activity
20202025
most citedpolyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics

268 citations · 849 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.supr-con2025★ 6 cited

Superconductor discovery in the emerging paradigm of Materials Informatics

Huan Tran, Hieu-Chi Dam, Christopher Kuenneth +2

The last two decades have witnessed a tremendous number of computational predictions of hydride-based (phonon-mediated) superconductors, mostly at extremely high pressures, i.e., h…

cond-mat.soft2023★ 22 cited

Polymer Informatics Beyond Homopolymers

Shivank S. Shukla, Christopher Kuenneth, Rampi Ramprasad

Polymers are diverse and versatile materials that have met a wide range of material application demands. They come in several flavors and architectures, e.g., homopolymers, copolym…

cond-mat.mtrl-sci2022★ 268 cited

polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics

Christopher Kuenneth, Rampi Ramprasad

Polymers are a vital part of everyday life. Their chemical universe is so large that it presents unprecedented opportunities as well as significant challenges to identify suitable…

cond-mat.mtrl-sci2022★ 118 cited

Polymer informatics at-scale with multitask graph neural networks

Rishi Gurnani, Christopher Kuenneth, Aubrey Toland +1

Artificial intelligence-based methods are becoming increasingly effective at screening libraries of polymers down to a selection that is manageable for experimental inquiry. The va…

cond-mat.mtrl-sci2022★ 59 cited

Bioplastic Design using Multitask Deep Neural Networks

Christopher Kuenneth, Jessica Lalonde, Babetta L. Marrone +3

Non-degradable plastic waste stays for decades on land and in water, jeopardizing our environment; yet our modern lifestyle and current technologies are impossible to sustain witho…

cond-mat.mtrl-sci2021★ 111 cited

Copolymer Informatics with Multi-Task Deep Neural Networks

Christopher Künneth, William Schertzer, Rampi Ramprasad

Polymer informatics tools have been recently gaining ground to efficiently and effectively develop, design, and discover new polymers that meet specific application needs. So far,…

cond-mat.soft2020★ 265 cited

Polymer Informatics: Current Status and Critical Next Steps

Lihua Chen, Ghanshyam Pilania, Rohit Batra +4

Artificial intelligence (AI) based approaches are beginning to impact several domains of human life, science and technology. Polymer informatics is one such domain where AI and mac…