Results 181 to 190 of about 5,076 (254)

Bridging complexity: AI-guided regional anaesthesia in anticoagulated trauma patients. [PDF]

open access: yesJ Anesth Analg Crit Care
Pascarella G   +4 more
europepmc   +1 more source

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

open access: yesAdvanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

open access: yesAdvanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang   +4 more
wiley   +1 more source

From Circuits to Symphonies: A Systems‐Engineering Blueprint for Multimicrobial Synthetic Biology

open access: yesAdvanced Science, EarlyView.
Engineering synthetic microbial consortia requires moving beyond intracellular genetic circuits toward coordinated multicellular design. A modular systems‐engineering framework is presented that integrates communication, temporal coordination, ecological structuring, and predictive modeling to guide application‐dependent consortium design ...
Miguel Fernández‐Niño   +9 more
wiley   +1 more source

Spatially Encoded Protocell Network for Non‐Cascaded Parallel Biocomputation

open access: yesAdvanced Science, EarlyView.
A non‐cascaded, hydrogel‐based proteinosome computational platform is developed, in which redox‐responsive proteinosomes serve as local computing units within a shared reaction–diffusion field. Reductant inputs, countered by an auxiliary glucose gradient, regulate spatially patterned proteinosome disruption, and generate population‐level boundaries ...
Shuqi Wu, Liangfei Tian
wiley   +1 more source

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

open access: yesAdvanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

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