Results 221 to 230 of about 126,562 (300)
Generative Models for Crystalline Materials
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni +15 more
wiley +1 more source
Oxygen Evolution Reaction Catalysts for Acidic‐Media CO2 Electrolyzers
Acidic‐media CO2 electroreduction (CO2R) could decarbonize chemical production, despite relying on rare‐earth elements for anodic oxygen evolution reaction (OER). Transferring the learnings from mature sister technologies (water electrolysis) could accelerate technological development.
Mingcheng Huang, Adnan Ozden
wiley +1 more source
Study of a Novel Bi‐Layered Thermoplastic Polyurethane Patch for Congenital Diaphragmatic Hernia
Large congenital diaphragmatic hernia remains a challenge due to the poor compatibility of current prostheses. To tackle this problem, a bilayer thermoplastic polyurethane patch with tunable mechanical properties is engineered, whose fibrous side supports rapid fibroblast and myoblast colonization, while the smooth film limits adhesions.
Guillaume Leks +14 more
wiley +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
This manuscript describes the design and validation of an innovative melt electrowriting printer. With a turntable collector and modular software architecture, it unifies previous advanced MEW printer capabilities and enhances adaptability for a wide range of research applications.
Timo Baroth +3 more
wiley +1 more source
Pattern Formation in Non‐Equilibrium Architected Materials
This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
wiley +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source

