AIMC Topic: Transition Elements

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Self-Assembly MXene/PDA@Cotton Fabric Pressure Sensor Integrated with Deep Learning for Sign Language Recognition.

ACS applied materials & interfaces Jul 11, 2025
In recent years, smart textiles and flexible wearable products have garnered significant attention in fields such as human-computer interaction, medical rehabilitation training, and motion monitoring. Flexible pressure sensors have attracted signific...
Cotton Fiber Sign Language Indoles Pressure Transition Elements Nitrites Humans Deep Learning Wearable Electronic Devices Polymers
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DNA-Mediated Bioinspired MXene Gas Sensor Array with Machine Learning for Noninvasive Cancer Recognition.

ACS nano Jun 28, 2025
Noninvasive odor sensing is important in environmental monitoring and medical diagnosis. The two-dimensional material MXene is widely used due to its unique sensing properties but has limitations in specifically recognizing a certain gas. This study ...
Humans Machine Learning Neoplasms Breath Tests Transition Elements Nitrites Odorants Gases Biosensing Techniques DNA
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Smart MXene-based microrobots for targeted drug delivery and synergistic therapies.

Nanoscale Apr 10, 2025
MXenes and their composites exhibit remarkable electrical conductivity, mechanical flexibility, and biocompatibility, making them ideal candidates for microrobot fabrication. Their tunable surface chemistry allows for easy functionalization, which en...
Humans Animals Neoplasms Drug Delivery Systems Transition Elements Nitrites Antineoplastic Agents Robotics
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MXene-enabled organic synaptic fiber for ultralow-power and biochemical-mediated neuromorphic transistor.

Biosensors & bioelectronics Apr 9, 2025
Fibrous bioelectronic provides an intrinsically accessible platform for artificial nerve and real-time physiological perception. However, advanced fiber-based artificial synapse remains a challenge due to the contradictory conductance demands for bra...
Uric Acid Nanostructures Biosensing Techniques Titanium Electric Conductivity Transition Elements Nitrites Synapses Transistors, Electronic Humans Animals
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CuO/TiO/MXene-Based Sensor and SMS-TENG Array Integrated Inspection Robots for Self-Powered Ethanol Detection and Alarm at Room Temperature.

ACS sensors Feb 15, 2024
In this study, a high-precision CuO/TiO/MXene ethanol sensor operating at room temperature was prepared. The sensor exhibits excellent response value (95% @1 ppm ethanol), extremely low detection limit (0.3 ppm), fast response/recovery time (16/13 s)...
Nitrites Silicones Transition Elements Ethanol Robotics Temperature
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Advancements in MXene-based composites for electronic skins.

Journal of materials chemistry. B Jan 24, 2024
MXenes are a class of two-dimensional (2D) materials that have gained significant attention in the field of electronic skins (E-skins). MXene-based composites offer several advantages for E-skins, including high electrical conductivity, mechanical fl...
Artificial Intelligence Artificial Limbs Humans Transition Elements Nitrites Electronics Electric Conductivity
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Controlled Growth of Wafer-Scale Transition Metal Dichalcogenides with a Vertical Composition Gradient for Artificial Synapses with High Linearity.

ACS nano Aug 1, 2022
Artificial synapses are promising for dealing with large amounts of data computing. Great progress has been made recently in terms of improving the on/off current ratio, the number of states, and the energy efficiency of synapse devices. However, the...
Transition Elements Neural Networks, Computer Synapses Electric Conductivity
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Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning.

Chemical reviews Jul 14, 2021
Transition-metal complexes are attractive targets for the design of catalysts and functional materials. The behavior of the metal-organic bond, while very tunable for achieving target properties, is challenging to predict and necessitates searching a...
Transition Elements High-Throughput Screening Assays Coordination Complexes Machine Learning Metals
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Dual-Mode Temperature-Pressure MXene Sensor for Enhanced Firefighter Safety and Deep Learning-Enhanced Smart Gloves.

ACS applied materials & interfaces Jul 2, 2025
Dual-mode sensors capable of detecting multiple physical stimuli simultaneously offer significant advantages for advanced applications in human-machine interaction, robotics, and healthcare. However, the flammability of conventional materials limits ...
Humans Temperature Wearable Electronic Devices Pressure Deep Learning Transition Elements Nitrites Gloves, Protective Firefighters
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