Grain Boundary Space Charge Engineering of Solid Oxide Electrolytes: Model Thin Film Study
This study demonstrates unprecedented control of grain boundary electrical properties in solid electrolytes. Selective diffusion of cations through grain boundaries in thin films enables 12 orders of magnitude variation in ionic resistance, proving that systematic chemical modification of grain boundary electrical properties is feasible.
Thomas Defferriere +5 more
wiley +1 more source
A multicriteria quality evaluation method for organized scientific research considering heterogeneous information. [PDF]
Wang C, Zhang L.
europepmc +1 more source
Gang-of-Four Design Patterns: A Case Study of the Unified Model and the Eos Programming Language
Hridesh Rajan
openalex +1 more source
Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley +1 more source
Unified Deep Learning of Molecular and Protein Language Representations with T5ProtChem. [PDF]
Kelly T, Xia S, Lu J, Zhang Y.
europepmc +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
TBKIN: Threshold-based explicit selection for enhanced cross-modal semantic alignments. [PDF]
Guo Z, Shen X, Chen C.
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Multi-source heterogeneous data fusion and intelligent prediction modeling for chemical engineering construction projects based on improved transformer architecture. [PDF]
Xin D.
europepmc +1 more source
The article reviews laser‐processed carbons from various precursors, processing mechanism and their application in advanced batteries. The laser process is chemical free, fast, and scalable, enabling improved battery performance and stability for Li, Na, and Zn battery technologies.
Sujit Deshmukh +2 more
wiley +1 more source

