Artificial intelligence (AI)-based methods continue to make inroads into accelerated
materials design and development. Here, we review AI-enabled advances made in the …

AI legal assistants based on Large Language Models (LLMs) can provide accessible legal
consulting services, but the hallucination problem poses potential legal risks. This paper …

Language models have contributed to breakthroughs in interdisciplinary research, such as
protein design and molecular dynamics understanding. In this study, we reveal that beyond …

Electrostatic capacitors play a crucial role as energy storage devices in modern electrical
systems. Energy density, the figure of merit for electrostatic capacitors, is primarily …

Synthetic polymers are highly customizable with tailored structures and functionality, yet this
versatility generates challenges in the design of advanced materials due to the size and …

Advances in machine learning (ML) and automated experimentation are poised to vastly
accelerate research in polymer science. Data representation is a critical aspect for enabling …

Abstract Machine learning (ML) models for predicting gas permeability through polymers
have traditionally relied on experimental data. While these models exhibit robustness within …

We present a simulation of various active learning strategies for the discovery of polymer
solar cell donor/acceptor pairs using data extracted from the literature spanning∼ 20 years …

The forward screening and reverse design of drug molecules, inorganic molecules, and
polymers with enhanced properties are vital for accelerating the transition from laboratory …

Language models exhibit a profound aptitude for addressing multimodal and multidomain
challenges, a competency that eludes the majority of off-the-shelf machine learning models …