Machine Learning Discovery of Record‐Low Lattice Thermal Conductivity in Double Perovskites
A deep learning interatomic potential is introduced to predict forces for computing phonon properties and thermal transport behavior in double perovskites. Screening 9,709 compounds identifies 1,597 stable materials, and Boltzmann transport calculations including both three and four‐phonon scattering suggests a record‐low lattice thermal conductivity ...
Md Zaibul Anam +3 more
wiley +1 more source
SolanoConnex: developing a web-app for accessing local, up-to-date mental health services in a diverse county. [PDF]
Brody C, Star A, Kelly V, Hoskins T.
europepmc +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
Exploring the protein universe with distant similarity detection methods. [PDF]
Sahakyan H +3 more
europepmc +1 more source
This study reveals the genetic and molecular mechanisms controlling grain size homeostasis through fine‐tuning OsGRX8 self‐expression by two natural negative feedback loops functioning in redox‐dependent or ‐independent manners and identifies two self‐regulatory haplotypes (SRHs) for the subspecies differentiation in rice.
Xingxing Li +13 more
wiley +1 more source
Probabilistic MIC modelling for AMR risk assessment. [PDF]
Baños AP +6 more
europepmc +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
Epilepsy clinic analytics: leveraging EMR reporting tools to characterize center volume and complexity. [PDF]
Arya V +6 more
europepmc +1 more source
Genetic Diagnosis and Discovery Enabled by Large Language Models
We demonstrate that large language models (LLMs) can facilitate genetic diagnosis and discovery. LLMs were used to solve four types of genetic problems of sequentially increased complexity. An LLM‐based pipeline could analyze genetic variants in the genomic sequences of human hearing loss or rare genetic disease patients and assist in identifying ...
Tao Tu +25 more
wiley +1 more source
Leveraging Large Language Models to Improve the Readability of German Online Medical Texts: Evaluation Study. [PDF]
Miftaroski A +3 more
europepmc +1 more source

