activity
20222026
most citedA machine learning accelerated inverse design of underwater acoustic polyurethane coatings with cylindrical voids

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

When Agents Disagree: Bayesian Backward Reasoning as a Label-Free Anchor for Multi-Agent Collective Decision-Making

Ken Chen, Wei Wang, Sachith Seneviratne +2

When multiple LLM agents yield conflicting answers, the decision-making process dictates whether agent diversity improves performance or merely compounds shared errors. Existing co…

cs.LG2026

Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models

Ken Chen, Maneesha Perera, Wei Wang +3

Short-term photovoltaic (PV) power and global horizontal irradiance (GHI) forecasts are essential for effective dispatch, reserve scheduling, and grid operations. At these forecast…

cs.LG2025

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design

Hansani Weeratunge, Dominic Robe, Elnaz Hajizadeh

We developed an interpretability informed Bayesian optimization framework to optimize underwater acoustic coatings based on polyurethane elastomers with embedded metamaterial featu…

cs.LG2024

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

Maneesha Perera, Julian De Hoog, Kasun Bandara +2

Accurate forecasts of distributed solar generation are necessary to maintain grid stability amid the increased uptake of distributed solar photovoltaic (PV) systems. However, the h…

physics.chem-ph2022

A novel machine learning enabled hybrid optimization framework for efficient and transferable coarse-graining of a model polymer

Zakiya Shireen, Hansani Weeratunge, Adrian Menzel +4

This work presents a novel framework governing the development of an efficient, accurate, and transferable coarse-grained (CG) model of a polyether material. The proposed framework…

eess.SP2022★ 1 cited

A machine learning accelerated inverse design of underwater acoustic polyurethane coatings with cylindrical voids

Hansani Weeratunge, Zakiya Shireen, Sagar Iyer +5

Here, we report the development of a detailed "Materials Informatics" framework for the design of acoustic coatings for underwater sound attenuation through integrating Machine Lea…