of crop canopies is essential for optimizing crop production as it significantly influences resource utilization efficiency, yield and stress resistance. While research has ...
The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...
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.
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 ...
Scientists develop a computational method to design molecular qubits with precision, paving the way for advanced quantum technologies. A qubit is the delicate, information-processing heart of a ...
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 ...