The aim of this study was to characterize the bioadsorbent present and how it can be used in
adsorption-based waste disposal of the toxic cationic dyes study as well, methylene blue …

The development of machine learning (ML) provides a promising solution to guarantee the
structural integrity of critical components during service period. However, considering the …

Out-of-equilibrium electrochemical reaction mechanisms are notoriously difficult to
characterize. However, such reactions are critical for a range of technological applications …

Autonomous reaction network exploration algorithms offer a systematic approach to explore
mechanisms of complex chemical processes. However, the resulting reaction networks are …

Nonequilibrium statistical mechanics exhibit a variety of complex phenomena far from
equilibrium. It inherits challenges of equilibrium, including accurately describing the joint …

The photon upconverting properties of lanthanide-doped nanoparticles drive their
applications in imaging, optoelectronics, and additive manufacturing. To maximize their …

Small molecules exhibiting desirable property profiles are often discovered through an
iterative process of designing, synthesizing and testing sets of molecules. The selection of …

Synthesis remains a challenge for advancing materials science. A key focus of this
challenge is how to enable selective synthesis, particularly as it pertains to metastable …

Chemical reactions serve as foundational building blocks for organic chemistry and drug
design. In the era of large AI models, data-driven approaches have emerged to innovate the …

Artificial Neural Networks (ANNs) are transforming how we understand chemical mixtures,
providing an expressive view of the chemical space and multiscale processes. Their …