1 citations · 2 across the 10 of their papers we have counts for
11 papers
Structure-Exploiting ADMM for Low-Complexity Finite-Blocklength Beamforming in Cellular IoT Networks
Asim Ihsan, Muhammad Asif, Ali Arshad Nasir +3
Ultra-reliable and low-latency communication (URLLC) is essential for mission-critical cellular Internet of Things (IoT) applications requiring reliable short-packet transmission a…
TO-Agents: A Multi-Agent AI Framework for Subjective Preference-Guided Topology Optimization
Isabella A. Stewart, Hongrui Chen, Faez Ahmed
Topology optimization can generate efficient structures, but designers often must manually translate qualitative intent, such as desired visual style, product experience, or manufa…
TopoCtrl: Post-Optimization Topology Editing Toward Target Structural Characteristics
Hongrui Chen, Dat Quoc Ha, Josephine V. Carstensen +1
Topology optimization can generate high-performance structures, but designers often need to revise the resulting topology in ways that reflect fabrication preferences, structural i…
TopoEdit: Fast Post-Optimization Editing of Topology Optimized Structures
Hongrui Chen, Josephine V. Carstensen, Faez Ahmed
Despite topology optimization producing high-performance structures, late-stage localized revisions remain brittle: direct density-space edits (e.g., warping pixels, inserting hole…
Heterogeneous Metamaterials Design via Multiscale Neural Implicit Representation
Hongrui Chen, Liwei Wang, Levent Burak Kara
Metamaterials are engineered materials composed of specially designed unit cells that exhibit extraordinary properties beyond those of natural materials. Complex engineering tasks…
Generative Manufacturing: A requirements and resource-driven approach to part making
Hongrui Chen, Aditya Joglekar, Zack Rubinstein +6
Advances in CAD and CAM have enabled engineers and design teams to digitally design parts with unprecedented ease. Software solutions now come with a range of modules for optimizin…
Multi-scale Topology Optimization using Neural Networks
Hongrui Chen, Xingchen Liu, Levent Burak Kara
A long-standing challenge is designing multi-scale structures with good connectivity between cells while optimizing each cell to reach close to the theoretical performance limit. W…
Inference of highly time-resolved melt pool visual characteristics and spatially-dependent lack-of-fusion defects in laser powder bed fusion using acoustic and thermal emission data
Haolin Liu, Christian Gobert, Kevin Ferguson +5
With a growing demand for high-quality fabrication, the interest in real-time process and defect monitoring of laser powder bed fusion (LPBF) has increased, leading manufacturers t…
Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency
Hongrui Chen, Aditya Joglekar, Levent Burak Kara
We propose conditioning field initialization for neural network based topology optimization. In this work, we focus on (1) improving upon existing neural network based topology opt…
DMF-TONN: Direct Mesh-free Topology Optimization using Neural Networks
Aditya Joglekar, Hongrui Chen, Levent Burak Kara
We propose a direct mesh-free method for performing topology optimization by integrating a density field approximation neural network with a displacement field approximation neural…
Concurrent build direction, part segmentation, and topology optimization for additive manufacturing using neural networks
Hongrui Chen, Aditya Joglekar, Kate S. Whitefoot +1
We propose a neural network-based approach to topology optimization that aims to reduce the use of support structures in additive manufacturing. Our approach uses a network archite…