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Covers challenges in protein design, energy functions, search algorithms, and applications in synthetic biology, emphasizing the importance of protein design and the methods used for designing proteins.
Explores the trends and challenges in modeling complex molecular systems using hierarchical multi-scale approaches, covering length-time scales, atomistic simulations, and force matching techniques.
Explores Car-Parrinello molecular dynamics, a unified approach combining molecular dynamics and density-functional theory for simulating various systems, with a focus on historical background, technical details, and challenges in atomistic simulations.
Introduces path integral molecular dynamics and its applications in quantum mechanics, focusing on nuclear quantum effects and their implications for molecular simulations.
Explores the Non-equilibrium GLE sampling method for atomistic modeling and discusses S-like thermostats, quantum thermostat, anharmonic systems, and zero-point energy leakage.
Explores Computational Molecular Design, focusing on Mathematical Theory, High Performance Computing, and In Vivo Experiments, with an emphasis on quantum chemistry and electron dynamics.
