AIMC Topic: Polymers

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AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm.

Sensors (Basel, Switzerland)
Three-dimensional (3D) printing, also known as additive manufacturing (AM), has already shown its potential in the fourth technological revolution (Industry 4.0), demonstrating remarkable applications in manufacturing, including of medical devices. T...

Functional Liquid Crystal Elastomers Based on Dynamic Covalent Chemistry.

Chemistry (Weinheim an der Bergstrasse, Germany)
The marriage of liquid crystal elastomers with dynamic covalent chemistry can be a new paradigm for the development of dynamic and intelligent polymers with versatile functionalities, which is of paramount significance for many emerging applications ...

Functional Output Regression for Machine Learning in Materials Science.

Journal of chemical information and modeling
In recent years, there has been a rapid growth in the use of machine learning in material science. Conventionally, a trained predictive model describes a scalar output variable, such as thermodynamic, electronic, or mechanical properties, as a functi...

Organizing Reliable Polymer Electrode Lines in Flexible Neural Networks via Coffee Ring-Free Micromolding in Capillaries.

ACS applied materials & interfaces
With an increase in the demand for smart wearable systems, artificial synapse arrays for flexible neural networks have received considerable attention. A synaptic device with a two-terminal configuration is promising for complex neural networks becau...

Efficient enumeration-selection computational strategy for adaptive chemistry.

Scientific reports
Design problems of finding efficient patterns, adaptation of complex molecules to external environments, affinity of molecules to specific targets, dynamic adaptive behavior of chemical systems, reconstruction of 3D structures from diffraction data a...

Leveraging Theory for Enhanced Machine Learning.

ACS macro letters
The application of machine learning to the materials domain has traditionally struggled with two major challenges: a lack of large, curated data sets and the need to understand the physics behind the machine-learning prediction. The former problem is...

Conformer-RL: A deep reinforcement learning library for conformer generation.

Journal of computational chemistry
Conformer-RL is an open-source Python package for applying deep reinforcement learning (RL) to the task of generating a diverse set of low-energy conformations for a single molecule. The library features a simple interface to train a deep RL conforme...

Advances in Organ-on-a-Chip Materials and Devices.

ACS applied bio materials
The organ-on-a-chip (OoC) paves a way for biomedical applications ranging from preclinical to clinical translational precision. The current trends in the in vitro modeling is to reduce the complexity of human organ anatomy to the fundamental cellular...

Nanostructured block copolymer muscles.

Nature nanotechnology
High-performance actuating materials are necessary for advances in robotics, prosthetics and smart clothing. Here we report a class of fibre actuators that combine solution-phase block copolymer self-assembly and strain-programmed crystallization. Th...

A High-Fidelity Skin-Attachable Acoustic Sensor for Realizing Auditory Electronic Skin.

Advanced materials (Deerfield Beach, Fla.)
Wearable auditory sensors are critical in user-friendly sound-recognition systems for smart human-machine interaction and the Internet of Things. However, previously reported wearable sensors have limited sound-sensing quality as a consequence of a p...