AIMC Topic: Polymers
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Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation.
Environmental science & technology
Dec 16, 2024
Polymeric membranes have been widely used for liquid and gas separation in various industrial applications over the past few decades because of their exceptional versatility and high tunability. Traditional trial-and-error methods for material synthe...
Machine learning strengthened formulation design of pharmaceutical suspensions.
International journal of pharmaceutics
Nov 19, 2024
Many different formulation strategies have been investigated to oppose suboptimal treatment of long-term or chronic conditions, one of which are the nano- and microsuspensions prepared as long-acting injectables to prolong the release of an active ph...
3D Printing of a Biomimetic Myotendinous Junction Assisted by Artificial Intelligence.
Biomaterials science
Nov 19, 2024
The myotendinous junction (MTJ) facilitates force transmission between muscle and tendon to produce joint movement. The complex microarchitecture and regional mechanical heterogeneity of the myotendinous junction pose major challenges in creating thi...
Computational analysis of controlled drug release from porous polymeric carrier with the aid of Mass transfer and Artificial Intelligence modeling.
Scientific reports
Nov 18, 2024
Controlled release of a desired drug from porous polymeric biomaterials was analyzed via computational method. The method is based on simulation of mass transfer and utilization of artificial intelligence (AI). This study explores the efficacy of thr...
Conversion of hazardous waste into thermal conductive polymer: A prediction and guidance from machine learning.
Journal of environmental management
Oct 14, 2024
The preparation methods and thermal conductivity (TC) of the reported thermal conductive polymers vary significantly. A method to clarify the relationship between TC and influencing factors and to reach consistent conclusions is needed. In this study...
Multiplexed bacterial recognition based on "All-in-One" semiconducting polymer dots sensor and machine learning.
Talanta
Sep 24, 2024
The accurate discrimination of bacterial infection is imperative for precise clinical diagnosis and treatment. Here, this work presents a simplified sensor array utilizing "All-in-One" Pdots for efficient discrimination of diverse bacterial samples. ...
Improving accuracy and efficiency of the machined PEEK denture based on NSGA-II integrated GABP neural network.
Dental materials : official publication of the Academy of Dental Materials
Aug 10, 2024
OBJECTIVES: The polymer polyetheretherketone (PEEK) is gradually being used in dental restorations because of its excellent mechanical properties, chemical resistance, fatigue resistance, thermal stability, radiation translucency and good biocompatib...
AI-guided few-shot inverse design of HDP-mimicking polymers against drug-resistant bacteria.
Nature communications
Jul 26, 2024
Host defense peptide (HDP)-mimicking polymers are promising therapeutic alternatives to antibiotics and have large-scale untapped potential. Artificial intelligence (AI) exhibits promising performance on large-scale chemical-content design, however, ...
Machine learning trained poly (3,4-ethylenedioxythiophene) functionalized carbon matrix suspended Cu nanoparticles for precise monitoring of nitrite from pickled vegetables.
Food chemistry
Jul 17, 2024
Precise monitoring of nitrite from real samples has gained significant attention due to its detrimental impact on human health. Herein, we have fabricated poly(3,4-ethylenedioxythiophene) functionalized carbon matrix suspended Cu nanoparticles (PEDOT...
Design of Co-Cured Multi-Component Thermosets with Enhanced Heat Resistance, Toughness, and Processability via a Machine Learning Approach.
Macromolecular rapid communications
Jul 17, 2024
Designing heat-resistant thermosets with excellent comprehensive performance has been a long-standing challenge. Co-curing of various high-performance thermosets is an effective strategy, however, the traditional trial-and-error experiments have long...
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