A longstanding problem with conventional cancer therapy is the nonspecific distribution of
chemotherapeutics. Monitoring drug release in vivo via noninvasive bioimaging can thus …

Molecular excitons are useful for applications in light harvesting, organic optoelectronics,
and nanoscale computing. Electronic energy transfer (EET) is a process central to the …

Dye aggregates and their excitonic properties are of interest for their applications to organic
photovoltaics, non-linear optics, and quantum information systems. DNA scaffolding has …

Aggregates of conjugated organic molecules (ie, dyes) may exhibit relatively large one-and
two-exciton interaction energies, which has motivated theoretical studies on their potential …

The popularity of data science as a discipline and its importance in the emerging economy
and industrial progress dictate that machine learning be democratized for the masses. This …

Dye molecules, arranged in an aggregate, can display excitonic delocalization. The use of
DNA scaffolding to control aggregate configurations and delocalization is of research …

Inverse materials design can be viewed as a reverse engineering process of material
constituents from a user given set of targets characterizing material properties. Machine …

Designing novel materials and analyzing their properties is a computation intensive process.
Increasingly modern machine learning techniques are being exploited in contemporary …

Noncovalent assemblies constitute some of the most robust and keystone interactions in
biology. Hydrogen bonding, for example, drives hybridization between single DNA strands …

Molecular excitons are useful for applications in light harvesting, organic optoelectronics,
and nanoscale computing. Electronic energy transfer (EET) is a process central to the …