In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...
In petroleum geophysics, well logs are fundamental for subsurface characterization; however, missing logs frequently occur due to tool failure, legacy data gaps, or economic constraints, limiting ...
This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...
BurnMan is a free, open-source toolkit written in Python. It is designed to compute thermodynamic and thermoelastic properties of geological and planetary materials — from pure mineral ``endmembers'', ...
Homology modeling is a widely used computational technique for predicting the three-dimensional (3D) structures of proteins based on known templates,evolutionary relationships to provide structural ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In chemistry, analyzing spectra through peak fitting is a crucial task that helps ...
Chemistry simulations using interactive graphic user interfaces (GUIs) represent uniquely effective and safe tools to support multidimensional learning. Computer literacy and coding skills have become ...