Results 141 to 150 of about 673,896 (289)

Acoustic Impedance‐Tailored High‐Performance Ultrasound‐Driven Triboelectric Nanogenerators

Advanced Energy Materials, EarlyView.
An acoustic impedance–mismatched triboelectric nanogenerator is presented for efficient ultrasound energy harvesting in implantable medical devices. Concave and convex membrane patterning induces controlled acoustic impedance mismatch, which boosts output by ∼200% and ensures stable operation over 100 million cycles and six weeks in vivo, highlighting ...
Young‐Jun Kim, Youngwook Chung, Joon‐Ha Hwang, Jang‐Mook Jeong, Bosung Kim, Donghyun Kang, Byung‐Ok Choi, Hong‐Joon Yoon, Sang‐Woo Kim   +8 more
wiley   +1 more source

Non-destructive histomorphological identification of Late Pleistocene burned bone fragments using synchrotron radiation X-ray CT at SPring-8. [PDF]

Sci Rep
Sawada J, Yoneda M, Uesugi K, Hoshino M, Watanabe S, Miyamoto N, Uzawa K, Toizumi T, Anbo R, Saeki F, Yanagita Y.   +10 more
europepmc   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Influence of BDNF rs10835210 on right parahippocampal volume and its related cognitive function in first- and multiple-episode bipolar disorder. [PDF]

BMC Psychiatry
Yang R, Chen J, Ke T, Zhang X, Cheng X, Wu Q, Sun J, Deng W, Cheng X, Zou W, Zhang Y, Yang C, Cui L, Ye B, Li X, Cao L.   +15 more
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

Comparison of valuation manners within international accounting

Agricultural Economics (AGRICECON), 2003
M. Kočner, M. Konvalina
doaj   +1 more source

A Sustainable Path for Automotive Composite Tooling: Novel Materials, Design, and Technologies Through FEM and LCA. [PDF]

Polymers (Basel)
Carallo GA, Magnasco L, Chiocca S, Lessio A, Mattia M, Morbarigazzi M, Verdulli A.   +6 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

Adjunctive Electroconvulsive Therapy for First Episode Mania: Data From a Tertiary Care Center in India: Électroconvulsivothérapie d'appoint en cas de premier épisode de trouble maniaque: Données provenant d'un centre de soins tertiaires en inde. [PDF]

Can J Psychiatry
Chithra NK, Jayasankar P, Kanagarajan SS, Kulkarni K, Kumar V, Kesavan M, Yatham LN.   +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