AIMC Topic: Materials Testing

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Optically Modulated HfS-Based Synapses for Artificial Vision Systems.

ACS applied materials & interfaces
The simulation of human brain neurons by synaptic devices could be an effective strategy to break through the notorious "von Neumann Bottleneck" and "Memory Wall". Herein, opto-electronic synapses based on layered hafnium disulfide (HfS) transistors ...

Smart Bioinspired Actuators: Crawling, Linear, and Bending Motions through a Multilayer Design.

ACS applied materials & interfaces
To fulfill the insatiable demand for wearable technologies, ionic electroactive polymer actuators have been entrenched as promising candidates that can convert low-input-voltage energy into high mechanical throughput. However, a ubiquitous trilayer d...

Vital signal sensing and manipulation of a microscale organ with a multifunctional soft gripper.

Science robotics
Soft grippers that incorporate functional materials are important in the development of mechanically compliant and multifunctional interfaces for both sensing and stimulating soft objects and organisms. In particular, the capability for firm and deli...

Optimization of running-in surface morphology parameters based on the AutoML model.

PloS one
Running-in is an important and relatively complicated process. The surface morphology prior to running-in affects the surface morphology following the running-in process, which in turn influences the friction and wear characteristics of the workpiece...

Deep learning enabled classification of real-time respiration signals acquired by MoSSe quantum dot-based flexible sensors.

Journal of materials chemistry. B
Respiration rate is a vital parameter which is useful for the earlier identification of diseases. In this context, various types of devices have been fabricated and developed to monitor different breath rates. However, the disposability and biocompat...

Evaluation of Mechanical Properties of Materials Based on Genetic Algorithm Optimizing BP Neural Network.

Computational intelligence and neuroscience
In the 21 century, with the increasingly urgent requirements for lightweight in the fields of aviation, aerospace, and electronics, especially automobiles, many properties of magnesium alloy materials, especially the low-density performance character...

A Battery-Like Self-Selecting Biomemristor from Earth-Abundant Natural Biomaterials.

ACS applied bio materials
Using the earth-abundant natural biomaterials to manufacture functional electronic devices meets the sustainable requirement of green electronics, especially for the practical application of memristors in data storage and neuromorphic computing. Howe...

Identifying Optimal Strain in Bismuth Telluride Thermoelectric Film by Combinatorial Gradient Thermal Annealing and Machine Learning.

ACS combinatorial science
The thermoelectric properties of bismuth telluride thin film (BTTF) was tuned by inducing internal strain through a combination of combinatorial gradient thermal annealing (COGTAN) and machine learning. BTTFs were synthesized via magnetron sputter co...

Zwitterionic 3D-Printed Non-Immunogenic Stealth Microrobots.

Advanced materials (Deerfield Beach, Fla.)
Microrobots offer transformative solutions for non-invasive medical interventions due to their small size and untethered operation inside the human body. However, they must face the immune system as a natural protection mechanism against foreign thre...

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.

Chemical reviews
By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal-organic frameworks (MOFs). The fact that we have so many materials opens many exciting avenues but also create new challenges. We simply have too m...