It started merely as tabular representation of chemical elements, later got strengthened with quantum mechanical description of atomic structure and recent studies have revealed that periodic table can be formu
Biological patterns: From a computer science point of view, the protein structure can be viewed as a set of elements. Each element can be an atom, an amino acid residue or a secondary structure fragment. Hence, several graph representations have been developed to preprocess protein structure, ra...
In this work boxplots are used to analyze the periodic trends of the representative elements of the periodic table. The properties considered are atomic radius (size), first ionization energy (the energy required to remove an electron from a gaseous atom), electron affinity (the energy change ...
High AUC scores can be observed in the diagonal of the matrix, i.e. where training and testing data come from the same time points. When looking at off-diagonal elements, two sustained processes can be observed with an early peak around 200 ms and 800 ms after target presentation, and a...
To match doped materials to their hosts, we encoded the normalized doped formulas into composition vectors (sparse vector with number of corresponding elements at each site), followed by mapping to existing host composition vectors via cosine similarity. Host materials with the highest cosine ...
Mass Number: In the early 1800s, as a part of his research on atoms, John Dalton determined the atomic weights of elements. The early Periodic table developed by Mendeleev was based on Atomic weights of elements. However, after discovering the nucleus, elements in the periodic table were ...
or quasiperiodic orbits [41,42]. Additional features of LE, even non-direct, correspond to properties of the dynamical system. For example, the mean exponent determines the rate of contraction of full volume elements and is similar to the KS entropy [43]. The LE variance measures ...
of energy decomposed operator matrix elements (ENDOME), combined with radially decomposed projected density of states (RAE-PDOS), to predict quasiparticle (QP) band structures60, and the use of spectral operator representations to predict material transparency61. However, the choice of descriptors in...
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The completeQRVmodel is given by equations(1)–(6), (11) and (13)–(14). This set of equations contains the most typical elements considered for modellingQRVs and may be considered a good candidate for aSGM. Nonetheless, one problem with this representation is that it uses two reference ...