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 …
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 …
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 …
Molecular perspective and engineering of thermal transport and thermoelectricity in polymers
SC Yelishala, C Murphy, L Cui - Journal of Materials Chemistry A, 2024 - pubs.rsc.org
Designing polymers with desirable thermal or thermoelectric properties has been a great
goal in the field of organic functional materials. This is widely considered challenging …
goal in the field of organic functional materials. This is widely considered challenging …
Data Distillation for Neural Network Potentials toward Foundational Dataset
Machine learning (ML) techniques and atomistic modeling have rapidly transformed
materials design and discovery. Specifically, generative models can swiftly propose …
materials design and discovery. Specifically, generative models can swiftly propose …
Polymer Boosts High Performance Perovskite Solar Cells: A Review
Perovskite solar cells (PSCs) with excellent photoelectric properties have attracted much
attention in recent years. However, the solution manufacturing of PSCs inevitably introduces …
attention in recent years. However, the solution manufacturing of PSCs inevitably introduces …
Surfactant-Specific AI-Driven Molecular Design: Integrating Generative Models, Predictive Modeling, and Reinforcement Learning for Tailored Surfactant Synthesis
M Nnadili, AN Okafor, T Olayiwola… - Industrial & …, 2024 - ACS Publications
Molecular design is a critical aspect of various scientific and industrial fields, where the
properties of molecules hold significant importance. In this study, a 3-fold methodology …
properties of molecules hold significant importance. In this study, a 3-fold methodology …