Interatomic Potentials for Materials

Related lectures (30)

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Discusses simulating quantum many-body dynamics using artificial neural networks to overcome computational challenges and stabilize solutions.

Explores the mechanics of dislocations in materials, including their movement, interaction, and impact on material properties.

Covers stress intensity, fracture, and toughness of materials, including the behavior of ductile and brittle materials.

Explores deformation, creep, material properties, mechanical tests, ceramics, polymers, metals, and atomic bonds.

Explores how materials respond to repeated stress cycles, leading to potential rupture and the distinction between high-cycle and low-cycle fatigue.

Covers debugging techniques in Python and computational methods like frequency power calculation and bird sound detection.

Explores fracture, toughness, and crack propagation in materials, emphasizing surface energy and material resistance.

Explores stress intensity factor in fracture mechanics, crack propagation prediction, and material ténacité.

Explores deformation mechanisms, cyclic loading, and fatigue phenomena in materials.

Explores scientific computing in neuroscience, emphasizing the simulation of neurons and networks using tools like NEURON, NEST, and BRIAN.