Renewed prospects for organic photovoltaics

G Zhang, FR Lin, F Qi, T Heumüller, A Distler… - Chemical …, 2022 - ACS Publications
Organic photovoltaics (OPVs) have progressed steadily through three stages of photoactive
materials development:(i) use of poly (3-hexylthiophene) and fullerene-based acceptors …

Machine learning for a sustainable energy future

Z Yao, Y Lum, A Johnston, LM Mejia-Mendoza… - Nature Reviews …, 2023 - nature.com
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 …

Compromising charge generation and recombination of organic photovoltaics with mixed diluent strategy for certified 19.4% efficiency

T Chen, S Li, Y Li, Z Chen, H Wu, Y Lin… - Advanced …, 2023 - Wiley Online Library
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 …

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 …

Advantages, challenges and molecular design of different material types used in organic solar cells

J Yi, G Zhang, H Yu, H Yan - Nature Reviews Materials, 2024 - nature.com
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 …

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

K Hippalgaonkar, Q Li, X Wang, JW Fisher III… - Nature Reviews …, 2023 - nature.com
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 …

Autonomous chemical experiments: Challenges and perspectives on establishing a self-driving lab

M Seifrid, R Pollice, A Aguilar-Granda… - Accounts of Chemical …, 2022 - ACS Publications
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 …

Nanoparticle synthesis assisted by machine learning

H Tao, T Wu, M Aldeghi, TC Wu… - Nature reviews …, 2021 - nature.com
Many properties of nanoparticles are governed by their shape, size, polydispersity and
surface chemistry. To apply nanoparticles in chemical sensing, medical diagnostics …

An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials

Y Jiang, D Salley, A Sharma, G Keenan, M Mullin… - Science …, 2022 - science.org
We present an autonomous chemical synthesis robot for the exploration, discovery, 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

Y Zhao, T Heumueller, J Zhang, J Luo, O Kasian… - Nature energy, 2022 - nature.com
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 …