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Found 8 papers, 3 papers with code
Evolving symbolic density functionals
Systematic development of accurate density functionals has been a decades-long challenge for scientists.
PyCDFT: A Python package for constrained density functional theory
We present PyCDFT, a Python package to compute diabatic states using constrained density functional theory (CDFT).
Materials Science
Quantum simulations of materials on near-term quantum computers
Quantum computers hold promise to enable efficient simulations of the properties of molecules and materials; however, at present they only permit ab initio calculations of a few atoms, due to a limited number of qubits.
Materials Science Chemical Physics Quantum Physics
Breast Cancer Classification with Ultrasound Images Based on SLIC
We first utilize the Region of Interest (ROI) extraction based on Simple Linear Iterative Clustering (SLIC) algorithm and region growing algorithm to extract the ROI at the super-pixel level.
SeFM: A Sequential Feature Point Matching Algorithm for Object 3D Reconstruction
3D reconstruction is a fundamental issue in many applications and the feature point matching problem is a key step while reconstructing target objects.
Quantitatively Evaluating GANs With Divergences Proposed for Training
Generative adversarial networks (GANs) have been extremely effective in approximating complex distributions of high-dimensional, input data samples, and substantial progress has been made in understanding and improving GAN performance in terms of both theory and application.
Generative Adversarial Parallelization
Generative Adversarial Networks have become one of the most studied frameworks for unsupervised learning due to their intuitive formulation.
Theano-MPI: a Theano-based Distributed Training Framework
We develop a scalable and extendable training framework that can utilize GPUs across nodes in a cluster and accelerate the training of deep learning models based on data parallelism.
