Renewed prospects for organic photovoltaics
Organic photovoltaics (OPVs) have progressed steadily through three stages of photoactive
materials development:(i) use of poly (3-hexylthiophene) and fullerene-based acceptors …
materials development:(i) use of poly (3-hexylthiophene) and fullerene-based acceptors …
Machine learning for a sustainable energy future
Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it
demands advances—at the materials, devices and systems levels—for the efficient …
demands advances—at the materials, devices and systems levels—for the efficient …
Compromising charge generation and recombination of organic photovoltaics with mixed diluent strategy for certified 19.4% efficiency
The ternary blend is demonstrated as an effective strategy to promote the device
performance of organic photovoltaics (OPVs) due to the dilution effect. While the …
performance of organic photovoltaics (OPVs) due to the dilution effect. While the …
A mobile robotic chemist
Technologies such as batteries, biomaterials and heterogeneous catalysts have functions
that are defined by mixtures of molecular and mesoscale components. As yet, this multi …
that are defined by mixtures of molecular and mesoscale components. As yet, this multi …
The rise of self-driving labs in chemical and materials sciences
Accelerating the discovery of new molecules and materials, as well as develo** green
and sustainable ways to synthesize them, will help to address global challenges in energy …
and sustainable ways to synthesize them, will help to address global challenges in energy …
Nanoparticle synthesis assisted by machine learning
Many properties of nanoparticles are governed by their shape, size, polydispersity and
surface chemistry. To apply nanoparticles in chemical sensing, medical diagnostics …
surface chemistry. To apply nanoparticles in chemical sensing, medical diagnostics …
Advantages, challenges and molecular design of different material types used in organic solar cells
The performance of organic solar cells (OSCs) has increased substantially over the past 10
years, owing to the development of various high-performance organic electron–acceptor …
years, owing to the development of various high-performance organic electron–acceptor …
A history and perspective of non‐fullerene electron acceptors for organic solar cells
Organic solar cells are composed of electron donating and accepting organic
semiconductors. Whilst a significant palette of donors has been developed over three …
semiconductors. Whilst a significant palette of donors has been developed over three …
Self-driving laboratories for chemistry and materials science
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …
Through the automation of experimental workflows, along with autonomous experimental …
Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
As materials researchers increasingly embrace machine-learning (ML) methods, it is natural
to wonder what lessons can be learned from other fields undergoing similar developments …
to wonder what lessons can be learned from other fields undergoing similar developments …