Establishing the structure–property relationship by machine learning (ML) models is
extremely valuable for accelerating the molecular design of polymers. However, existing ML …

One of the biggest obstacles to successful polymer property prediction is an effective
representation that accurately captures the sequence of repeat units in a polymer. Motivated …

The efficient and economical exploitation of polymers with high thermal conductivity (TC) is
essential to solve the issue of heat dissipation in organic devices. Currently, the …

Nature has only provided us with a limited number of biobased and biodegradable building
blocks. Therefore, the fine-tuning of the sustainable polymer properties is expected to be …

Polymers are diverse and versatile materials that have met a wide range of material
application demands. They come in several flavors and architectures (eg, homopolymers …

The designing of new small molecule acceptors (SMAs) for organic solar cells has been a
prominent area of research for many decades. It is challenging to find unique materials due …

One of the key bottlenecks in the development of high voltage electrical systems is the
identification of suitable insulating materials capable of supporting high voltages. Under …

Despite rapid advances in molecular biology, particularly in site-specific genome editing
technologies, such as CRISPR/Cas9 and base editing, financial and logistical challenges …

Block copolymers consisting of immiscible glassy and rubbery blocks have microphase-
separated structures that result in various elastic properties depending on the polymer …

Expanding the pool of stable halide perovskites with attractive optoelectronic properties is
crucial to addressing current limitations in their performance as photovoltaic (PV) absorbers …