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 …
The rise of self-driving labs in chemical and materials sciences
M Abolhasani, E Kumacheva - Nature Synthesis, 2023 - nature.com
Accelerating the discovery of new molecules and materials, as well as developing 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 …
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 …
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 …
Autonomous chemical experiments: Challenges and perspectives on establishing a self-driving lab
Conspectus We must accelerate the pace at which we make technological advancements to
address climate change and disease risks worldwide. This swifter pace of discovery requires …
address climate change and disease risks worldwide. This swifter pace of discovery requires …
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 …
An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials
We present an autonomous chemical synthesis robot for the exploration, discovery, and
optimization of nanostructures driven by real-time spectroscopic feedback, theory, and …
optimization of nanostructures driven by real-time spectroscopic feedback, theory, and …
A bilayer conducting polymer structure for planar perovskite solar cells with over 1,400 hours operational stability at elevated temperatures
The long-term stability of perovskite solar cells remains a challenge. Both the perovskite
layer and the device architecture need to endure long-term operation. Here we first use a …
layer and the device architecture need to endure long-term operation. Here we first use a …