Answer Set Programming (ASP) is a declarative paradigm rooted in logic programming and non-monotonic reasoning, in which problems are encoded as logic programmes whose stable models, or “answer sets”, ...
A mathematician from RUDN University developed a matrix representation of set functions. This approach is vivid and easy to check, and it makes the calculations easier. Among other things, the new ...
Foundation machine learning interatomic potentials (MLIPs) have emerged as powerful tools for atomistic simulation, yet different models encode chemical environments in incompatible latent spaces, ...