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 ...
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 ...
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 ...
New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for ...
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 ...
The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.
Hosted on MSN
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, ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results