Towards realizing nano-enabled precision delivery in plants
Nanocarriers (NCs) that can precisely deliver active agents, nutrients and genetic materials
into plants will make crop agriculture more resilient to climate change and sustainable. As a …
into plants will make crop agriculture more resilient to climate change and sustainable. As a …
Active learning of the thermodynamics-dynamics trade-off in protein condensates
Phase-separated biomolecular condensates exhibit a wide range of dynamic properties,
which depend on the sequences of the constituent proteins and RNAs. However, it is …
which depend on the sequences of the constituent proteins and RNAs. However, it is …
[HTML][HTML] Machine learning for membrane design in energy production, gas separation, and water treatment: a review
Membrane filtration is a major process used in the energy, gas separation, and water
treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use …
treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use …
Heat-Resistant Polymer Discovery by Utilizing Interpretable Graph Neural Network with Small Data
H Qiu, J Wang, X Qiu, X Dai, ZY Sun - Macromolecules, 2024 - ACS Publications
Polymers with exceptional heat resistance are critically valuable in numerous domains,
particularly as essential components of flexible organic light-emitting diodes. Among these …
particularly as essential components of flexible organic light-emitting diodes. Among these …
Synergistic D‐Amino Acids Based Antimicrobial Cocktails Formulated via High‐Throughput Screening and Machine Learning
J Yang, Y Ran, S Liu, C Ren, Y Lou, P Ju… - Advanced …, 2024 - Wiley Online Library
Antimicrobial resistance (AMR) from pathogenic bacterial biofilms has become a global
health issue while developing novel antimicrobials is inefficient and costly. Combining …
health issue while developing novel antimicrobials is inefficient and costly. Combining …
[HTML][HTML] Designing formulations of bio-based, multicomponent epoxy resin systems via machine learning
RQ Albuquerque, F Rothenhäusler, H Ruckdäschel - MRS Bulletin, 2024 - Springer
Petroleum-based epoxy resins are commonly used as a matrix in fiber-reinforced polymer
composites. Bio-based epoxy resin systems could be a more environmentally friendly …
composites. Bio-based epoxy resin systems could be a more environmentally friendly …
[HTML][HTML] Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection
Abstract Machine learning is a powerful means for the rapid development of high-
performance functional materials. In this study, we presented a machine learning workflow …
performance functional materials. In this study, we presented a machine learning workflow …
Machine-Guided Discovery of Acrylate Photopolymer Compositions
Additive manufacturing (AM) can be advanced by the diverse characteristics offered by
thermoplastic and thermoset polymers and the further benefits of copolymerization …
thermoplastic and thermoset polymers and the further benefits of copolymerization …
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 …
Machine Learning Enabled Prediction of High Stiffness 2D Materials
HR Nadella, S Mukherjee, A Anand… - ACS Materials …, 2024 - ACS Publications
Persistent exploration of high stiffness two-dimensional (2D) materials is necessary for
advancements in applications such as nanocomposites, flexible electronics, and resonant …
advancements in applications such as nanocomposites, flexible electronics, and resonant …