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
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 …
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 …
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 …
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 …
Precision drug delivery to the central nervous system using engineered nanoparticles
Abstract Development of novel therapies for central nervous system (CNS) disorders has
experienced a high failure rate in clinical trials owing to unsatisfactory efficacy and adverse …
experienced a high failure rate in clinical trials owing to unsatisfactory efficacy and adverse …
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 …
[HTML][HTML] Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
I Salahshoori, M Golriz, MAL Nobre, S Mahdavi… - Journal of Molecular …, 2024 - Elsevier
Efficient drug delivery systems (DDSs) play a pivotal role in ensuring pharmaceuticals'
targeted and effective administration. However, the intricate interplay between drug …
targeted and effective administration. However, the intricate interplay between drug …
Efficient removal of greenhouse gases: machine learning-assisted exploration of metal–organic framework space
R **n, C Wang, Y Zhang, R Peng, R Li, J Wang… - ACS …, 2024 - ACS Publications
Global warming is a crisis that humanity must face together. With greenhouse gases (GHGs)
as the main factor causing global warming, the adoption of relevant processes to eliminate …
as the main factor causing global warming, the adoption of relevant processes to eliminate …