journal article·2016Open access

A Bayesian approach to calibrating high-throughput virtual screening results and application to organic photovoltaic materials

Edward O. Pyzer-Knapp, Gregor N. Simm, Alán Aspuru Guzik

Materials Horizons· Volume 3· Issue 3

Abstract

A novel approach for calibrating quantum-chemical properties determined as part of a high-throughput virtual screen to experimental analogs is presented.
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short

Research context

OpenAlex topics: Machine Learning in Materials Science · Integrated Circuits and Semiconductor Failure Analysis · Electron and X-Ray Spectroscopy Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry and Chemical Biology

Harvard University

Cambridge

USA

Department of Chemistry and Applied Biosciences

ETH Zürich

Zürich

Switzerland

Funding

U.S. Department of Energy

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