Results 101 to 110 of about 7,348,340 (295)

Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials

Advanced Functional Materials, EarlyView.
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni, Nastaran Bahrami Novin, Luigi Benvenuto, Enrico Lertora, Flavia Libonati   +4 more
wiley   +1 more source

An Integrated Oxygen‐Supplying Device and Predictive Multiphysics Model for Extended Ambient Transport of Insulin‐Producing Cells

Advanced Functional Materials, EarlyView.
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez, Ruth Tarpey, Benjamin Brennan, Bryan D. Boyle, Amir M. Alsharabasy, Abhik Mallick, Gabriella Bellavia, Abhay Pandit, Garry P. Duffy, Ruth E. Levey   +9 more
wiley   +1 more source

Deconstructing domain name law

, 2014
Covers approaches to legal problem-solving in internet law as well as discussing how aspects of infringement in cyberspace can be addressed by using existing legal principles (eg, trade mark law, ACL and passing off, copyright law, etc).
Roy, Alpana (R18105)
core  

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

A Holistic Platform Approach for Developing Robust Pulmonary mRNA Delivery: Integrating Novel Phenolic Acid‐Derived Ionizable Lipids and Device Engineering

Advanced Functional Materials, EarlyView.
An integrated pulmonary mRNA delivery platform combining novel biodegradable syringic acid‐derived ionizable lipids, design‐of‐experiments formulation optimization, and vibrating‐mesh nebulizer engineering enabled stable aerosolization and efficient lung delivery.
Neha Kaushal, Younan Ma, Asad Khanmohammed, Dipen Parande, Hanming Zhang, Saket Dolare, Juliet Chen, Apiwat Wangweerawong, Saswata Karmakar, Hongfeng Deng, Frank Koppenhagen, Shraddha Sharma, Eric Reyes, Sherry He, Lianne Boeglin, Caroline Woo, Azadeh Paksa, Ayed Allawzi, Anusha Dias, Gregory Troiano, Shrirang Karve, Frank DeRosa   +21 more
wiley   +1 more source

Texas Intellectual Property Law Journal

, 2016
Journal containing articles, notes, and other analyses of intellectual property law in the United ...
University of Texas at Austin. School of Law., Dyer, David   +1 more
core  

Application of Punitive Damages in Intellectual Property Law in Complex Network Environment.

J Environ Public Health, 2022
Mu X.
europepmc   +1 more source

Dimensionality‐Driven Interfacial Electronic Coupling in Carbon‐Supported Gd‐CuO Catalysts for Selective CO2 Electroreduction to Ethylene

Advanced Functional Materials, EarlyView.
The 2D carbon‐supported Gd–CuO exhibits strong interfacial electronic coupling, abundant oxygen vacancies, and highly exposed active sites, enabling efficient CO enrichment and C─C coupling toward selective and durable CO2‐to‐C2H4 conversion. ABSTRACT Copper‐based catalysts are promising for electrochemical CO2 reduction toward value‐added chemicals ...
Xueya Zhu, Binghao Shen, Mengshan Chen, Yue Hu, Ruijie Xia, Senwei Ji, Zhi Teng, Donglin Xie, Shunli Li, Xue Zhao, Hermenegildo Garciad, Yingtang Zhou   +11 more
wiley   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Copyright Exceptions and Fair Use Defences for AI Training Done for “Research” and “Learning,” or the Inescapable Licensing Horizon

European Journal of Risk Regulation
The training of Artificial Intelligence (AI) models relies on extensive amounts of “data,” often sourced from content protected by copyright, related and sui generis rights.
Eleonora Rosati
doaj   +1 more source