BACKGROUND Semiconductor materials feature optical and electronic properties that can
be engineered through their composition and crystal structure. The use of semiconductors …

Many properties of nanoparticles are governed by their shape, size, polydispersity and
surface chemistry. To apply nanoparticles in chemical sensing, medical diagnostics …

The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …

The optimal synthesis of advanced nanomaterials with numerous reaction parameters,
stages, and routes, poses one of the most complex challenges of modern colloidal science …

Over the past decade, the wide-scale adoption of artificial intelligence (AI) and machine
learning (ML) has transformed the landscape of scientific research and development, which …

Many applications requiring both spectral and spatial information at high resolution benefit
from spectral imaging. Although different technical methods have been developed and …

Nanoparticles play irreplaceable roles in optoelectronic sensing, medical therapy, material
science, and chemistry due to their unique properties. There are many synthetic pathways …

Mixed matrix membranes (MMMs) based on metal organic frameworks (MOFs) have been
extensively studied for carbon capture to combat global warming. Here we report the …

Emerging soft machines require high-performance strain sensors to achieve closed-loop
feedback control. Machine learning is a versatile tool to uncover complex correlations …

In materials science, the discovery of recipes that yield nanomaterials with defined optical
properties is costly and time-consuming. In this study, we present a two-step framework for a …