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Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures

Ramprasad et al. | Mar 18, 2020

Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures

In this study, the authors test whether providing a larger dataset of glass transition temperatures (Tg) to train the machine-learning platform Polymer Genome would improve its accuracy. Polymer Genome is a machine learning based data-driven informatics platform for polymer property prediction and Tg is one property needed to design new polymers in silico. They found that training the model with their larger, curated dataset improved the algorithm's Tg, providing valuable improvements to this useful platform.

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Modeling Energy Produced by Solar Panels

Meister et al. | Jan 13, 2018

Modeling Energy Produced by Solar Panels

In this study, the authors test the effect that the tilt angle of a solar panel has on the amount of energy it generates. This investigation highlights a simple way that people can harvest renewable energy more efficiently and effectively.

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Investigating the functionality of an Eco-Cooler made of plastic bottles

Tong et al. | Jul 22, 2026

Investigating the functionality of an Eco-Cooler made of plastic bottles
Image credit: Tong, Tong, and Migenes

In the study, the authors looked at an environmentally friendly alternative to A/C systems/cooling. They wanted to test the effectiveness of this cooling system called the Eco-Cooler as well as see if they could improve it. They found that the Eco-Cooler had minimal cooling, while their altered Eco-Cooler system had some cooling. This results shows the use of water helps cool the environment a lot more.

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Measuring the effect of early universe dark matter on the primordial values of helium-4 and deuterium

Pal et al. | Apr 29, 2026

Measuring the effect of early universe dark matter on the primordial values of helium-4 and deuterium

Recent observations by the “Extremely Metal-Poor Representatives Explored by the Subaru Survey” (EMPRESS) collaboration found normal deuterium levels but unexpectedly low helium-4, challenging current cosmological theories. This study used simulations with the PRyMordial package to test whether dark matter particles interacting with neutrinos in the early universe could explain the discrepancy.

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