Trending Research
Modified Shallow Water Equations for significantly varying seabeds
The novel system is a non-dispersive non-hydrostatic extension of the classical Saint-Venant equations.
Classical Physics Analysis of PDEs Numerical Analysis Computational Physics Fluid Dynamics
Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties
txie-93/cgcnn
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Phys. Rev. Lett. 2017
The use of machine learning methods for accelerating the design of crystalline materials usually requires manually constructed feature vectors or complex transformation of atom coordinates to input the crystal structure, which either constrains the model to certain crystal types or makes it difficult to provide chemical insights.
Ranked #3 on
Band Gap
on Materials Project
Band Gap
Formation Energy
Materials Science
Investigating Quantum Approximate Optimization Algorithms under Bang-bang Protocols
google-research/google-research
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The quantum approximate optimization algorithm (QAOA) is widely seen as a possible usage of noisy intermediate-scale quantum (NISQ) devices.
Quantum Physics
Quantum Information Effects
We study the two dual quantum information effects to manipulate the amount of information in quantum computation: hiding and allocation.
Quantum Physics Logic in Computer Science Programming Languages
Scqubits: a Python package for superconducting qubits
$\textbf{scqubits}$ is an open-source Python package for simulating and analyzing superconducting circuits.
Quantum Physics
Stim: a fast stabilizer circuit simulator
This paper presents ``Stim", a fast simulator for quantum stabilizer circuits.
Quantum Physics
QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA
Understanding the best known parameters, performance, and systematic behavior of the Quantum Approximate Optimization Algorithm (QAOA) remain open research questions, even as the algorithm gains popularity.
Quantum Physics Emerging Technologies
Lily Pad: Towards Real-time Interactive Computational Fluid Dynamics
Despite the fact that computational fluid dynamics (CFD) software is now (relatively) fast and freely available, it is still amazingly difficult to use.
Computational Physics
Visualizing and Interpreting Unsupervised Solar Wind Classifications
The manual and semi-automatic classification of millions of hours of solar wind data from multiple missions can be replaced by automatic algorithms that can discover, in mountains of multi-dimensional data, the real differences in the solar wind properties.
Space Physics Solar and Stellar Astrophysics
Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
Jianxun-Wang/Physics-constrained-Bayesian-deep-learning
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In many applications, flow measurements are usually sparse and possibly noisy.
Computational Physics Data Analysis, Statistics and Probability Fluid Dynamics