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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 …
Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
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 …
to wonder what lessons can be learned from other fields undergoing similar developments …
Nanoparticle synthesis assisted by machine learning
Many properties of nanoparticles are governed by their shape, size, polydispersity and
surface chemistry. To apply nanoparticles in chemical sensing, medical diagnostics …
surface chemistry. To apply nanoparticles in chemical sensing, medical diagnostics …
Toward an AI Era: advances in electronic skins
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 …
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
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 …
the field of materials engineering thanks to their power to predict material properties, design …
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
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 …
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)
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 …
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
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
demands advances in materials, devices, and systems of the construction industry …
Bridging multiscale characterization technologies and digital modeling to evaluate lithium battery full lifecycle
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 …
inadequate to satisfy the continuously growing demand of the emerging battery markets …
Machine learning for battery research
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 …
interest in the developments of batteries with excellent service performance and safety …