BACKGROUND: Plants are always exposed to a variety of stressful environments, including heat and drought stress, which severely impact the growth, development, and productivity of the plants. To overcome such challenges, plants have evolved diverse a...
Digital melting curve analysis (dMCA) represents a breakthrough technology for multiplexed nucleic acid detection within limited fluorescence channels, utilizing thermal melting imaging postdigital PCR. However, conventional dMCA suffers from accurac...
Journal of chemical information and modeling
Nov 3, 2025
Recent years have witnessed major advances in polymer informatics, yet accurately predicting polymer properties, such as the glass transition temperature (), remains a challenge. Language models like BERT have been leveraged to derive embeddings from...
The demand for sustainable food packaging methods has increased because of rising ecological issues and customer demand for eco-friendly products. Improving food safety and extending shelf life are essential targets for the food industry, which requi...
Journal of chemical information and modeling
Jul 6, 2025
Artificial intelligence (AI) plays a significant role in advancing polymer science and engineering. Considering the critical role of the glass transition temperature () in determining the physical properties of polymers, this study systematically inv...
International journal of molecular sciences
Mar 18, 2025
This paper develops a machine learning methodology for the rapid and robust prediction of the glass transition temperature (Tg) for polymers for the targeted application of sustainable high-temperature polymers. The machine learning framework combine...
Journal of chemical information and modeling
Dec 9, 2024
With the advancement of deep learning (DL) methods in chemistry and materials science, the interpretability of DL models has become a critical issue in elucidating quantitative (molecular) structure-property relationships. Although attention mechanis...
Machine learning can be used to predict the properties of polymers and explore vast chemical spaces. However, the limited number of available experimental datasets hinders the enhancement of the predictive performance of a model. This study proposes ...
Journal of chemical information and modeling
Jul 24, 2023
Knowledge of critical properties, such as critical temperature, pressure, density, as well as acentric factor, is essential to calculate thermo-physical properties of chemical compounds. Experiments to determine critical properties and acentric facto...
Ultraviolet (UV)-curable thermoset shape memory polymers (TSMPs) with high recovery stress but mild glass transition temperature () are highly desired for 3D/4D printing lightweight load-bearing structures and devices. However, a bottleneck is that h...
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