Results 111 to 120 of about 1,548,949 (331)

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque   +5 more
wiley   +1 more source

Improved TV-CS Approaches for Inverse Scattering Problem

open access: yesThe Scientific World Journal, 2015
Total Variation and Compressive Sensing (TV-CS) techniques represent a very attractive approach to inverse scattering problems. In fact, if the unknown is piecewise constant and so has a sparse gradient, TV-CS approaches allow us to achieve optimal ...
M. T. Bevacqua, L. Di Donato
doaj   +1 more source

On the inverse problem in optical coherence tomography. [PDF]

open access: yesSci Rep, 2023
Macdonald CM, Arridge SR, Munro PRT.
europepmc   +1 more source

Advances in Micro/Nanofiber‐Based Porous Materials for High‐Performance Thermal Insulation

open access: yesAdvanced Functional Materials, EarlyView.
Micro/nanofiber porous materials have engendered great interest in the thermal insulation field. Herein, the structural designs, fabrication techniques, and applications of the micro/nanofiber thermal insulation materials are systematically summarized.
Xiaobao Gong   +5 more
wiley   +1 more source

Modelling Thermal Halide Exchange of Perovskite Powders With and Without BMIMBF4 From an Interdiffusion Perspective

open access: yesAdvanced Functional Materials, EarlyView.
Halide diffusion limits the stability of hybrid halide perovskites for optoelectronic applications and thus needs to be quantified. This study presents an effective interdiffusion model to obtain time‐dependent diffusion coefficients for I− and Br− diffusion from in situ X‐ray diffraction data during the formation of a solid solution MAPbIxBr3‐x from ...
Tobias Siegert   +6 more
wiley   +1 more source

Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture

open access: yesAdvanced Functional Materials, EarlyView.
Digital Twins of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively. Abstract Solid‐state lithium batteries (SSBs) have the potential to overcome conventional Li‐ion batteries in performance and safety.
Jonathan O'Neill   +3 more
wiley   +1 more source

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