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Explores the Non-equilibrium GLE sampling method for atomistic modeling and discusses S-like thermostats, quantum thermostat, anharmonic systems, and zero-point energy leakage.
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Explores the quasi-stationary distribution approach in molecular dynamics modeling, covering Langevin dynamics, metastability, and kinetic Monte Carlo models.
Explores Neuromorphic Computing with Artificial Spin Systems, discussing the need for new computing paradigms and the potential of artificial spin systems for neuromorphic computing applications.
Explores electron behavior in an electron gas and the periodic arrangement of atoms in crystalline solids, along with density of states in various dimensions and energy bands.
