Results 191 to 200 of about 5,613 (301)

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Multivalued backward stochastic differential equations with time delayed generators

Open Mathematics, 2014
Diomande Bakarime, Maticiuc Lucian
doaj   +1 more source

Entropy Production and Irreversibility in the Linearized Stochastic Amari Neural Model. [PDF]

Entropy (Basel)
Lucente D, Gradenigo G, Salasnich L.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Limitations of Variational Laplace-Based Dynamic Causal Modelling for Multistable Cortical Circuits. [PDF]

Neuroinformatics
Asadpour A, Azimi A, Wong-Lin K.
europepmc   +1 more source

Reflected backward stochastic differential equations driven by Lévy processes

In this paper, we deal with reflected backward stochastic differential equations driven by Teugels martingales associated with Lévy process satisfying some moment condition and an independent Brownian motion.
Hu, Lanying, Ren, Yong
core  

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
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, Christian Mark Pelicano   +1 more
wiley   +1 more source

Apparent Pathologies in Stochastic Entropy Production in the Thermalisation of an Open Two-Level Quantum System. [PDF]

Entropy (Basel)
Dexter J, Ford IJ.
europepmc   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Stochastic control of influenza spread: A Lévy-driven SDE and branching process approach. [PDF]

Infect Dis Model
Mohammad KM, Khan T, Kamrujjaman M.
europepmc   +1 more source