Nature

Computational prediction of small-molecule catalysts

Most organic and organometallic catalysts have been discovered through serendipity or trial and error, rather than by rational design. Computational methods, however, are rapidly becoming a versatile ...
GitHub

# Computational-Fluid-Dynamics-Machine-Learning-Examples

This repo contains tutorial type programs showing some basic ways Neural Networks can be applied to CFD. The purpose of this is to give those who are familiar with CFD but not Neural Networks a few ...
Nature

Computational predictions of energy materials using density functional theory

In 1929, the physicist Paul Dirac wrote, “The underlying physical laws necessary for the mathematical theory of a large part of physics and the whole of chemistry are thus completely known, and the ...
Carnegie Institution for Science

Improving computational efficiency in large linear inverse problems: an example from carbon dioxide flux estimation

Addressing a variety of questions within Earth science disciplines entails the inference of the spatiotemporal distribution of parameters of interest based on observations of related quantities. Such ...
Frontiers

Computational neurobiology is a useful tool in translational neurology: the example of ataxia

Hereditary ataxia, or motor incoordination, affects approximately 150,000 Americans and hundreds of thousands of individuals worldwide with onset from as early as mid-childhood. Affected individuals ...
GitHub

# Computational-physics-example-code

These course materials are available under the Creative Commons Attribution NonCommercial ShareAlike (CC-NC-SA) license (http://www.tldrlegal.com/l/CC-NC-SA).
Scientific Research Publishing

Point Transformations and Relationships among Linear Anomalous Diffusion, Normal Diffusion and the Central Limit Theorem ()

1 Department of Physics, University of Houston, Houston, Texas, USA. 2 Department of Mathematics, University of Houston, Houston, Texas, USA. 3 Department of ...