Biomimetic natural biomaterials for tissue engineering and regenerative medicine: new biosynthesis methods, recent advances, and emerging applications
Biomimetic materials have emerged as attractive and competitive alternatives for tissue
engineering (TE) and regenerative medicine. In contrast to conventional biomaterials or …
engineering (TE) and regenerative medicine. In contrast to conventional biomaterials or …
Computational design and manufacturing of sustainable materials through first-principles and materiomics
Engineered materials are ubiquitous throughout society and are critical to the development
of modern technology, yet many current material systems are inexorably tied to widespread …
of modern technology, yet many current material systems are inexorably tied to widespread …
Emerging trends in machine learning: a polymer perspective
In the last five years, there has been tremendous growth in machine learning and artificial
intelligence as applied to polymer science. Here, we highlight the unique challenges …
intelligence as applied to polymer science. Here, we highlight the unique challenges …
[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …
Machine Learning utilizing biodegradable polymers and their composites, presenting a …
Enhancing precision in PANI/Gr nanocomposite design: robust machine learning models, outlier resilience, and molecular input insights for superior electrical …
This study employs various machine learning algorithms to model the electrical conductivity
and gas sensing responses of polyaniline/graphene (PANI/Gr) nanocomposites based on a …
and gas sensing responses of polyaniline/graphene (PANI/Gr) nanocomposites based on a …
A review on the application of molecular descriptors and machine learning in polymer design
Polymers are an important class of materials with vast arrays of physical and chemical
properties and have been widely used in many applications and industrial products …
properties and have been widely used in many applications and industrial products …
Valorization of organic wastes using bioreactors for polyhydroxyalkanoate production: recent advancement, sustainable approaches, challenges, and future …
Microbial polyhydroxyalkanoates (PHA) are encouraging biodegradable polymers, which
may ease the environmental problems caused by petroleum-derived plastics. However …
may ease the environmental problems caused by petroleum-derived plastics. However …
Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
This review illuminates the pivotal synergy between machine learning (ML) and
biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, and …
biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, and …
Towards a Sustainable Circular Economy: Algae‐Based Bioplastics and the Role of Internet‐of‐Things and Machine Learning
The growing potential of sustainable materials such as polyhydroxyalkanoates (PHAs),
polylactic acid (PLA), alginate, carrageenan, and ulvan for bioplastics production presents …
polylactic acid (PLA), alginate, carrageenan, and ulvan for bioplastics production presents …
Bioplastic design using multitask deep neural networks
Non-degradable plastic waste jeopardizes our environment, yet our modern lifestyle and
current technologies are impossible to sustain without plastics. Bio-synthesized and …
current technologies are impossible to sustain without plastics. Bio-synthesized and …