The reformation of catalyst: From a trial-and-error synthesis to rational design
L Wang, J Wu, S Wang, H Liu, Y Wang, D Wang - Nano Research, 2024 - Springer
The appropriate catalysts can accelerate the reaction rate and effectively boost the efficient
conversion of various molecules, which is of great importance in the study of chemistry …
conversion of various molecules, which is of great importance in the study of chemistry …
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 …
Artificial intelligence: A powerful paradigm for scientific research
Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well
known from computer science is broadly affecting many aspects of various fields including …
known from computer science is broadly affecting many aspects of various fields including …
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 …
Autonomous experimentation systems for materials development: A community perspective
Solutions to many of the world's problems depend upon materials research and
development. However, advanced materials can take decades to discover and decades …
development. However, advanced materials can take decades to discover and decades …
Recent advances and applications of machine learning in solid-state materials science
One of the most exciting tools that have entered the material science toolbox in recent years
is machine learning. This collection of statistical methods has already proved to be capable …
is machine learning. This collection of statistical methods has already proved to be capable …
Intercalation chemistry of graphite: alkali metal ions and beyond
Reversibly intercalating ions into host materials for electrochemical energy storage is the
essence of the working principle of rocking-chair type batteries. The most relevant example …
essence of the working principle of rocking-chair type batteries. The most relevant example …
[PDF][PDF] Managing artificial intelligence.
Managing artificial intelligence (AI) marks the dawn of a new age of information technology
management. Managing AI involves communicating, leading, coordinating, and controlling …
management. Managing AI involves communicating, leading, coordinating, and controlling …
A critical review of machine learning of energy materials
Abstract Machine learning (ML) is rapidly revolutionizing many fields and is starting to
change landscapes for physics and chemistry. With its ability to solve complex tasks …
change landscapes for physics and chemistry. With its ability to solve complex tasks …
Predictive analytics and machine learning for real-time supply chain risk mitigation and agility
A Aljohani - Sustainability, 2023 - mdpi.com
Supply chain agility has become a key success factor for businesses trying to handle
upheavals and uncertainty in today's quickly changing business environment. Proactive risk …
upheavals and uncertainty in today's quickly changing business environment. Proactive risk …