Results 181 to 190 of about 16,296 (294)

Highlighting a science strategy for human exploration of Mars. [PDF]

Proc Natl Acad Sci U S A
Elkins-Tanton L, Newman D, Sheffer A, Krafton K.   +3 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Consensus Report of Group 1 of the 1st Global Consensus for Clinical Guidelines for the Rehabilitation of the Edentulous Maxilla: Number of Implants, Timing of Implant Placement and Loading. [PDF]

Clin Oral Implants Res
Donos N, Ng E, Pannuti CM, Romito GA, Francisco HCO, Abou-Ayash S, Avila-Ortiz G, Carames JMM, Casentini P, Chackartchi T, Chappuis V, Chen S, Fugazzotto P, Giannobile WV, Hagiwara Y, Hamilton A, Ivanovski S, Kahn S, Kan J, Lambert F, Levine RA, Navarro JM, Ornekol T, Payer M, Schoenbaum T, Singh MK, Thacker S, Alcoforado G.   +27 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

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Consensus Report of Group 4 of the 1st Global Consensus for Clinical Guidelines for the Rehabilitation of the Edentulous Maxilla: Conventional Dentures, Implant Overdentures and Implant-Supported Fixed Dental Prostheses. [PDF]

Clin Oral Implants Res
Stilwell C, Jung RE, Beuer F, Brunello G, Cha JK, Ling JCK, Curtis DA, El-Kholy K, Goodacre B, Heitz-Mayfield L, Kheur M, Kim S, Kondo H, Kumar P, Lanis A, Norre D, Pjetursson B, Bhasmey SR, Sailer I, Si M, Sones A, Strauss FJ, Wolfart S, Zitzmann NU.   +23 more
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

Characterization of cases and analysis of First-instance Judgments in Ethical Proceedings at the Regional Council of Veterinary Medicine of the State of São Paulo. [PDF]

Braz J Vet Med
Ruiz RT, Bosch RV, Stringari S, Ruiz JLM, Maiorka PC.   +4 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

ABRF 2026 Meeting Report. [PDF]

J Biomol Tech
Rappoport JZ, Adams M.
europepmc   +1 more source