Machine learning for electrocatalyst and photocatalyst design and discovery
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …
reducing the impact of global warming, and providing solutions to environmental pollution …
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 …
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 …
AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning
Closed-loop, autonomous experimentation enables accelerated and material-efficient
exploration of large reaction spaces without the need for user intervention. However …
exploration of large reaction spaces without the need for user intervention. However …
Carbon Dots for Electroluminescent Light‐Emitting Diodes: Recent Progress and Future Prospects
Y Shi, W Su, F Yuan, T Yuan, X Song, Y Han… - Advanced …, 2023 - Wiley Online Library
Carbon dots (CDs), as emerging carbon nanomaterials, have been regarded as promising
alternatives for electroluminescent light‐emitting diodes (LEDs) owing to their distinct …
alternatives for electroluminescent light‐emitting diodes (LEDs) owing to their distinct …
Artificial intelligence-powered electronic skin
Skin-interfaced electronics is gradually changing medical practices by enabling continuous
and non-invasive tracking of physiological and biochemical information. With the rise of big …
and non-invasive tracking of physiological and biochemical information. With the rise of big …
Regulating the tip effect on single‐atom and cluster catalysts: forming reversible oxygen species with high efficiency in chlorine evolution reaction
Chlorine evolution reaction has been applied in the production since a century ago. After
times of evolution, it has been widely realized by the electrocatalytic process on anode …
times of evolution, it has been widely realized by the electrocatalytic process on anode …
Design, characterization and applications of nanocolloidal hydrogels
SM Morozova, A Gevorkian… - Chemical Society Reviews, 2023 - pubs.rsc.org
Nanocolloidal gels (NCGs) are an emerging class of soft matter, in which nanoparticles act
as building blocks of the colloidal network. Chemical or physical crosslinking enables NCG …
as building blocks of the colloidal network. Chemical or physical crosslinking enables NCG …
Understanding synthesis–structure–performance correlations of nanoarchitectured activated carbons for electrochemical applications and carbon capture
S Zhang, M Zheng, Y Tang, R Zang… - Advanced Functional …, 2022 - Wiley Online Library
Activated carbons are one of the most important classes of high‐surface‐area porous
materials. Owing to their unique structure, low price, and large‐scale production technology …
materials. Owing to their unique structure, low price, and large‐scale production technology …
Toward quantitative surface-enhanced Raman scattering with plasmonic nanoparticles: Multiscale view on heterogeneities in particle morphology, surface …
Surface-enhanced Raman scattering (SERS) provides significantly enhanced Raman
scattering signals from molecules adsorbed on plasmonic nanostructures, as well as the …
scattering signals from molecules adsorbed on plasmonic nanostructures, as well as the …