This article provides a comprehensive overview of the transformative impact of machine learning (ML) on heterogeneous catalyst design, a cornerstone for sustainable chemical production and energy technologies.
Active learning (AL) is transforming computational and experimental chemistry by creating intelligent, self-improving workflows that drastically reduce resource consumption.
This article provides a comprehensive assessment of alternative periodic table designs and their specific utility for researchers, scientists, and drug development professionals.
This article examines the critical evolution of atomic weights from fixed constants to variable, sample-dependent quantities, a paradigm shift driven by the principles of modern periodic law.
This article explores the critical phenomenon of unexpected chemical behavior and deviations from periodicity, a subject of paramount importance for researchers and professionals in drug development.
This article provides a comprehensive analysis of anomalous pairs in the periodic table, tracing their journey from historical classification puzzles to their resolution through modern atomic theory.
This guide provides researchers, scientists, and drug development professionals with a comprehensive framework for leveraging the inorganic data within the CRC Handbook of Chemistry and Physics.
This article provides a comprehensive guide to preparative inorganic chemistry, bridging foundational handbook techniques with cutting-edge advancements.
This guide provides researchers, scientists, and drug development professionals with a comprehensive overview of accessing and utilizing chemical element and compound data from PubChem.
This article provides a comprehensive guide to IUPAC's pivotal role in standardizing chemical nomenclature and the periodic table, tailored for researchers and drug development professionals.