Sustainable Concrete via Bayesian Optimization

1 code implementation • 27 Oct 2023 • Sebastian Ament, Andrew Witte, Nishant Garg, Julius Kusuma

Herein, we 1) propose modeling steps that make concrete strength amenable to be predicted accurately by a Gaussian process model with relatively few measurements, 2) formulate the search for sustainable concrete as a multi-objective optimization problem, and 3) leverage the proposed model to carry out multi-objective BO with real-world strength measurements of the algorithmically proposed mixes.

Bayesian Optimization Experimental Design

Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers

no code implementations • 11 Apr 2022 • Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney

Finally, we report on how these formulations were used in the construction of buildings and structures in a Meta data center in DeKalb, IL, USA.

SuperCell: A Wide-Area Coverage Solution Using High-Gain, High-Order Sectorized Antennas on Tall Towers

no code implementations • 30 Nov 2020 • Pratheep Bondalapati, Abhishek Tiwari, Mustafa Emin Sahin, Qi Tang, Srishti Saraswat, Vishvas Suryakumar, Ali Yazdan, Julius Kusuma, Amit Dubey

Finally, in this article we also shed light on two recent SuperCell field trials performed using a Luneburg lens antenna system.

Vocal Bursts Intensity Prediction