Results 91 to 100 of about 468 (182)

Embeddings into left-orderable simple groups. [PDF]

J Lond Math Soc, 2022
Darbinyan A, Steenbock M.
europepmc   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Embedding Researchers into Local Government Public Health Teams: Exploring Co-Design, Implementation and Evaluation Challenges Through Document and Contextual Analysis. [PDF]

Glob Implement Res Appl
Kneale D, Edwards RC, Stansfield C, Lester S, Thomas J.   +4 more
europepmc   +1 more source

Waste Pickers and Their Practices of Insurgency and Environmental Stewardship. [PDF]

J Environ Dev, 2021
Gutberlet J, Sorroche S, Martins Baeder A, Zapata P, Zapata Campos MJ.   +4 more
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Computational approaches to multimodal data integration in rheumatoid arthritis: from data landscape to clinical translation. [PDF]

Brief Bioinform
Xu D, Tang Y, Luo J, Wen C.
europepmc   +1 more source

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

Twist Fields in Many-Body Physics. [PDF]

Entropy (Basel)
Doyon B.
europepmc   +1 more source

RWD-Cockpit: Application for Quality Assessment of Real-world Data. [PDF]

JMIR Form Res, 2022
Babrak LM, Smakaj E, Agac T, Asprion PM, Grimberg F, der Werf DV, van Ginkel EW, Tosoni DD, Clay I, Degen M, Brodbeck D, Natali EN, Schkommodau E, Miho E.   +13 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