Results 21 to 30 of about 132 (130)
A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou +34 more
wiley +1 more source
Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon +3 more
wiley +1 more source
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee +3 more
wiley +1 more source
Polymer‐Based Probabilistic Bits for Thermodynamic Computing
Electropolymerized conjugated polymers function as intrinsic entropy sources for probabilistic computing. Thermally driven conformational fluctuations of pendant triphenylamine groups produce stochastic resistance dynamics that are transduced into voltage‐gated probabilistic bits following logistic transfer functions identical to those of stochastic ...
Stephen H. Foulger +7 more
wiley +1 more source
Abstract Cooperative learning is a widely adopted teaching method to improve academic achievement. This review synthesises existing research on the use of cooperative learning within a school setting for pupils aged 11–16 years. Such a review has not been undertaken to date and will present an evidence base for educators considering implementation ...
Patricia Hampson +2 more
wiley +1 more source
Corporate Decarbonization via Technology and Management
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran +2 more
wiley +1 more source
Blockchain Technology and the Circular Economy Transition: Associations With Company Performance
ABSTRACT The adoption of circular economy (CE) practices in the private sector has received increasing academic and managerial attention, although the implementation of such practices continues to face significant barriers. Among Industry 4.0 technologies, blockchain has been identified as a potential factor associated with the CE transition.
Josep Llach +3 more
wiley +1 more source
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
ABSTRACT We examine the effects of big data analytics (BDA) and artificial intelligence (AI) on corporate sustainability performance, specifically investigating the influence of regulatory pressure and top management support. Utilizing hierarchical regression analysis on questionnaire data from 220 Chinese manufacturing firms, we find that both BDA and
Mandella Osei‐Assibey Bonsu +2 more
wiley +1 more source

