Results 171 to 180 of about 15,976,227 (307)

Design of Functionally Graded Alloys for Locks Highly Resistant to Ultrasonic Detector Attacks. [PDF]

Materials (Basel)
Matić L, Petošić A, Šunde V, Ban Ž.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Flexural behaviour of RC shear wall using enhanced finite element model. [PDF]

Sci Rep
Nasr O, Moustafa A, Ghallab AH.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Quantitative Analysis of Sex-Specific Feminizer (<i>fem</i>) Transcripts During Honey Bee (<i>Apis mellifera</i>) Development. [PDF]

Int J Mol Sci
Niedbalska-Tarnowska J, Łaszkiewicz A, Moškrič A, Prešern J, Adamczyk-Węglarzy K, Romek N, Cebrat M.   +6 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Miniaturization and Optimization of NMR Shimsets Allow Efficient Field Shimming. [PDF]

Anal Chem
Esmaeilizadshali H, Buyens D, Korvink J, Jouda M.   +3 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

The Effect of Lag Screw Position on Rotational Stability and Stress Concentration in Unstable Basicervical Intertrochanteric Fractures: A Finite Element Analysis. [PDF]

J Clin Med
Lee SW, Kim MS, Lee SJ, Kwak DK, Yoo JH.
europepmc   +1 more source

Structural assessments of 3D printed PLA hooks

opendisegno cad di un gancio semplice, simulazione fem, stampa 3d e prove di trazionecad design of a simple hook, fem simulation, 3d printing and tensile ...
BOJAN, GIULIO
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