General approach for combining modular metaheuristic software frameworks and automatic configuration tools. To discourage the inefficient manual invention and configuration of new metaheuristic ...
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Cost-conscious method helps design automated materials labs before equipment is purchased
A research team from The Hong Kong University of Science and Technology (HKUST) has developed a new modeling and optimization framework that helps researchers design modularized autonomous ...
A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with molecular simulations. As a proof of concept, the group successfully synthesized ...
Combinatorial optimization is the invisible machinery of modern civilization. Whenever a factory schedules its production ...
Potential framework for fully automated processor chip design, including three core components: a) A domain-specific LLM to comprehend the specification and generate a primary design; b) An automated ...
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