Development of an integrated intelligent BIM-based model for multi-objective optimization in engineering assembly processes. [PDF]
Zhang Y.
europepmc +1 more source
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
Deep reinforcement learning for scheduling semiconductor cluster tools in varying configurations. [PDF]
Choi J, Kim SB.
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Optimized multi agent reinforcement learning algorithms with hybrid BiLSTM for cost efficient EV charging scheduling. [PDF]
Khekare U, Vedaraj I S R.
europepmc +1 more source
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley +1 more source
Optimization of urban and rural electric bus scheduling considering mobile battery pack deployment. [PDF]
Chen S, Chang A, Cong Y.
europepmc +1 more source
New class-based dynamic scheduling strategy for self-management of packets at the internet routers.
Hanaa Hassanein Mohammed +2 more
openalex +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
AI-enhanced multi-timescale optimization strategy for virtual power plants: Advancing losad forecasting and dynamic demand response integration. [PDF]
Xu G +5 more
europepmc +1 more source

