Artificial Intelligence‐Driven Inverse Design of Singlet Fission Candidates in the Acene family
In this work, we describe an AI‐driven inverse design platform predicting S1 and T1 energies across acenes with high accuracy. Using Hammett σ constants as descriptors and RNN models coupled with optimization algorithms, it efficiently explores ≈1014 structures, uncovering novel SF candidates from benzene to pentacene. Freely accessible at https://alba.
Rafael G. Uceda +9 more
wiley +1 more source
Enhancing Arabica and Robusta coffee prices forecasting through machine learning approaches. [PDF]
Suela MM, Nascimento M.
europepmc +1 more source
A novel neutrophil‐hitchhiking, rocket‐inspired nanoplatform is developed to cross the blood‐brain barrier for sequential, spatiotemporal drug delivery. By responsive surface transformation in the ischemic penumbra, it precisely targets mitochondria to suppress Drp1‐mediated fission.
He Bai +17 more
wiley +1 more source
Programmable photonic neural engine with all-optical nonlinear activation and 40,000 connections. [PDF]
Sun H, Zhu X, Azaña J.
europepmc +1 more source
Endothelial YAP Signaling Promotes Blood‐Spinal Cord Barrier Repair in Mice After Spinal Cord Injury
Endothelial YAP is required for blood‐spinal cord barrier repair after spinal cord injury. YAP‐dependent vascular repair is associated with ANGPT1/PI3K/AKT signaling in vivo and may involve endothelial‐pericyte paracrine interactions. By supporting vascular remodeling, tight junction restoration, restored pericyte coverage, and astrocyte‐vascular ...
Jiawei Wang +14 more
wiley +1 more source
Comparative Uncertainty Estimation in Neural Network Analysis of Wearable Sensor Signal for Cough and Fall Detection. [PDF]
Hoang ML +4 more
europepmc +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Leveraging neural network models for drug repurposing: a case study on cardiac hypertrophy. [PDF]
Magnusson R +3 more
europepmc +1 more source
CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model
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

