170 citations · 320 across the 22 of their papers we have counts for
3 papers · 1 filter
DataScribe: An AI-Native, Policy-Aligned Web Platform for Multi-Objective Materials Design and Discovery
Divyanshu Singh, Doguhan Sarıtürk, Cameron Lea +3
The acceleration of materials discovery requires digital platforms that go beyond data repositories to embed learning, optimization, and decision-making directly into research work…
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 +6
Surrogate modeling techniques have become indispensable in accelerating the discovery and optimization of high-entropy alloys(HEAs), especially when integrating computational predi…
Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples
Danial Khatamsaz, Vahid Attari, Raymundo Arroyave +1
Uncertainty analysis in the outcomes of model predictions is a key element in decision-based material design to establish confidence in the models and evaluate the fidelity of mode…