Simulation of XYmodel and ISING model of graphene-like lattice with Metropolis Monte Carlo
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Updated
Jun 19, 2017 - C++
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thermal-dynamics
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Sovereign AI for smart, self-learning buildings • Edge-native • 25–35 % energy savings
sustainability reinforcement-learning predictive-modeling energy-efficiency building-automation edge-computing thermal-dynamics occupancy-modeling smart-building digital-twin adaptive-systems hvac-control embedded-ai green-tech energy-optimization onnx-runtime generative-ai real-time-inference autonomous-control rl-control
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Apr 2, 2026 - HTML
a browser app that calculates the precise average and standard deviation of all the choices for the np-complete problems in polynomial time. It treats the problems as a thermal dynamic system and assign probabilities to witnesses using the Boltzmann distribution. The partition function is approximated using the entropy and a Taylor expansion.
entropy statistical-mechanics np-hard np-complete tsp-problem vertex-cover computational-complexity travelling-salesman-problem tsp-solver 3-sat 3-satisfiability hamiltonian-cycles thermal-dynamics boltzmann-distribution np-hard-problem independent-set partition-function
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Aug 27, 2026 - JavaScript
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