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Knowledge and Skills Statement

Science concepts. The student understands the development of the Periodic Table and applies its predictive power.

The further explanation is designed to be a resource for educators that helps them better understand the topic their students are learning. Further explanations may be written at a more complex level than would be expected for students at the grade level.

Some major chemical properties include flammability, toxicity, heat of combustion, pH value, rate of radioactive decay, and chemical stability.

Glossary terms and definitions are consistent across kindergarten through high school in the TEKS Guide. The definitions are intended to give educators a common understanding of the terms regardless of what grade level they teach. Glossary definitions are not intended for use with students.

any of the six chemical elements that make up Group 1 (Ia) of the periodic table comprising lithium (Li), sodium (Na), potassium (K), rubidium (Rb), cesium (Cs), and francium (Fr)

any of the divalent strongly basic metals of Group 2 of the periodic table comprising beryllium (Be), magnesium (mg), calcium (Ca), strontium (Sr), barium (Ba), and radium (Ra)

a pure substance that is made up of one type of atom

any of the chemical elements fluorine (F), chlorine (Cl), bromine (BA), iodine (I), and astatine (At)

any of a group of rare gases that include helium (He), neon (Ne), argon (Ar), krypton (Kr), xenon (Xe), and usually radon (Rn); exhibit great stability and extremely low reaction rates

an organizational chart of all the known elements on Earth, organized based on the physical and chemical properties of each

any of various metallic elements such as chromium (Cr), iron (Fe), and nickel (Ni) that have valence electrons in two shells instead of only one

a number of electrons (between one and eight) in the outer shell of an atom that are responsible for the chemical properties of the atom

Research

"Onwuli, Anthony,  Ashish V. Hegde, Kevin V. T. Nguyen, Keith T. Butler, and Aron Walsh. "Element Similarity in High-Dimensional Materials Representations." Digital Discovery 2, no. 5 (2023): 1558-1564.doi:10.1039/D3DD00121K. "

Summary:

The atomic number alone is insufficient for training statistical machine learning models to describe and extract composition-structure-property relationships of the elements. Here, we assess the similarity and correlations contained within high-dimensional local and distributed representations of the chemical elements. These include known physical properties, crystal structure analysis, natural language processing, and deep learning models.