Hyperbranched lignin nanoparticles-enabled nanohybrid film for high-performance electromagnetic interference shielding and dual-mode thermal management
Bibliographic record
Abstract
Electromagnetic interference (EMI) becomes a critical environmental and health concern with the proliferation of numerous electronic devices. However, achieving uniform dispersion and alignment of magnetic and conductive nanofillers to prepare EMI shielding films remains challenging. In this study, a bio-based multifunctional nanohybrid film, namely CNFs/MXene/T-Fe 3 O 4 /H-LNPs (CMFL), was constructed by integrating hyperbranched lignin nanoparticles (H-LNPs), cellulose nanofibrils (CNFs), MXene, and tetraethyl orthosilicate (TEOS) modified Fe 3 O 4 (T-Fe 3 O 4 ). It is hypothesized that the hydroxyl-rich H-LNPs, serving as effective dispersants, facilitate the uniform dispersion of T-Fe 3 O 4 through electrostatic repulsion. Furthermore, these H-LNPs, acting as nano-bonding agents, not only promote the ordered alignment and interfacial bonding of MXene lamellae, but also endow the resultant CMFL film with excellent mechanical properties with tensile strength of 41.89 MPa. Thanks to the synergy of polarization, conduction, and hysteresis losses, the optimized CMFL film sample can achieve 61.3 dB of EMI shielding effectiveness at a thickness of 67 μm. Moreover, the nanohybrid film demonstrates dual-mode thermal management enhanced by photothermal conversion and Joule heating effects. It can rapidly heat to 76.1 °C under 1.0 kW·m −2 of solar irradiation and stabilize at 68.3 °C under a 3 V input. This study offers a sustainable approach to developing advanced bio-based materials for EMI shielding and thermal management applications. • A bio-based CMFL nanohybrid film was constructed for efficient EMI shielding. • Hyperbranched lignin nanoparticles (H-LNPs) serve as dual-functional agents. • H-LNPs enable a well-dispersion of T-Fe₃O₄ via electrostatic repulsion. • H-LNPs facilitate ordered alignment and interfacial adhesion between MXene and CNFs. • CMFL film delivers excellent tensile strength, EMI SE and dual-mode thermal management.
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".