Quickly generating and predicting inorganic crystal structures is important for the discovery of new materials, which can target applications such as energy or electronic devices.
Materials Science
Second, our manuscript demonstrates how artificial intelligence can act as a source of inspiration for the scientific discoveries of new actionable concepts in physics.
Quantum Physics
Geometric deep learning has been revolutionizing the molecular modeling field.
Chemical Physics Biomolecules Quantum Physics
In this paper the basic functionality of PyPSA is described, including the formulation of the full power flow equations and the multi-period optimisation of operation and investment with linear power flow equations.
Physics and Society
Defects are a universal feature of crystalline solids, dictating the key properties and performance of many functional materials.
Materials Science Chemical Physics Computational Physics
In this chapter, we discuss urban mobility from a complexity science perspective.
Physics and Society Computers and Society
We introduce HepLean, an open-source project to digitalise definitions, theorems, proofs, and calculations in high energy physics using the interactive theorem prover Lean 4.
High Energy Physics - Phenomenology Logic in Computer Science High Energy Physics - Theory
Anisotropy in crystals plays a pivotal role in many technological applications.
Materials Science
We introduce PennyLane's Lightning suite, a collection of high-performance state-vector simulators targeting CPU, GPU, and HPC-native architectures and workloads.
Quantum Physics Distributed, Parallel, and Cluster Computing Emerging Technologies Computational Physics
The Kondo effect is a prototypical quantum phenomenon arising from the interaction between localized electrons in a magnetic impurity and itinerant electrons in a metallic host.
Strongly Correlated Electrons Materials Science Chemical Physics Computational Physics