Commemorates 50 years of CECAM and the Berni J. Alder CECAM Prize, covering milestones in computational methods, quantum mechanics, slip motion, and more.
Covers the use of machine learning to predict the mechanical properties of carbon nanotubes and their composites through multiscale characterization 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.
Explores material lifecycle, properties, sustainability, and design, emphasizing the importance of auditing products for sustainability and discussing the evaluation of consumer products like LEGO.
