3D printed MXene architectures for a plethora of smart applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This review explores the integration of titanium carbide (Ti 3 C 2 T x ) MXene materials with three-dimensional (3D) printing techniques for advanced functional applications. Ti 3 C 2 T x MXenes exhibit remarkable intrinsic properties like high surface area, metallic conductivity, and flexible surface functionalities. These materials can be associated to 3D printing techniques that offer solutions to conventional techniques’ limitations, enabling the creation of high-performance, free-standing, and multiscale devices with precise control over architecture. Additionally, 3D printing techniques are cost-effective, energy-saving, and sustainable, reducing material waste and carbon footprint. This review begins by presenting an overview of two-dimensional (2D) materials and their distinct characteristics when comparted to the MXenes family, followed by discussions on synthesis routes for 3D printable MXene inks and fabrication methods for complex MXene-based structures. Various applications of 3D-printed MXene architectures are explored, particularly in energy storage devices like supercapacitors and batteries, leveraging MXenes exceptional electrical conductivity and high surface area to enhance energy storage capabilities. Moreover, the potential of 3D-printed MXene architectures in smart devices, incorporating technologies such as artificial intelligence and connectivity features, is highlighted, particularly in smart sensors, biosensors, electromagnetic shielding, and environmental remediation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it