Vahid Attari

According to our database, Vahid Attari authored at least 6 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DataScribe: An AI-Native, Policy-Aligned Web Platform for Multi-Objective Materials Design and Discovery.

Divyanshu Singh, Doguhan Saritürk, Cameron Lea, Md Shafiqul Islam, Raymundo Arróyave, Vahid Attari

CoRR, January, 2026

2025

Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns.

Sk Md Ahnaf Akif Alvi, Brent Vela, Vahid Attari, Jan Janssen, Danny Perez, Douglas L. Allaire, Raymundo Arróyave

CoRR, September, 2025

Data Driven Insights into Composition Property Relationships in FCC High Entropy Alloys.

Nicolas Flores, Daniel Salas Mula, Wenle Xu, Sahu Bibhu, Daniel Lewis, Alexandra Eve Salinas, Samantha Mitra, Raj Mahat, Surya R. Kalidindi, Justin Wilkerson, James Paramore, Ankit Srivastiva, George Pharr, Douglas L. Allaire, Ibrahim Karaman, Brady Butler, Vahid Attari, Raymundo Arróyave

CoRR, August, 2025

Accurate and Uncertainty-Aware Multi-Task Prediction of HEA Properties Using Prior-Guided Deep Gaussian Processes.

Sk Md Ahnaf Akif Alvi, Mrinalini Mulukutla, Nicolas Flores, Danial Khatamsaz, Jan Janssen, Danny Perez, Douglas L. Allaire, Vahid Attari, Raymundo Arróyave

CoRR, June, 2025

2023

Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples.

Danial Khatamsaz, Vahid Attari, Raymundo Arróyave, Douglas L. Allaire

CoRR, 2023

2020

Deep Multimodal Transfer-Learned Regression in Data-Poor Domains.

Levi D. McClenny, Mulugeta A. Haile, Vahid Attari, Brian M. Sadler, Ulisses M. Braga-Neto, Raymundo Arróyave

CoRR, 2020