A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
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Updated
Jun 4, 2024
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
lindemann is a python package to calculate the Lindemann index of a lammps trajectory
Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.
Mathematica package for evaluation of the bounce action with multiple scalar fields
CUDA Vicsek model simulator
Studying the Ising model phase transition using PCA.
Detecting phase transitions from Quantum Monte Carlo datasets using the "learning by confusion" (LbC) technique. Training CNNs in PyTorch to classify phases of matter in an electron-phonon model.
A demo to simulate 2D spin lattices with different shapes, boundary conditions, models and algorithms
The emergence of eukaryotes as an evolutionary algorithmic phase transition
Investigating cluster dynamics in models of patchy ecosystems
2D Ising model in a square lattice with Metropolis-Hastings algorithm and sequential update.
Probabilistic PCA for missing data: learning curves shows a phase transition and missing rate acts as an effective reduction in the signal-to-noise ratio, not the sample size.
Exploring the relation between fractals and phase transitions.
Jupyter Notebook tab and raw Julia script to simulate the Phi-4 model in a square lattice (d=2) .
Statistical Modelling for the Problem related to the field of Classical and Quantum Mechanics.
2D simulation of confluent cell collectives based on a coarse-grained bead-spring model
Computation of thermodynamic properties of crystals from ab initio calculation of static energies and vibrational frequencies.
project home page of dyGiLa dynamic GL eqns solver project
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