Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
The golden age of thermally activated delayed fluorescence materials: design and exploitation
JM Dos Santos, D Hall, B Basumatary… - Chemical …, 2024 - ACS Publications
Since the seminal report by Adachi and co-workers in 2012, there has been a veritable
explosion of interest in the design of thermally activated delayed fluorescence (TADF) …
explosion of interest in the design of thermally activated delayed fluorescence (TADF) …
Modeling excited states of molecular organic aggregates for optoelectronics
Light-driven phenomena in organic molecular aggregates underpin several mechanisms
relevant to optoelectronic applications. Modeling these processes is essential for aiding the …
relevant to optoelectronic applications. Modeling these processes is essential for aiding the …
Identification of unknown inverted singlet–triplet cores by high-throughput virtual screening
Molecules where the energy of the lowest excited singlet state is found below the energy of
the lowest triplet state (inverted singlet–triplet molecules) are extremely rare. It is particularly …
the lowest triplet state (inverted singlet–triplet molecules) are extremely rare. It is particularly …
Open questions on the photophysics of thermally activated delayed fluorescence
The process of thermally activated delayed fluorescence (TADF) converts non-radiative
triplet states into emissive singlet states. Herein we outline the fundamentals of TADF, some …
triplet states into emissive singlet states. Herein we outline the fundamentals of TADF, some …
Self-improving photosensitizer discovery system via bayesian search with first-principle simulations
Artificial intelligence (AI) based self-learning or self-improving material discovery system will
enable next-generation material discovery. Herein, we demonstrate how to combine …
enable next-generation material discovery. Herein, we demonstrate how to combine …
Molecular geometry impact on deep learning predictions of inverted singlet–triplet gaps
We present a deep learning model able to predict excited singlet–triplet gaps with a mean
absolute error (MAE) of≈ 20 meV to obtain potential inverted singlet–triplet (IST) …
absolute error (MAE) of≈ 20 meV to obtain potential inverted singlet–triplet (IST) …
Precise Regulation on the Bond Dissociation Energy of Exocyclic C–N Bonds in Various N-Heterocycle Electron Donors via Machine Learning
QY Meng, R Wang, HY Shao, YL Wang… - The Journal of …, 2024 - ACS Publications
Heterocycles with saturated N atoms (HetSNs) are widely used electron donors in organic
light-emitting diode (OLED) materials. Their relatively low bond dissociation energy (BDE) of …
light-emitting diode (OLED) materials. Their relatively low bond dissociation energy (BDE) of …
High-throughput virtual screening for organic electronics: a comparative study of alternative strategies
We present a review of the field of high-throughput virtual screening for organic electronics
materials focusing on the sequence of methodological choices that determine each virtual …
materials focusing on the sequence of methodological choices that determine each virtual …
Rapid predictions of the colour purity of luminescent organic molecules
Designing luminescent organic materials exhibiting narrowband emission is crucial for
achieving high resolution and energy efficient organic light emitting diodes (OLEDs), but …
achieving high resolution and energy efficient organic light emitting diodes (OLEDs), but …
Organic materials repurposing, a data set for theoretical predictions of new applications for existing compounds
We present a data set of 48182 organic semiconductors, constituted of molecules that were
prepared with a documented synthetic pathway and are stable in solid state. We based our …
prepared with a documented synthetic pathway and are stable in solid state. We based our …