Trending Research
A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
lululxvi/deepxde
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Neural operators can learn nonlinear mappings between function spaces and offer a new simulation paradigm for real-time prediction of complex dynamics for realistic diverse applications as well as for system identification in science and engineering.
Computational Physics
Social Force Model for Pedestrian Dynamics
The corresponding force concept is discussed in more detail and can be also applied to the description of other behaviors.
Statistical Mechanics Pattern Formation and Solitons patt-sol
Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning
For 35 years, {\it ab initio} molecular dynamics (AIMD) has been the method of choice for modeling complex atomistic phenomena from first principles.
Computational Physics
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
HotQCD on Multi-GPU Systems
We present $\texttt{SIMULATeQCD}$, HotQCD's software for performing lattice QCD calculations on GPUs.
High Energy Physics - Lattice
PyMatching: A Python package for decoding quantum codes with minimum-weight perfect matching
This paper introduces PyMatching, a fast open-source Python package for decoding quantum error-correcting codes with the minimum-weight perfect matching (MWPM) algorithm.
Quantum Physics
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 #4 on
Band Gap
on Materials Project
Band Gap
Formation Energy
Materials Science
Intel Quantum Simulator: A cloud-ready high-performance simulator of quantum circuits
Classical simulation of quantum computers will continue to play an essential role in the progress of quantum information science, both for numerical studies of quantum algorithms and for modelings noise and errors.
Quantum Physics Distributed, Parallel, and Cluster Computing Computational Physics
Trackintel: An open-source Python library for human mobility analysis
Trackintel can serve as an essential tool to standardize mobility data analysis and increase the transparency and comparability of novel research on human mobility.
Physics and Society
Simulating the Sycamore quantum supremacy circuits
jcmgray/cotengra
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We propose a general tensor network method for simulating quantum circuits.
Quantum Physics Computational Physics
