Singlet–Triplet Inversion in Triangular Boron Carbon Nitrides
M Bedogni, F Di Maiolo - Journal of Chemical Theory and …, 2024 - ACS Publications
The discovery of singlet–triplet (ST) inversion in some π-conjugated triangle-shaped boron
carbon nitrides is a remarkable breakthrough that defies Hund's first rule. Deeply rooted in …
carbon nitrides is a remarkable breakthrough that defies Hund's first rule. Deeply rooted in …
Turning on Organic Radical Emitters
M Dubbini, F Bonvini, L Savi… - The Journal of Physical …, 2024 - ACS Publications
Radical emitters have attracted considerable interest because of their potential to surpass
the limitations of singlet emitters due to spin statistics, thereby revolutionizing organic LEDs …
the limitations of singlet emitters due to spin statistics, thereby revolutionizing organic LEDs …
Benchmark computations of nearly degenerate singlet and triplet states of N-heterocyclic chromophores. II. Density-based methods
In this paper, we demonstrate the performance of several density-based methods in
predicting the inversion of S 1 and T 1 states of a few N-heterocyclic triangulene based …
predicting the inversion of S 1 and T 1 states of a few N-heterocyclic triangulene based …
Multiscale Modeling of Charge Transport in Organic Semiconductors: Assessing the Validity of the Harmonic Approximation for Low-Frequency Vibrations
In recent years, the importance of intrinsic disorder in organic semiconductors has gained
increasing attention as a factor limiting transport properties in these substrates. In particular …
increasing attention as a factor limiting transport properties in these substrates. In particular …
Excited-State Hund's Rule Violations in Bridged [10]-and [14] Annulene Perimeters
JT Blaskovits, C Corminboeuf… - The Journal of Physical …, 2024 - ACS Publications
Molecules with Hund's rule violations between low-lying singlet and triplet states may
enable a new generation of fluorescent emitters. However, only a few classes of molecules …
enable a new generation of fluorescent emitters. However, only a few classes of molecules …
Self-supervised feature distillation and design of experiments for efficient training of micromechanical deep learning surrogates
Machine learning surrogate emulators are needed in engineering design and optimization
tasks to rapidly emulate computationally expensive physics-based models. In …
tasks to rapidly emulate computationally expensive physics-based models. In …