Results 201 to 210 of about 5,446,945 (286)

Machine Learning Potential for Calcium Silicate Hydrates With Broad Compositional and Structural Diversity

open access: yesAdvanced Science, EarlyView.
Existing machine learning potentials remain limited in their ability to generalize across the broad chemical and structural variability of C–S–H. Here, a representative DFT‐labeled dataset is constructed through large‐scale model generation, redundancy‐controlled screening, first‐principles optimization, and targeted sampling of non‐equilibrium ...
Yunjian Li   +4 more
wiley   +1 more source

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

open access: yesAdvanced Science, EarlyView.
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei   +3 more
wiley   +1 more source

An Expertise Transfer Framework For Autonomous Surgical Assistance

open access: yesAdvanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao   +12 more
wiley   +1 more source

Sea Cucumber‐Inspired Double‐Network Biopolymer Hydrogels for Programmable Soft Machines

open access: yesAdvanced Science, EarlyView.
Inspired by the mutable dermis of sea cucumbers, the collagen‐alginate double‐network elastomeric (CoDE) hydrogel achieves programmable, recoverable, and functional mechanical behavior. The CoDE hydrogel mimics the mutable stiffness of the sea cucumber dermis through a densified collagen cryogel scaffold that is secondarily reinforced by a dissipative,
Luo Yan   +3 more
wiley   +1 more source

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

open access: yesAdvanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang   +4 more
wiley   +1 more source

Latent Profiles in the Perception of Knowledge in Emotional Education During Initial Teacher Training: A Retrospective Study of Chilean In-Service Teachers. [PDF]

open access: yesBehav Sci (Basel)
Fuentes-Vilugrón G   +4 more
europepmc   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

open access: yesAdvanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang   +6 more
wiley   +1 more source

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