Cancer is one of the leading causes of death worldwide, making early detection and
accurate diagnosis critical for effective treatment and improved patient outcomes. In recent …

Machine learning (ML) and artificial intelligence (AI) methods are emerging as promising
technologies for enhancing the performance of low‐cost photovoltaic (PV) cells in …

Potential candidates for photovoltaic applications can be found using chemical similarity
analysis. Compounds with similar structural characteristics may perform similarly. Designing …

Designing molecules for drugs has been a hot topic for many decades. However, it is hard
and expensive to find a new molecule. Thus, the cost of the final drug is also increased …

Designing of molecules for drugs is important topic from many decades. The search of new
drugs is very hard, and it is expensive process. Computer assisted framework can provide …

Nonfullerene-based organic solar cells can be utilized as favorable photovoltaic and
optoelectronic devices due to their enhanced life span and efficiency. In this research, seven …

Designing molecules for pharmaceutical purposes has been a significant focus for several
decades. The pursuit of novel drugs is an arduous and financially demanding undertaking …

Data-driven material design has gained the position of “fourth paradigm” with the first three
being experiments, theory, and simulation. The statistical analysis and visualization of data …

Organic solar cells (OSCs) have drawn a lot of interests because of their distinctive qualities,
including flexibility and tunability. In present study, a detailed data-driven framework is …

Organic solar cells (OSCs) are ecofriendly and an inexpensive source of electricity
production. However, high-throughput screening and designing new materials without …