Transforming Cellulose Into Functional Three‐Dimensional Structures
Bibliographic record
Abstract
Abstract The impending energy crisis and climate change call for sustainable alternatives to petroleum‐based polymers for constructing three‐dimensional (3D) structures. As the most abundant biopolymer on Earth, cellulose offers structural versatility, biodegradability, and chemical tunability, making it an attractive platform for functional 3D architectures. Rather than providing a comprehensive survey of all structures and applications, this review focuses on recent advances in two major categories—liquid gels and porous materials—and explores their emerging roles in flexible electronics, thermal management, and water harvesting. The structure–property–function relationships and design principles underlying these materials are critically examined. Despite significant progress, challenges remain, including the difficulty of achieving elasticity and toughness comparable to synthetic polymers, limited scalability, and trade‐offs between functionality and sustainability. Looking forward, opportunities lie in dynamic crosslinking strategies, hierarchical structural design, and integration with advanced manufacturing techniques. These approaches will be crucial for advancing cellulose‐based 3D structures toward high‐performance, eco‐friendly solutions for next‐generation technology.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".