Multitask Neural Network for Mapping the Glass Transition and Melting Temperature Space of Homo- and Co-Polyhydroxyalkanoates Using σProfiles Molecular …
Polyhydroxyalkanoates (PHAs) are an emerging type of bioplastic that have the potential to
replace petroleum-based plastics. They are biosynthetizable, biodegradable, and …
replace petroleum-based plastics. They are biosynthetizable, biodegradable, and …
Evaluation of nanoplastics toxicity to the human placenta in systems
Following the discovery of plastics in the human placenta, this study evaluated the toxicity of
ten different nanoplastics (NPs) in the human placenta. Since the placenta performs …
ten different nanoplastics (NPs) in the human placenta. Since the placenta performs …
Bioplastic design using multitask deep neural networks
Non-degradable plastic waste jeopardizes our environment, yet our modern lifestyle and
current technologies are impossible to sustain without plastics. Bio-synthesized and …
current technologies are impossible to sustain without plastics. Bio-synthesized and …
Study on thermal degradation processes of polyethylene terephthalate microplastics using the kinetics and artificial neural networks models
T Chowdhury, Q Wang - Processes, 2023 - mdpi.com
Because of its slow rate of disintegration, plastic debris has steadily risen over time and
contributed to a host of environmental issues. Recycling the world's increasing debris has …
contributed to a host of environmental issues. Recycling the world's increasing debris has …
Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China
HR Lou, X Wang, Y Gao, Q Zeng - BMC Public Health, 2022 - Springer
Background This study aims to explore appropriate model for predicting the disease burden
of pneumoconiosis in Tianjin by comparing the prediction effects of Autoregressive …
of pneumoconiosis in Tianjin by comparing the prediction effects of Autoregressive …
Polymer informatics beyond homopolymers
Polymers are diverse and versatile materials that have met a wide range of material
application demands. They come in several flavors and architectures (eg, homopolymers …
application demands. They come in several flavors and architectures (eg, homopolymers …
Production of D-lactic acid containing polyhydroxyalkanoate polymers in yeast Saccharomyces cerevisiae
A Ylinen, H Maaheimo… - Journal of industrial …, 2021 - academic.oup.com
Polyhydroxyalkanoates (PHAs) provide biodegradable and bio-based alternatives to
conventional plastics. Incorporation of 2-hydroxy acid monomers into polymer, in addition to …
conventional plastics. Incorporation of 2-hydroxy acid monomers into polymer, in addition to …
Traditional artificial neural networks versus deep learning in optimization of material aspects of 3D printing
3D printing of assistive devices requires optimization of material selection, raw materials
formulas, and complex printing processes that have to balance a high number of variable …
formulas, and complex printing processes that have to balance a high number of variable …
Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
This review illuminates the pivotal synergy between machine learning (ML) and
biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, and …
biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, and …
Precipitation evolution of Al-Zn-Mg-Cu-(Ag) alloys with a low Zn/Mg ratio
Q Zhu, X Wu, L Cao, Y Zou, H Song, Y Liu… - Journal of Materials …, 2024 - Elsevier
The influence of minor Ag on the precipitation evolution of the Al-4.2 Zn-2.8 Mg-1.0 Cu
(wt.%) alloy from early stages to over-aged stages at 150° C was investigated. Surprisingly …
(wt.%) alloy from early stages to over-aged stages at 150° C was investigated. Surprisingly …