Distributed computing has demonstrated its power in domains such as molecular dynamics simulation. Novel distributed ledger (blockchain) technology allows more general computations to be performed at scale, notably for machine learning. It also enables new forms of collaboration. Examples include cryptographically secure computation on sensitive data, including joint training of models without each party exposing its data; joint calibration of equipment; and zero-knowledge validation of results.

Applications of Verifiable Decentralization Technology for Chemistry

ACS Fall 2021

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.