Accelerating the discovery of new molecules and materials, as well as developing green
and sustainable ways to synthesize them, will help to address global challenges in energy …

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 …

Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

Artificial intelligence, especially machine learning (ML) and deep learning (DL) algorithms,
is becoming an important tool in the fields of materials and mechanical engineering …

Solutions to many of the world's problems depend upon materials research and
development. However, advanced materials can take decades to discover and decades …

Useful materials must satisfy multiple objectives, where the optimization of one objective is
often at the expense of another. The Pareto front reports the optimal trade-offs between …

The exciting advancements in 3D-printing of soft materials are changing the landscape of
materials development and fabrication. Among various 3D-printers that are designed for soft …

Biodegradable magnesium (Mg) alloys exhibit excellent biocompatibility, adequate
mechanical properties, and osteogenic effect. They can contribute to complete recovery of …

Developing a scalable manufacturing technique for perovskite solar cells requires process
optimization in high-dimensional parameter space. Herein, we present a machine learning …

We leveraged the power of ChatGPT and Bayesian optimization in the development of a
multi-AI-driven system, backed by seven large language model-based assistants and …