I am a software developer specialized in Compilers, Security, and Graphics. I recently saw Project Hail Mary, and it was amaze amaze amaze! So now, I'm reading the book. In the movie, Grace translates ...

This work introduces a model-agnostic framework for training and inference to enable accurate partial differential equation solving (down to double precision) for problems with arbitrary sizes and ...

Nowadays producing 1 kg of steel yields 1.3 kg of CO 2. Efficiency and environmental impact are largely determined by how heat is managed in furnaces, specifically through the thermal conductivity of ...

Uncertainpy is a python toolbox for uncertainty quantification and sensitivity analysis tailored towards computational neuroscience. Uncertainpy is model independent and treats the model as a black ...

density (i.e. in situ density) sw.dens(SP,t,p) gsw.rho_CT(SA,CT,p), or gsw.rho(SA,t,p) potential density sw.pden(SP,t,p,pr) gsw.rho_CT(SA,CT,pr) potential temperature ...

Wolfram Alpha is probably the most useful site on the internet. It's not a search engine, it's not an encyclopedia, and it's not a calculator, but it's a little bit of all of that. It's really the ...

Abstract: Partial differential equations (PDEs) are ubiquitous to the mathematical description of physical phenomena. Typical examples describe the evolution of a field in time as a function of its ...