This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Reflections from a recent panel discussion at DAC, The Chips to Systems Conference held at Moscone West on the CHIPS Act's impact on the design ecosystem ...

While it is accepted that extracellular vesicles (EVs)-mediated transfer of microRNAs contributes to intercellular communication, the knowledge about molecular mechanisms controlling the selective and ...

Chemists at ETH Zurich have developed a new computer process that enables the generation of active pharmaceutical ingredients at speed, based on a protein’s three-dimensional surface. The new ...

ARK DEFAI, a decentralized intelligence framework, is reimagining the foundations of coordination by integrating artificial ...

Permanent magnet arc motor (PMAM) is widely used in some scanning systems, such as the astronomical telescopes and large antennas. In order to address the optimization design of the PMAM, a new ...

As most systems these days are highly reliable with long lifetimes, failures of systems become rare; consequently, traditional failure time analysis may not be able to provide a precise assessment of ...

Cancer persists as a leading cause of mortality worldwide, underscoring the urgent need to decipher its molecular complexity for improved detection, ...