James R. Howard

The University of Texas at Austin

Papers

1

Total Citations

10

H-Index

1

About

James R. Howard is a leading researcher in the field of molecular information storage, with a particular focus on abiotic sequence-defined polymers. His work bridges synthetic chemistry and data science, aiming to revolutionize how information is encoded and retrieved at the molecular level. Howard’s most notable contribution is the development of an automated workflow for the synthesis, chain-end degradation, and rapid mass spectrometry analysis of sequence-defined oligourethanes. This breakthrough directly addresses a critical bottleneck in the field: the slow throughput that has hindered progress as information density increases. By automating these processes, Howard’s research enables faster, more reliable encoding and reading of molecular data, paving the way for practical applications in data storage. His work has already garnered significant attention, with his 2025 paper accumulating 10 citations in its first year, reflecting its immediate impact. Howard’s achievements position him at the forefront of a nascent but rapidly evolving discipline, where his innovations are helping to transform theoretical concepts into scalable, real-world technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Workflow Enabling the Automated Synthesis, Chain-End Degradation, and Rapid Mass Spectrometry Analysis for Molecular Information Storage in Sequence-Defined Oligourethanes
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago