This comprehensive review discusses the recent progress in synthesis, properties,
applications, 3D printing and machine learning of graphene quantum dots (GQDs) in …

The review highlights possible research topics matching the experimental physics of matter
with advances in electronics to improve the intelligent design and control of innovative smart …

This study employs various machine learning algorithms to model the electrical conductivity
and gas sensing responses of polyaniline/graphene (PANI/Gr) nanocomposites based on a …

An automated high throughput multidimensional reaction screening platform based on an
inline Fourier‐transform infrared spectroscopy is presented. By combining flow chemistry …

Abstract Machines can revolutionize the field of chemistry and material science, driving the
development of new chemistries, increasing productivity, and facilitating reaction scale up …

Due to the complex polymerization technique and statistical composition of the polymer,
tailoring its characteristics is a challenging task. Modeling of the polymerizations can …

Designing polymers with desirable thermal or thermoelectric properties has been a great
goal in the field of organic functional materials. This is widely considered challenging …

ABO3-δ-type perovskites are one of the important oxygen ion conductors because of the
enhanced properties through adjustments to the composition via elemental doping. In this …

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 …

In materials research, structural characterization often requires multiple complementary
techniques to obtain a holistic morphological view of a synthesized material. Depending on …