Code which implements Monte-Carlo permutation of hard constraints in a grid-less particle simulation. If the constraint flipping moves obey detailed balance, the coarse-grained dynamics should obey an effective potential which is different than the microscopic hard constraint potentials. Because of this, this method can exactly conserve momentum…
A lattice Monte-Carlo model by Nathaniel Virgo where grid state energies are dependent on the specific neighborhood counts rather than being strictly additive. This implementation has a CUDA and CPU version.
This is a general computational framework for graphically constructing various Origins of Life models such as generative chemistries, MD-chemistries (such as Tim Hutton's model), cellular automata, etc.
This is a well-mixed reactor model of a 'generative' chemistry on strings - that is, the reaction network is generated from stoichiometry and underlying rules (e.g. bond energies, local chemical structure). This type of chemistry effectively self-extends its own reaction network at need.