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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems society information

open access: yesIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020
The IEEE T RANSACTIONS ON C OMPUTER -A IDED D ESIGN OF I NTEGRATED C IRCUITS AND S YSTEMS publishes manuscripts focusing on methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning ...

semanticscholar   +1 more source

Representation Learning for Sequential Volumetric Design Tasks [PDF]

open access: yes, 2023
Volumetric design, also called massing design, is the first and critical step in professional building design which is sequential in nature. As the volumetric design process requires careful design decisions and iterative adjustments, the underlying sequential design process encodes valuable information for designers.
arxiv   +1 more source

How neocarcerand Octacid4 self-assembles with guests into irreversible noncovalent complexes and what accelerates the assembly

open access: yesCommunications Chemistry, 2022
Neocarcerand Octacid4 can assemble with small molecule guests at room temperature to produce irreversible noncovalent bimolecular complexes, but the nature of the self-assembly pathway remains poorly understood.
Yuan-Ping Pang
doaj   +1 more source

G-optimal grid designs for kriging models [PDF]

open access: yesarXiv, 2021
This work is focused on finding G-optimal designs theoretically for kriging models with two-dimensional inputs and separable exponential covariance structures. For design comparison, the notion of evenness of two-dimensional grid designs is developed. The mathematical relationship between the design and the supremum of the mean squared prediction error
arxiv  

Computer-Aided Design of Microfluidic Circuits.

open access: yesAnnual Review of Biomedical Engineering, 2020
Microfluidic devices developed over the past decade feature greater intricacy, increased performance requirements, new materials, and innovative fabrication methods.
Elishai Ezra Tsur
semanticscholar   +1 more source

hERG Blockade Prediction by Combining Site Identification by Ligand Competitive Saturation and Physicochemical Properties

open access: yesChemistry, 2022
The human ether-a-go-go-related gene (hERG) potassium channel is a well-known contributor to drug-induced cardiotoxicity and therefore is an extremely important target when performing safety assessments of drug candidates.
Himanshu Goel   +2 more
doaj   +1 more source

Identification of the viscoelastic boundary conditions of Euler‐Bernoulli beams using transmissibility

open access: yesEngineering Reports, 2019
A new method to identify the viscoelastic boundary conditions of Euler‐Bernoulli beams under forced response is here presented. The boundary conditions and transmissibility function with viscoelastic expressions in terms of the Green function are ...
Guandong Qiao, Salam Rahmatalla
doaj   +1 more source

Industrial Environmental Impact Assessment Method Based on Detection of Complex Anomalies in Time Series

open access: yesApplied System Innovation
To minimize the environmental impact of energy enterprises, it is important to promptly identify cases of possible changes in the quality of wastewater generated at power plants, that is, cases of exceeding the maximum permissible concentrations of ...
Elena Safonova   +5 more
doaj   +1 more source

BOgen: Generating Part-Level 3D Designs Based on User Intention Inference through Bayesian Optimization and Variational Autoencoder [PDF]

open access: yesarXiv, 2023
Advancements in generative artificial intelligence (AI) have introduced various AI models capable of producing impressive visual design outputs. However, when it comes to AI models in the design process, prioritizing outputs that align with designers' needs over mere visual craftsmanship becomes even more crucial.
arxiv  

Deep Generative Design: Integration of Topology Optimization and Generative Models [PDF]

open access: yesJournal of Mechanical Design, 141(11), 111405, 2019
Deep learning has recently been applied to various research areas of design optimization. This study presents the need and effectiveness of adopting deep learning for generative design (or design exploration) research area. This work proposes an artificial intelligent (AI)-based design automation framework that is capable of generating numerous design ...
arxiv   +1 more source

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