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Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Explores fundamental principles in scientific research, the impact of computers, numerical algorithms, and deep learning in solving high-dimensional problems.
Explores the energetic principles of molecular interactions in biomolecules, focusing on noncovalent interactions and the 3D structure of nucleic acids.
Explores biology fundamentals, proteins, lipids, and DNA as synthetic materials, covering cell structure, membrane composition, protein production, DNA structure, and tissue engineering.
Explores protein structure determination using X-ray crystallography and NMR spectroscopy, covering historical significance, crystal formation, diffraction patterns, and challenges in crystallization.
