AIMC Topic: Phase Transition

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Focused ultrasound enables selective actuation and Newton-level force output of untethered soft robots.

Nature communications Jun 18, 2024
Untethered miniature soft robots have significant application potentials in biomedical and industrial fields due to their space accessibility and safe human interaction. However, the lack of selective and forceful actuation is still challenging in re...
Humans Equipment Design Ultrasonic Waves Phase Transition Ultrasonography Robotics
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Universal early warning signals of phase transitions in climate systems.

Journal of the Royal Society, Interface Apr 5, 2023
The potential for complex systems to exhibit tipping points in which an equilibrium state undergoes a sudden and often irreversible shift is well established, but prediction of these events using standard forecast modelling techniques is quite diffic...
Phase Transition Neural Networks, Computer
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Machine learning of pair-contact process with diffusion.

Scientific reports Nov 17, 2022
The pair-contact process with diffusion (PCPD), a generalized model of the ordinary pair-contact process (PCP) without diffusion, exhibits a continuous absorbing phase transition. Unlike the PCP, whose nature of phase transition is clearly classified...
Phase Transition Humans Machine Learning Principal Component Analysis Diffusion
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Photo-induced non-volatile VO phase transition for neuromorphic ultraviolet sensors.

Nature communications Apr 1, 2022
In the quest for emerging in-sensor computing, materials that respond to optical stimuli in conjunction with non-volatile phase transition are highly desired for realizing bioinspired neuromorphic vision components. Here, we report a non-volatile mul...
Vision, Ocular Phase Transition Neural Networks, Computer
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New Frontiers for Machine Learning in Protein Science.

Journal of molecular biology Sep 6, 2021
Protein function is fundamentally reliant on inter-molecular interactions that underpin the ability of proteins to form complexes driving biological processes in living cells. Increasingly, such interactions are recognised as being formed between pro...
Machine Learning Animals Humans Protein Aggregates Phase Transition Protein Interaction Maps Proteins Protein Folding
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Machine learning to determine optimal conditions for controlling the size of elastin-based particles.

Scientific reports Mar 18, 2021
This paper evaluates the aggregation behavior of a potential drug and gene delivery system that combines branched polyethyleneimine (PEI), a positively-charged polyelectrolyte, and elastin-like polypeptide (ELP), a recombinant polymer that exhibits l...
Elementary Particles Hydrodynamics Gene Transfer Techniques Phase Transition Elastin Cold Temperature Transition Temperature Peptides Hydrophobic and Hydrophilic Interactions Humans Machine Learning Temperature Drug Delivery Systems
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Body Temperature-Triggered Mechanical Instabilities for High-Speed Soft Robots.

Soft robotics Jan 27, 2021
Nature offers bionic inspirations for elegant applications of mechanical principles such as the concept of snap buckling, which occurs in several plants. Exploiting mechanical instabilities is the key to fast movement here. We use the snap-through an...
Body Temperature Movement Phase Transition Robotics Elastomers Humans
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Versatile Soft Robot Gripper Enabled by Stiffness and Adhesion Tuning via Thermoplastic Composite.

Soft robotics Jan 22, 2021
Within the field of robotics, stiffness tuning technologies have potential for a variety of applications-perhaps most notably for robotic grasping. Many stiffness tuning grippers have been developed that can grasp fragile or irregularly shaped object...
Hand Strength Phase Transition Physical Phenomena Robotics Equipment Design
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Low-Voltage-Driven Large-Amplitude Soft Actuators Based on Phase Transition.

Soft robotics Apr 7, 2020
Soft actuators producing large motion in a short time are mostly based on stretchable polymers actuated by pneumatic pressure; they consist of bulky components, including a motor, pump/compressor, tubes, and valves. In this study, we develop a fast-r...
Phase Transition Polymers Robotics Electricity Equipment Design
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Artificial intelligence exploration of unstable protocells leads to predictable properties and discovery of collective behavior.

Proceedings of the National Academy of Sciences of the United States of America Jan 16, 2018
Protocell models are used to investigate how cells might have first assembled on Earth. Some, like oil-in-water droplets, can be seemingly simple models, while able to exhibit complex and unpredictable behaviors. How such simple oil-in-water systems ...
Artificial Cells Origin of Life Automation Phase Transition Robotics Models, Biological Algorithms Artificial Intelligence Models, Chemical Oils Water Machine Learning
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