Machine learning for electrocatalyst and photocatalyst design and discovery

H Mai, TC Le, D Chen, DA Winkler… - Chemical …, 2022 - ACS Publications
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
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 develo** green
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

AA Volk, RW Epps, DT Yonemoto, BS Masters… - Nature …, 2023 - nature.com
Closed-loop, autonomous experimentation enables accelerated and material-efficient
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

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 …

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 …

Precision drug delivery to the central nervous system using engineered nanoparticles

J Gao, Z **a, S Gunasekar, C Jiang, JM Karp… - Nature Reviews …, 2024 - nature.com
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 …

Artificial intelligence-powered electronic skin

C Xu, SA Solomon, W Gao - Nature machine intelligence, 2023 - nature.com
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 …

Regulating the tip effect on single‐atom and cluster catalysts: forming reversible oxygen species with high efficiency in chlorine evolution reaction

J Yang, WH Li, K Xu, S Tan, D Wang… - Angewandte Chemie, 2022 - Wiley Online Library
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 …

[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 …

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 …