Top Papers
Applications of Near-Term Photonic Quantum Computers: Software and Algorithms
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing.
Quantum Physics Computational Physics
Strawberry Fields: A Software Platform for Photonic Quantum Computing
We introduce Strawberry Fields, an open-source quantum programming architecture for light-based quantum computers.
Quantum Physics Computational Physics
SchNetPack: A Deep Learning Toolbox For Atomistic Systems
atomistic-machine-learning/schnetpack
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SchNetPack is a toolbox for the development and application of deep neural networks to the prediction of potential energy surfaces and other quantum-chemical properties of molecules and materials.
Computational Physics Chemical Physics
SchNet - a deep learning architecture for molecules and materials
atomistic-machine-learning/schnetpack
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J. Chem. Phys. 2017
Deep learning has led to a paradigm shift in artificial intelligence, including web, text and image search, speech recognition, as well as bioinformatics, with growing impact in chemical physics.
Ranked #6 on
Formation Energy
on Materials Project
Formation Energy
Chemical Physics
Materials Science
Fast unfolding of communities in large networks
We propose a simple method to extract the community structure of large networks.
Physics and Society Statistical Mechanics Computers and Society Data Structures and Algorithms
Classification and Construction of Topological Phases of Quantum Matter
The power of the framework is demonstrated in a number of applications: (1) the classification and construction of 3D fermionic SPT phases in Wigner-Dyson classes A and AII with glide symmetry, (2) the classification and construction of 3D bosonic SPT phases with space-group symmetries for all 230 space groups, (3) the derivation of a Mayer-Vietoris sequence relating the classification of SPT phases with and without reflection symmetry, and (4) an interpretation of the structure of general crystalline SPT phases via the Atiyah-Hirzebruch spectral sequence.
Strongly Correlated Electrons High Energy Physics - Theory Mathematical Physics Mathematical Physics Quantum Physics
Scikit-mobility: a Python library for the analysis, generation and risk assessment of mobility data
The last decade has witnessed the emergence of massive mobility data sets, such as tracks generated by GPS devices, call detail records, and geo-tagged posts from social media platforms.
Physics and Society
Spectral Control via Multi-Species Effects in PW-Class Laser-Ion Acceleration
Laser-ion acceleration with ultra-short pulse, PW-class lasers is dominated by non-thermal, intra-pulse plasma dynamics.
Plasma Physics Accelerator Physics Computational Physics
Quantitatively consistent computation of coherent and incoherent radiation in particle-in-cell codes - a general form factor formalism for macro-particles
Quantitative predictions from synthetic radiation diagnostics often have to consider all accelerated particles.
Computational Physics Plasma Physics
Visualizing the Radiation of the Kelvin-Helmholtz Instability
Emerging new technologies in plasma simulations allow tracking billions of particles while computing their radiative spectra.
Plasma Physics Computational Physics 85-08
