Results 111 to 120 of about 10,682 (175)

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Guidance on the characterisation of microorganisms in support of the risk assessment of products used in the food chain. [PDF]

EFSA J
EFSA Scientific Committee, Bennekou SH, Allende A, Bearth A, Casacuberta J, Castle L, Coja T, Crépet A, Halldorsson TI, Hoogenboom R, Jokelainen P, Knutsen HK, Lambré C, Nielsen SS, Turck D, Civera AV, Villa RE, Zorn H, Gómez MA, Brétagne S, Christensen H, Cocconcelli PS, Herman L, Prieto-Maradona M, Mayo B, Peláez C, Saarela M, Serrano JS, Vernis L, Yurkov A, Aguilera J, Anguita M, Cionci NB, Brozzi R, Correia S, García-Cazorla Y, Istace F, Pettenati E, Revez J, Schoonjans R, Valeri P, Glandorf B.   +41 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Simulated Body Fluids for Dental Implant Corrosion: A Practical Guide. [PDF]

Dent J (Basel)
Bordbar-Khiabani A.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Trauma-informed conversational agents for mental health: understanding user perspectives and experiences. [PDF]

Front Digit Health
Lu X, Guha S, Pfafman R, Pater JA, Washington CL, Nova FF.   +5 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Engineering immune niches: biochemical, mechanical, and spatial design principles for translational hydrogels. [PDF]

Med X
Hincapie R, Marrone Mantovani O, McFaline-Figueroa J, Correa S.   +3 more
europepmc   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Evolvable AI: Threats of a new major transition in evolution. [PDF]

Proc Natl Acad Sci U S A
Müller V, Steels L, Szathmáry E.
europepmc   +1 more source