Computational approaches for organic semiconductors: from chemical and physical understanding to predicting new materials

V Bhat, CP Callaway, C Risko - Chemical Reviews, 2023 - ACS Publications
While a complete understanding of organic semiconductor (OSC) design principles remains
elusive, computational methods─ ranging from techniques based in classical and quantum …

Read between the molecules: computational insights into organic semiconductors

G Gryn'ova, KH Lin, C Corminboeuf - Journal of the American …, 2018 - ACS Publications
The performance and key electronic properties of molecular organic semiconductors are
dictated by the interplay between the chemistry of the molecular core and the intermolecular …

Active discovery of organic semiconductors

C Kunkel, JT Margraf, K Chen, H Oberhofer… - Nature …, 2021 - nature.com
The versatility of organic molecules generates a rich design space for organic
semiconductors (OSCs) considered for electronics applications. Offering unparalleled …

A high throughput molecular screening for organic electronics via machine learning: present status and perspective

A Saeki, K Kranthiraja - Japanese Journal of Applied Physics, 2020 - iopscience.iop.org
Organic electronics such as organic field-effect transistors (OFET), organic light-emitting
diodes (OLED), and organic photovoltaics (OPV) have flourished over the last three …

Coarse-graining organic semiconductors: the path to multiscale design

NE Jackson - The Journal of Physical Chemistry B, 2020 - ACS Publications
Four decades of molecular theory and computation have helped form the modern
understanding of the physical chemistry of organic semiconductors. Whereas these efforts …

Machine learning of molecular electronic properties in chemical compound space

G Montavon, M Rupp, V Gobre… - New Journal of …, 2013 - iopscience.iop.org
The combination of modern scientific computing with electronic structure theory can lead to
an unprecedented amount of data amenable to intelligent data analysis for the identification …

Large-scale computational screening of molecular organic semiconductors using crystal structure prediction

J Yang, S De, JE Campbell, S Li, M Ceriotti… - Chemistry of …, 2018 - ACS Publications
Predictive computational methods have the potential to significantly accelerate the discovery
of new materials with targeted properties by guiding the choice of candidate materials for …

Molecular origin of the charge carrier mobility in small molecule organic semiconductors

P Friederich, V Meded, A Poschlad… - Advanced Functional …, 2016 - Wiley Online Library
Small‐molecule organic semiconductors are used in a wide spectrum of applications,
ranging from organic light emitting diodes to organic photovoltaics. However, the low carrier …

[HTML][HTML] OCELOT: An infrastructure for data-driven research to discover and design crystalline organic semiconductors

Q Ai, V Bhat, SM Ryno, K Jarolimek… - The Journal of …, 2021 - pubs.aip.org
Materials design and discovery are often hampered by the slow pace and materials and
human costs associated with Edisonian trial-and-error screening approaches. Recent …

Fundamental gaps of condensed-phase organic semiconductors from single-molecule calculations using polarization-consistent optimally tuned screened range …

S Bhandari, MS Cheung, E Geva, L Kronik… - Journal of Chemical …, 2018 - ACS Publications
Range-separated hybrid (RSH) functionals have been shown to overcome the tendency of
traditional density functional theory to underestimate the fundamental orbital gap. More …