Results 231 to 240 of about 22,063 (297)

From Linear Geometry to Nonlinear and Information-Geometric Settings in Test Theory: Bregman Projections as a Unifying Framework. [PDF]

Educ Psychol Meas
Zumbo BD.
europepmc   +1 more source

High‐Performance Elastomeric Lithium Metal Anodes Enabled by a Lithiophilic Monolayer‐Assembled Nano‐Crumpled Micro‐Concave Architecture

Advanced Energy Materials, EarlyView.
We report an elastomeric lithium metal anode integrating hierarchical nano–micro architectures with uniformly assembled lithiophilic amine functionalities. This design enables synergistic stress and interfacial regulation, effectively suppresses dendritic growth, and ensures stable cycling, highlighting elastomeric anodes as a promising platform for ...
Sungha Choi, Donghyeon Nam, Geon Choi, Seonho Lee, Seungeun Paik, Yongkwon Song, Seungyeop Choi, Jaejin Lim, Woojae Chang, Jeong Gon Son, Daegun Kim, Giwon Lee, Sungjun Park, Yong Min Lee, Seoin Back, Yongmin Ko, Jinhan Cho   +16 more
wiley   +1 more source

2D-to-3D Image Reconstruction in Agriculture: A Review of Methods, Challenges, and AI-Driven Opportunities. [PDF]

Sensors (Basel)
Sankaramaddi HR, Lee WS, Kim K, Hong Y.
europepmc   +1 more source

Modeling the separation of water‐in‐oil emulsions in continuously fed gravity settlers using millifluidic experiments

AIChE Journal, EarlyView.
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin, José Esteban Andino‐Enriquez, Thomas Gouëzec, Maurice Bourrel, Enric Santanach‐Carreras, Nicolas Passade‐Boupat, Laurence Talini, François Lequeux, Pascal Panizza   +8 more
wiley   +1 more source

Resonant Acoustic Spectroscopy for Measuring Complex Modulus of Bitumen. [PDF]

Sensors (Basel)
Kollmus FA, Sassaki Vieira da Silva L, Wistuba MP.   +2 more
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

Hollow Auxetic Polymer Structures with Manufacturing-Constrained Design and Mechanical Validation. [PDF]

Polymers (Basel)
Bridge F, Albarakati R, Hassanin H, Essa K.   +3 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

A Discrete Informational Framework for Classical Gravity: Ledger Foundations and Galaxy Rotation Curve Constraints. [PDF]

Entropy (Basel)
Simons M, Allahyarov E, Washburn J.
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