Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman+3 more
wiley +1 more source
Supramolecular Conductive Hydrogels With Homogeneous Ionic and Electronic Transport
Poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) based conductive hydrogels have received great attention in bioelectronics on account of their tissue‐like mechanical properties. However, inhomogeneous morphologies of the conducting PEDOT phase limits their electrical and mechanical properties. Here, supramolecular hydrogels with self‐
Stephen J.K. O'Neill+12 more
wiley +1 more source
Deterministic X-ray Bragg coherent diffraction imaging as a seed for subsequent iterative reconstruction [PDF]
Coherent diffractive imaging (CDI), using both X-rays and electrons, has made extremely rapid progress over the past two decades. The associated reconstruction algorithms are typically iterative, and seeded with a crude first estimate. A deterministic method for Bragg Coherent Diffraction Imaging (Pavlov et al., Sci. Rep.
arxiv
Use of penalty terms in gradient-based iterative reconstruction schemes for optical tomography [PDF]
Andreas H. Hielscher, Sebastian Bartel
openalex +1 more source
Materials Advances in Devices for Heart Disease Interventions
This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra+11 more
wiley +1 more source
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen+14 more
wiley +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi+4 more
wiley +1 more source
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models [PDF]
Image-generative artificial intelligence (AI) has garnered significant attention in recent years. In particular, the diffusion model, a core component of generative AI, produces high-quality images with rich diversity. In this study, we proposed a novel computed tomography (CT) reconstruction method by combining the denoising diffusion probabilistic ...
arxiv
A very fast implementation of 2D iterative reconstruction algorithms [PDF]
Peter Toft
openalex +1 more source
Neuromorphic Light‐Responsive Organic Matter for in Materia Reservoir Computing
In this work we show that light‐responsive adaptive organic matter can store and process information at the matter level, and emulate neuromorphic functionalities such as short term memory, long term memory and visual memory. Besides demonstrating that material dynamics can be exploited for spatio‐temporal event detection and motion perception, we show
Federico Ferrarese Lupi+5 more
wiley +1 more source