Results 171 to 180 of about 4,042,759 (279)
Intelligent delignification: leveraging explainable AI for ozone transport modeling and optimization. [PDF]
Rizwan M +6 more
europepmc +1 more source
Explainable AI: from black box to glass box
Arun Rai
semanticscholar +1 more source
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou +7 more
wiley +1 more source
Explainable AI framework for improved Thalassemia mental health classification and feature selection. [PDF]
Ayon SS +8 more
europepmc +1 more source
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won +3 more
wiley +1 more source
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske +4 more
wiley +1 more source
Explainable AI models for identifying anxiety and distress in cardiac patients with ICDs. [PDF]
Ebrahimi A +9 more
europepmc +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Ensemble learning approach with explainable AI for improved heart disease prediction. [PDF]
Adekoya A, Saeed F, Ghaban W, Qasem SN.
europepmc +1 more source
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source

