Results 101 to 110 of about 595,112 (241)
The study finds that mulch films made with poly(butylene adipate‐co‐terephthalate)/poly(lactic acid) and 10% soy waste degrade faster than those without soy. Plants grown with the soy‐containing films are 49% taller, suggesting that the soy acts as a biostimulant.
Kerry Candlen+8 more
wiley +1 more source
This study presents the first integration of 3D‐printed stainless‐steel gyroid scaffolds with spore‐based biocatalysts in microscale bioenergy devices, addressing key challenges in microbial‐electronic interfacing. Motivated by the need for sustainable power in IoT systems, the work advances biobatteries toward real‐world use, offering shelf‐stability,
Anwar Elhadad+5 more
wiley +1 more source
Extreme Confinement Effects on the Incorporated Dyes in Metal–Organic Frameworks
This study investigates the behavior of 14 fluorescent dyes under extreme confinement in metal–organic frameworks. A dragonfly illustration analogizes three states: free flight for unconfined dyes, folded wings for AIE‐like effects, and buckled bodies for BIQ effects.
Xiao Xiao+8 more
wiley +1 more source
Achieving Intrinsic Luminescence of Pure Organic Mono‐ and Di‐Radicals in Aggregated States
A versatile strategy enables efficient luminescence of organic radicals in aggregated states by suppressing detrimental interactions, providing insights for solid‐state luminescence applications. ABSTRACT Organic luminescent radicals are promising for optoelectronic applications, yet their practical implementation remains hindered by aggregation‐caused
Jiahao Guan+9 more
wiley +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
CIF extension for <i>Visual Studio Code</i>. [PDF]
Helttunen K, Kainulainen H.
europepmc +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek+23 more
wiley +1 more source
Surveying the Efficacy of an Open Access Biomedical Informatics Boot Camp. [PDF]
Resendez SD+7 more
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang+4 more
wiley +1 more source
Hardware‐Software Codesign of 2D Neuromorphic Optoelectronic Device for Dynamic Gesture Recognition
Dynamic gesture recognition based on an in‐sensor reservoir and its synaptic behaviors. Dynamic image recognition with in‐sensor function is achieved, leveraging the capabilities of in‐sensor reservoir computing. Such a computing architecture integrates the sensory capabilities of the retina with the computational advantages of the brain, forming an ...
Jiarui Wang+5 more
wiley +1 more source