Results 251 to 260 of about 225,423 (289)

PDE

2021
openaire   +1 more source

PDE

2006
openaire   +2 more sources

Learning PDEs

PDEs are considered to be language of physics as they provide mathematical descriptions of a whole range of physical phenomena. The complexity and prohibitive computational cost of traditional physics-based numerical schemes necessitates the search for fast and efficient surrogates, based on machine learning.
openaire   +1 more source

DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm

Journal of Computational Physics, 2020
Hao Xu, Dongxiao Zhang
exaly  

Structural basis of recognition of farnesylated and methylated KRAS4b by PDEδ

Proceedings of the National Academy of Sciences of the United States of America, 2016
Srisathiyanarayanan Dharmaiah, Rodolfo Ghirlando, Dominic Esposito   +2 more
exaly  

Structure-based development of PDEδ inhibitors

Biological Chemistry, 2017
Pablo Martín-Gago, Alfred Wittinghofer, Herbert Waldmann   +2 more
exaly  

Techniques for interactive design using the PDE method

ACM Transactions on Graphics, 1999
Hassan Ugail
exaly  

QUANTIZED PDE's II: NONCOMMUTATIVE PDE's

2004
openaire   +1 more source

First-Order PDEs

1992
David Bleecker, George Csordas
openaire   +1 more source

PDE inhibitors currently in early clinical trials for the treatment of asthma

Expert Opinion on Investigational Drugs, 2014
Maria Gabriella Matera, Clive Page, Mario Cazzola   +2 more
exaly