Generative models for molecular discovery: Recent advances and challenges
Abstract Development of new products often relies on the discovery of novel molecules.
While conventional molecular design involves using human expertise to propose …
While conventional molecular design involves using human expertise to propose …
Perspectives for self-driving labs in synthetic biology
Highlights•Self-driving labs (SDLs) combine automated experiments with AI to direct
them.•Synthetic biology provides a unique opportunity for the development of SDLs.•The …
them.•Synthetic biology provides a unique opportunity for the development of SDLs.•The …
Accelerating organic solar cell material's discovery: high-throughput screening and big data
X Rodríguez-Martínez, E Pascual-San-José… - Energy & …, 2021 - pubs.rsc.org
The discovery of novel high-performing materials such as non-fullerene acceptors and low
band gap donor polymers underlines the steady increase of record efficiencies in organic …
band gap donor polymers underlines the steady increase of record efficiencies in organic …
What is missing in autonomous discovery: open challenges for the community
Self-driving labs (SDLs) leverage combinations of artificial intelligence, automation, and
advanced computing to accelerate scientific discovery. The promise of this field has given …
advanced computing to accelerate scientific discovery. The promise of this field has given …
Digital innovation enabled nanomaterial manufacturing; machine learning strategies and green perspectives
Machine learning has been an emerging scientific field serving the modern multidisciplinary
needs in the Materials Science and Manufacturing sector. The taxonomy and mapping of …
needs in the Materials Science and Manufacturing sector. The taxonomy and mapping of …
Machine vision-based detections of transparent chemical vessels toward the safe automation of material synthesis
Although robot-based automation in chemistry laboratories can accelerate the material
development process, surveillance-free environments may lead to dangerous accidents …
development process, surveillance-free environments may lead to dangerous accidents …
Intelligent urbanism with artificial intelligence in shaping tomorrow's smart cities: current developments, trends, and future directions
Z Yan, L Jiang, X Huang, L Zhang, X Zhou - Journal of Cloud Computing, 2023 - Springer
Abstract 21st century has witnessed a profound metamorphosis in human civilization,
primarily driven by the confluence of advanced network technologies and industrial …
primarily driven by the confluence of advanced network technologies and industrial …
Machine learning-driven advanced development of carbon-based luminescent nanomaterials
DAM Muyassiroh, FA Permatasari… - Journal of Materials …, 2022 - pubs.rsc.org
Carbon-based luminescent nanomaterials (CLNMs) have been progressively developed
and exhibit excellent performance in broad applications. However, the unclear formation …
and exhibit excellent performance in broad applications. However, the unclear formation …
A dynamic Bayesian optimized active recommender system for curiosity-driven partially Human-in-the-loop automated experiments
Optimization of experimental materials synthesis and characterization through active
learning methods has been growing over the last decade, with examples ranging from …
learning methods has been growing over the last decade, with examples ranging from …
Performance prediction and experimental optimization assisted by machine learning for organic photovoltaics
ZW Zhao, Y Geng, A Troisi, H Ma - Advanced Intelligent …, 2022 - Wiley Online Library
The improvements of organic photovoltaics (OPVs) are mainly implemented by the design of
novel materials and optimizations of experimental conditions through extensive trial‐and …
novel materials and optimizations of experimental conditions through extensive trial‐and …