Crystallization plays a crucial role in defining the quality and functionality of products across
various industries, including pharmaceutical, food and beverage, and chemical …

Direct or indirect consumption of pesticides and their related products by humans and other
living organisms without safe dosing may pose a health risk. The risk may arise after a …

Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy
sources, including biomass, biofuels, engines, and solar power, can revolutionize the …

The accurate prediction of standard vaporization enthalpy (Δ vap H m°) for volatile organic
compounds (VOCs) is of paramount importance in environmental chemistry, industrial …

Stereoselective reactions have played a vital role in the emergence of life, evolution, human
biology, and medicine. However, for a long time, most industrial and academic efforts …

In recent years, the application of machine learning (ML), including deep learning (DL), has
experienced exponential growth, which has promoted data-driven discovery in diverse …

Dendrimers are employed as functional elements in contrast agents and are proposed as
nontoxic vehicles for drug delivery. Toxicity is a property that is to be evaluated for this novel …

Machine learning (ML) can provide decision-making advice for major challenges in science
and engineering, and its rapid development has led to advances in fields like chemistry & …

Abstract Integrating Multidimensional Insights for Enhanced Feature Selection in Energy
Transition Models presents a comprehensive approach to enhancing the energy efficiency …

Abstract Machine Learning (ML) can provide decision-making advice for major challenges in
science and engineering, and its rapid development has led to advances in fields like …