Results 161 to 170 of about 3,898 (197)
Advanced Science, EarlyView.Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
Advanced Science, EarlyView.This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Advanced Science, EarlyView.A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Advanced Science, EarlyView.Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
Advanced Science, EarlyView.Nanomaterials offer dual applications in allergy management. For diagnosis, nanomaterials enhance analytical sensitivity and improve detection in specific IgE and functional assays such as the basophil activation test (BAT). For allergen‐specific immunotherapy, nanomaterials enable allergen masking and controlled release, and effectively modulate the ...
Madiha Habib +8 more
wiley +1 more source
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Dendritic Subunits Determined by Dendritic Morphology
Neural Computation, 2001A theoretical framework is presented in which arbitrarily branched dendritic structures with nonhomogeneous membrane properties and nonuniform geometry can be transformed into an equivalent unbranched structure (equivalent cable). Rall's equivalent cylinder is seen to be one part of the equivalent cable in the special case of dendrites satisfying the ...
K. A. Lindsay +2 more
openaire +2 more sources
Current Opinion in Neurobiology, 2001
Dendritic processing multiplies the computational power of a single neuron by enabling the processing of inputs in a spatio-temporally differentiated manner. Recently, the development of new and refined optical, electrophysiological and molecular-biological techniques has led to new insights into dendritic function and revealed an astonishing plethora ...
Euler, T., Denk, W.
openaire +4 more sources
Dendritic processing multiplies the computational power of a single neuron by enabling the processing of inputs in a spatio-temporally differentiated manner. Recently, the development of new and refined optical, electrophysiological and molecular-biological techniques has led to new insights into dendritic function and revealed an astonishing plethora ...
Euler, T., Denk, W.
openaire +4 more sources
Tumori Journal, 2002
Dendritic cells (DC) are the most effective or ‘professional’ of the antigen‐presenting cells (APC) that initiate primary immune responses. They are located at surveillance sites where they capture and process antigens. They then initiate and regulate T‐ and B‐cell responses by expressing lymphocyte costimulatory molecules, migrating to lymphoid organs
Massimo, Di Nicola, A, Massimo Gianni
openaire +4 more sources
Dendritic cells (DC) are the most effective or ‘professional’ of the antigen‐presenting cells (APC) that initiate primary immune responses. They are located at surveillance sites where they capture and process antigens. They then initiate and regulate T‐ and B‐cell responses by expressing lymphocyte costimulatory molecules, migrating to lymphoid organs
Massimo, Di Nicola, A, Massimo Gianni
openaire +4 more sources