Graded Symmetry Groups: Plane and Simple

qualcomm-ai-research/geometric-algebra-transformer 8 Jul 2021

The symmetries described by Pin groups are the result of combining a finite number of discrete reflections in (hyper)planes.

Mathematical Physics Robotics Mathematical Physics

0.06 stars / hour

Reviving the Vortex Particle Method: A Stable Formulation for Meshless Large Eddy Simulation

byuflowlab/flowvpm.jl 8 Jun 2022

Finally, the computational efficiency of the scheme is showcased in the simulation of an aircraft rotor in hover, showing our meshless LES to be 100x faster than a mesh-based LES with similar fidelity, while being 10x faster than a low-fidelity unsteady Reynolds-average Navier-Stokes simulation and 1000x faster than a high-fidelity detached-eddy simulation.

Fluid Dynamics

0.05 stars / hour

Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling

materialsvirtuallab/maml 24 Jul 2023

In this work, we present DImensionality-Reduced Encoded Clusters with sTratified (DIRECT) sampling as an approach to select a robust training set of structures from a large and complex configuration space.

Materials Science

0.04 stars / hour

A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data

lululxvi/deepxde 10 Nov 2021

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

0.04 stars / hour

Gradients of parameterized quantum gates using the parameter-shift rule and gate decomposition

yh08037/quantum-neural-network 30 May 2019

The parameter-shift rule is an approach to measuring gradients of quantum circuits with respect to their parameters, which does not require ancilla qubits or controlled operations.

Quantum Physics

0.04 stars / hour

Challenges and opportunities integrating LLAMA into AdePT

alpaka-group/llama 16 Feb 2023

It provides a framework for defining and switching custom memory mappings at compile time to define data layouts and instrument data access, making LLAMA an ideal tool to tackle the memory-related optimization challenges in AdePT.

High Energy Physics - Experiment Computational Physics

0.04 stars / hour

Actuator line modeling of vertical-axis turbines

turbinesFoam/turbinesFoam 4 May 2016

To bridge the gap between high and low fidelity numerical modeling tools for vertical-axis (or cross-flow) turbines (VATs or CFTs), an actuator line model (ALM) was developed and validated for both a high and a medium solidity vertical-axis turbine at rotor diameter Reynolds numbers $Re_D \sim 10^6$.

Fluid Dynamics

0.03 stars / hour

ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data

openbioml/chemnlp 17 Sep 2022

In this work, we present the ChemNLP library that can be used for 1) curating open access datasets for materials and chemistry literature, developing and comparing traditional machine learning, transformers and graph neural network models for 2) classifying and clustering texts, 3) named entity recognition for large-scale text-mining, 4) abstractive summarization for generating titles of articles from abstracts, 5) text generation for suggesting abstracts from titles, 6) integration with density functional theory dataset for identifying potential candidate materials such as superconductors, and 7) web-interface development for text and reference query.

Materials Science Chemical Physics

0.03 stars / hour

Clapeyron.jl: An extensible, open-source fluid-thermodynamics toolkit

ypaul21/clapeyron.jl 21 Jan 2022

Thermodynamic models are often vital when characterising complex systems, particularly natural gas, electrolyte, polymer, pharmaceutical and biological systems.

Computational Physics Chemical Physics

0.03 stars / hour

Optimal synthesis into fixed XX interactions

Qiskit/qiskit-terra 3 Nov 2021

We describe an optimal procedure, as well as its efficient software implementation, for exact and approximate synthesis of two-qubit unitary operations into any prescribed discrete family of XX-type interactions and local gates.

Quantum Physics Symplectic Geometry 81Q99, 53D45

0.03 stars / hour