52 citations · 55 across the 4 of their papers we have counts for
4 papers · 1 filter
nimCSO: A Nim package for Compositional Space Optimization
Adam M. Krajewski, Arindam Debnath, Wesley F. Reinhart +2
nimCSO is a high-performance tool implementing several methods for selecting components (data dimensions) in compositional datasets, which optimize the data availability and densit…
Comparing Forward and Inverse Design Paradigms: A Case Study on Refractory High-Entropy Alloys
Arindam Debnath, Lavanya Raman, Wenjie Li +7
The rapid design of advanced materials is a topic of great scientific interest. The conventional, ``forward'' paradigm of materials design involves evaluating multiple candidates t…
Investigating representation schemes for surrogate modeling of High Entropy Alloys
Arindam Debnath, Wesley F Reinhart
The design of new High Entropy Alloys that can achieve exceptional mechanical properties is presently of great interest to the materials science community. However, due to the diff…
Generative deep learning as a tool for inverse design of high-entropy refractory alloys
Arindam Debnath, Adam M. Krajewski, Hui Sun +9
Generative deep learning is powering a wave of new innovations in materials design. In this article, we discuss the basic operating principles of these methods and their advantages…