Results 221 to 230 of about 4,372,865 (296)

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

Bioprospecting endophytic fungi, <i>Paecilomyces lecythidis</i> and <i>Aspergillus fumigatus</i>, from <i>Alocasia macrorrhizos</i> as potential sources of bioactive agents. [PDF]

Sci Prog
Khatun MA, Das R, Bhuiyan AA, Sathi MNZ, Mahmud S, Uddin MS, Haque S.   +6 more
europepmc   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Effects of a Food-Shaping Agent on the Texture and Palatability of Hospital-Pureed Meat: A Comparison of Subjective and Instrumental Assessments. [PDF]

Foods
Kuo YT, Chen PR, Yang SC.
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Tara and Red Algae Biopolymer as a Film-Forming Substance for Hair Protection. [PDF]

ACS Omega
Zito RA, Zanin RB, Kakuda L, Maia Campos PMBG.   +3 more
europepmc   +1 more source

Reducing Agents Aid in the Texturization of Pea Protein Isolate During High Moisture Extrusion. [PDF]

J Food Sci
Bernin JB, Watanabe P, Smith B, Kowalski RJ, Ganjyal GM.   +4 more
europepmc   +1 more source

Propolis-carboxymethyl cellulose Janus nanoparticles as multifunctional bioactive additives in stirred yogurt. [PDF]

Sci Rep
Razavi R, Molaei R, Alipashaeihalabi A, Mirani A, Alizadeh N, Abbaszadeh M, Moradi M.   +6 more
europepmc   +1 more source

Computed tomography-based texture analysis for predicting adjuvant therapy response in postoperative patients with <i>EGFR</i>-mutant non-small cell lung cancer. [PDF]

J Thorac Dis
Wang D, Wang M, Song J, Yu Y, Cao T, Chen R, Zhang Z, Song D, Yang F.   +8 more
europepmc   +1 more source

Improvement of Overall Skin Condition in Acne and Oily Prone Skin With an Amino Acid Cleanser Containing Salicylic Acid, Glucuronolactone, and Ceramides. [PDF]

J Cosmet Dermatol
Ai Levin Y, Lyu Y, He X.
europepmc   +1 more source