Multimodal thin-film transistors, or MMTs, could be pivotal in designing the next-generation of wearables and eco-disposable sensors.
Joining forces to build realistic living tissue
Hybridizing biofabrication processes will lead us to superior “living” tissue and organ substitutes that can be used to treat patients in lieu of donor grafts and metal and plastic devices.
Searching databases without a processor
A new computing paradigm could help us to overcome a key performance bottleneck to improve our ability to query large data bases.
Imagining how “synthetic topology” could reform carbon dioxide catalysis
Solid-state physicists and materials chemists are now in excellent “shape” to expand and accelerate their explorations of the science of topological materials for a wide range of possible applications.
Are AI models explainable in a way that humans can understand them?
A reality-rooted perspective on “explainable AI” and what this means for the future of the field.
Computer simulations of organic materials for next-generation batteries
Computer simulations provide a better means of optimizing, predicting, and understanding experimental observations in the search for new battery materials.
Artificial neural networks built with memristive neurons
Bursting dynamics that mimic the functions of the human brain pave the way for more efficient AI systems.
The high-throughput highway to computational optoelectronic semiconductor screening
High-throughput computational materials screening is turning out to be an efficient highway to optoelectronic semiconductor design.
Are we dehumanizing chemistry?
There is a tremendous sense of joy and elation when a chemist discovers a new molecule, but if we dehumanize the art of science what is left?
A step towards fully computerized device-level engineering
The future will witness a gradual shift in which computational models will play a progressively larger role in identifying new materials for specific purposes.