Results 191 to 200 of about 1,900 (308)

CFD modeling and sensitivity‐guided design of silicon filament CVD reactors

AIChE Journal, EarlyView.
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis, G. Loachamín‐Suntaxi, I. G. Aviziotis, E. D. Koronaki, P. P. Filippatos, G. Chatzigiannakis, S. P. A. Bordas, D. Davazoglou, A. G. Boudouvis   +8 more
wiley   +1 more source

SHARP: a hybrid metaheuristic approach for intelligent robotic path planning. [PDF]

Sci Rep
Fakhouri H, Alawadi S, Galozy A, Alkhabbas F, Ayyad M, Banihani I, Alkharabsheh K, Aladwan M.   +7 more
europepmc   +1 more source

SigmaFormer: Augmenting transformer encoders with COSMO sigma profiles for pure component property prediction

AIChE Journal, EarlyView.
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim, Silabrata Pahari, Joseph Sang‐Il Kwon   +2 more
wiley   +1 more source

A Resilient Distributed Pareto-Based PSO for Edge-UAVs Deployment Optimization in Internet of Flying Things. [PDF]

Sensors (Basel)
Zerrougui S, Zaidi S, Calafate CT.
europepmc   +1 more source

Accelerating scientific discoveries through data-driven innovations. [PDF]

Patterns (N Y), 2023
Alexander FJ, Lin M, Qian X, Yoon BJ.
europepmc   +1 more source

Scalarization and sensitivity analysis in Vector Optimization. The linear case. [PDF]

In this paper we consider a vector optimization problem; we present some scalarization techniques for finding all the vector optimal points of this problem and we discuss the relationships between these methods. Moreover, in the linear case, the study of
Letizia Pellegrini, Elisa Pagani
core  

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

Multi-robot coordination for underwater Mothership-Passenger systems. [PDF]

Front Robot AI
Butler NL, Hollinger GA, Yu X, Dutta P, Muto A, Garwood JC.   +5 more
europepmc   +1 more source

A Many-Objective Evolutionary Algorithm Based on Dual Selection Strategy. [PDF]

Entropy (Basel), 2023
Peng C, Dai C, Xue X.
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source