Volume 1 Issue 2, February 2024

At the University of Oklahoma, we developed a high-performance mid-infrared photonic sensing solution for the deployment of a scalable, continuous monitoring network for methane emissions in the Anadarko Basin, one of the largest oil and gas production basins in the USA.

Wafer-to-wafer hybrid bonding is an attractive 3D integration technology for stacking multiple heterogeneous chips with high 3D interconnect density. We highlight recent design and technology innovations that enable hybrid Cu, SiCN-to-Cu and SiCN bonding with interconnect pitches down to an unprecedented 400 nm.

Beyond applications in information technology, medicine, energy storage and environmental technologies, nanotechnology could also find uses in large-scale sciences such as the aerospace industry. Here, we showcase the applications of carbon nanotubes as electron field emitters for neutralizers in satellites, discussing both the fabrication processes and technical prospects.

Many promising technologies created in academic laboratories struggle to transition to industry because of rapid shifts in research direction, funding constraints and complex challenges, hindering their full development. Here, the founders of ‘INBRAIN Neuroelectronics’, a start-up working on graphene-based high-precision neural interface systems, describe how a different outcome is possible.

An article in IEEE Journal on Selected Areas in Communications presents an approach that leverages cell-free massive MIMO technology for optimal network performance with minimal energy consumption.

An article in Science Robotics reports the role of mechanical intelligence in terrestrial limbless locomotion.

Efficient storage of electrical energy is mandatory for the effective transition to electric transport. Metal electrodes — characterized by large specific and volumetric capacities — can enable the next generation of high-energy-density rechargeable batteries. This Review highlights advances and challenges in the field and evaluates future applications.

Increase in clinical digital data is propelling the development and application of artificial intelligence methods in histopathology. In this Review, machine learning algorithms and models and their clinical use cases are discussed, highlighting the computational and operational challenges in the field.

Germanium telluride (GeTe)-based compounds are very promising thermoelectric materials for mid-to-high-temperature applications. This Review summarizes the latest advances in GeTe-based thermoelectrics and discusses challenges and prospects for GeTe thermoelectrics and their modules, highlighting future research directions.

Block copolymer self-assembly provides sub-10-nm periodic nanopatterned structures to fabricate Internet of Things (IoT) hardware components with a cost-effective, large-area approach. This Perspective focuses on how nanostructuring can improve the performance and introduce versatile functionalities to IoT components.