Chemical modification is an important route to tuning interactions between nanocellulose and its surrounding media. Specifically, it affects the wetting characteristics, which in turn affect water transport, moisture sensitivity, and liquid processability. Wetting at the nanoscale is difficult to…

Transparent wood was prepared by infiltrating delignified balsa templates with bio-based isobornyl acrylate (IBOA) and isobornyl methacrylate (IBOMA) matrices, including the corresponding homopolymers and three copolymer compositions. The formulations were compared in terms of refractive index,…

Previous research demonstrated that combining scratch testing with image-based techniques is a powerful approach for investigating scratch-induced damage mechanisms in untreated and PEG-impregnated wood. However, this methodology has not yet been applied to wood components of modular houses…

This work investigates the effects provided by polymeric carbon dots - synthesized on purpose - on the morphology, thermal and optical properties of UV-LED curable biobased coatings

This work demonstrates the possibility of preparing fully bio-based transparent woods.

Bringing a radical innovation from the laboratory to society is not always a straightforward process. Beyond technical performance, innovative materials must be understood, accepted, and valued by the people who will potentially design, use, and experience them. This challenge is particularly relevant for such emerging sustainable materials as Transparent Wood (TW), a new bio-based material that combines the natural structure of wood with the optical properties of transparent materials.

Artificial intelligence (AI) is a broad term referring to the capability of certain computational systems to perform tasks typically associated with human intelligence, such as reasoning, learning, creativity or pattern recognition. Recent progress in development of AI systems, particularly in their subset known as machine learning (ML), has been helpful in many fields of science and technology. The idea behind ML is that the computational system instead of being explicitly told what to do at each step, is trained with the available data to perform certain tasks it has been designed to.

Transparent Wood (TW) represents a fascinating development in materials science, transforming the ancient, ubiquitous natural composite that is wood into a material possessing optical clarity while retaining many of its inherent advantageous properties. Historically utilized extensively across numerous sectors from construction to art and furniture, wood is renewable and recyclable, aligning perfectly with contemporary circular economy principles. However, its natural opacity, primarily due to the presence of lignin and light scattering within its complex cellular structure, limits its application where transparency is required. The concept of transparent wood was initially explored by Fink in 1992, but it was rediscovered and rigorously investigated by independent research groups starting about a decade ago.

This Guide aims to provide people who are not familiar with Transparent Wood (TW) with an overview on this material, which was discovered in 1992 and thoroughly investigated from 2015 onwards.

Modeling of Transparent Wood - Introduction on modeling pristine selected woods at the micro-, macro-, and meso-scales