Results 61 to 70 of about 26,086 (260)
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Review of Push-Out and Shear Response of Hybrid Steel-Trussed Concrete Beams
The hybrid steel trussed concrete beams examined in the present study are comprised of two principal components, i.e., a steel joist with inclined rebars, realized in industry, which is welded to a smooth steel plate and then embedded within the concrete
Piero Colajanni +2 more
doaj +1 more source
Electrically Tunable Piezotronic Transistor by Coupling Interface Polar Symmetry and Strain Gradient
A macroscale tip‐induced strain gradient generates bulk piezo‐charges in GaN, enabling bias‐controlled shielding and selective Schottky barrier modulation. This strain‐gradient piezotronic transistor exhibits electrically switchable high‐ and low‐sensitivity states, providing ultrahigh strain sensitivity and wide tunability for adaptive mechanical ...
Gongwei Hu +9 more
wiley +1 more source
A novel PR strategy was proposed to improve CBD‐derived Sb2S3 film quality. It synergistically optimized the CBO of CdS/Sb2S3 interface and the back‐contact barrier, while the VS2 donor defect was converted into SSb2 acceptor defect with lower concentration.
Yeyang Lin +8 more
wiley +1 more source
Substrate Engineering of SWCNT p–n Junctions for Dual‐Mode Power Generation and Heat‐Flux Sensing
Through substrate engineering alone, a single‐walled carbon nanotube p–n junction device switches between two functions under uniform infrared irradiation. A low‐absorbance substrate sustains a central hot junction for continuous power generation, whereas high‐absorbance substrates transiently invert the temperature gradient for sensitive heat‐flux ...
Ryota Tamai +3 more
wiley +1 more source
Durability of reinforced concrete exposed to aggressive conditions
Reinforced concrete is the most widely used construction material in the world. The combination of high compressive strength, afforded by concrete and, and the excellent mechanical properties that characterise steel make it an ideal composite for all ...
A. M. Aguirre, R. Mejía de Gutiérrez
doaj +1 more source
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen +5 more
wiley +1 more source
GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source
Öyvind Fahlström (1928–76) began as a surrealist at the end of the 1940s, and among others wrote the unpublished poetry collection “The Trumpet in the Bottom”.
Per Bäckström
doaj +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source

