Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

conda config --add channels pytorch conda config --add channels rdkit conda config --add channels conda-forge conda config --add channels rmg You can just execute following command to create the conda ...

Engineering asymmetric transmission between left-handed and right-handed circularly polarized light in planar Fabry–Pérot (FP) microcavities would enable a variety of chiral light-matter phenomena, ...

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...

# generate sparse matrices sparsemat --file complex.tess --dir path/to/target/directory # find disorientation angles between neighbouring grains of orders less than N ndisangles --file complex.tess ...

Data is the most valuable resource businesses have in today’s digital age, and a large portion of this data is made up of images. Data scientists can process these images and feed them into machine ...

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Large datasets are becoming more and more common in science, particularly in neuroscience where experimental techniques are rapidly evolving. Obtaining interpretable results from raw data can ...