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 …

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 …

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 …

Toward an AI Era: advances in electronic skins

X Fu, W Cheng, G Wan, Z Yang, BCK Tee - Chemical Reviews, 2024 - ACS Publications
Electronic skins (e-skins) have seen intense research and rapid development in the past two
decades. To mimic the capabilities of human skin, a multitude of flexible/stretchable sensors …

[HTML][HTML] Unleashing the power of artificial intelligence in materials design

S Badini, S Regondi, R Pugliese - Materials, 2023 - mdpi.com
The integration of artificial intelligence (AI) algorithms in materials design is revolutionizing
the field of materials engineering thanks to their power to predict material properties, design …

Intelligent disassembly of electric-vehicle batteries: a forward-looking overview

K Meng, G Xu, X Peng, K Youcef-Toumi, J Li - … , Conservation and Recycling, 2022 - Elsevier
Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …

AI for nanomaterials development in clean energy and carbon capture, utilization and storage (CCUS)

H Chen, Y Zheng, J Li, L Li, X Wang - ACS nano, 2023 - ACS Publications
Zero-carbon energy and negative emission technologies are crucial for achieving a carbon
neutral future, and nanomaterials have played critical roles in advancing such technologies …

Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0

XQ Wang, P Chen, CL Chow, D Lau - Matter, 2023 - cell.com
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …

Bridging multiscale characterization technologies and digital modeling to evaluate lithium battery full lifecycle

X Liu, L Zhang, H Yu, J Wang, J Li… - Advanced energy …, 2022 - Wiley Online Library
The safety, durability and power density of lithium‐ion batteries (LIBs) are currently
inadequate to satisfy the continuously growing demand of the emerging battery markets …

Machine learning for battery research

Z Wei, Q He, Y Zhao - Journal of Power Sources, 2022 - Elsevier
Batteries are vital energy storage carriers in industry and in our daily life. There is continued
interest in the developments of batteries with excellent service performance and safety …