[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 …
Applications of artificial intelligence and machine learning on critical materials used in cosmetics and personal care formulation design
The applications of Artificial intelligence (AI) and machine learning (ML) approaches are
rising in formula optimization, ingredients selection, performance prediction, and structure …
rising in formula optimization, ingredients selection, performance prediction, and structure …
Antifouling polymers for nanomedicine and surfaces: recent advances
Antifouling polymers are materials that can resist nonspecific interactions with cells, proteins,
and other biomolecules. Typically, they are hydrophilic polymers with polar or charged …
and other biomolecules. Typically, they are hydrophilic polymers with polar or charged …
Perspective: Machine learning in design for 3D/4D printing
Abstract 3D/4D printing offers significant flexibility in manufacturing complex structures with
a diverse range of mechanical responses, while also posing critical needs in tackling …
a diverse range of mechanical responses, while also posing critical needs in tackling …
Advances in Injectable Polymeric Biomaterials and Their Contemporary Medical Practices
S Beilharz, MK Debnath, D Vinella… - ACS Applied Bio …, 2024 - ACS Publications
Injectable biomaterials have been engineered to operate within the human body, offering
versatile solutions for minimally invasive therapies and meeting several stringent …
versatile solutions for minimally invasive therapies and meeting several stringent …
Intelligent materials and nanomaterials improving physical properties and control oriented on electronic implementations
A Massaro - Electronics, 2023 - mdpi.com
The review highlights possible research topics matching the experimental physics of matter
with advances in electronics to improve the intelligent design and control of innovative smart …
with advances in electronics to improve the intelligent design and control of innovative smart …
Polymer reaction engineering meets explainable machine learning
J Fiosina, P Sievers, M Drache, S Beuermann - Computers & Chemical …, 2023 - Elsevier
Due to the complex polymerization technique and statistical composition of the polymer,
tailoring its characteristics is a challenging task. Modeling of the polymerizations can …
tailoring its characteristics is a challenging task. Modeling of the polymerizations can …
Machine Learning-Based High-Throughput Screening for High-Stability Polyimides
G Luo, F Huan, Y Sun, F Shi, S Deng… - Industrial & Engineering …, 2024 - ACS Publications
High-stability polyimides exhibit tremendous potential for applications in flexible electronics,
fibers, and membrane materials. However, screening polyimide structures with superior …
fibers, and membrane materials. However, screening polyimide structures with superior …
Advancing flame retardant prediction: A self-enforcing machine learning approach for small datasets
Improving the fireproof performance of polymers is crucial for ensuring human safety and
enabling future space colonization. However, the complexity of the mechanisms for flame …
enabling future space colonization. However, the complexity of the mechanisms for flame …
Analysis of electrochemical impedance data: use of deep neural networks
Technology advancements in energy storage, photocatalysis, and sensors have generated
enormous impedimetric data. Electrochemical impedance spectroscopy (EIS) results play an …
enormous impedimetric data. Electrochemical impedance spectroscopy (EIS) results play an …