Results 71 to 80 of about 139,994 (273)

Microengineered Gradient Hydrogels for Mechanobiology

Advanced Healthcare Materials, EarlyView.
Gradient hydrogels are used to mimic the mechanical heterogeneity in native tissues, offering powerful in vitro platforms to study cell‐material interactions in diverse pathophysiological contexts. Here, we present a comprehensive review of the design and experimental considerations for stiffness gradient hydrogels, discussing exemplary achievements ...
Shin Wei Chong, Deepu Ashok, Anna Waterhouse, Marcela M. M. Bilek, Daniele Vigolo   +4 more
wiley   +1 more source

Epidermal Patch Technologies for Integrated Healthcare and Infection Management

Advanced Healthcare Materials, EarlyView.
Epidermal patches have evolved from simple wound coverings into multifunctional, skin‐conformable platforms integrating drug delivery, biosensing, and therapeutic functionalities. This review highlights their material innovations, fabrication strategies, and intelligent designs, including hydrogels, microneedles, and flexible electronics, while ...
Yuqi Wang, Atakan Tevlek, Pawel L. Urban, Boaz Mizrahi, Onome Ejeromedoghene, Roshan Deen, Yuanjing Lin, Jagan Mohan Dodda   +7 more
wiley   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Multi agent physics informed reinforcement learning for waterflooding optimization

Franklin Open
Waterflooding optimization is a critical process for enhancing oil recovery in mature oil fields, where conventional approaches often rely on fixed injection rates over an extended period.
Ramez Abdalla, Nermine Agban, Christian Lüddeke, Dan Sui, Philip Jaeger   +4 more
doaj   +1 more source

Curriculum Learning Framework Based on Reinforcement Learning in Sparse HeterogeneousMulti-agent Environments [PDF]

Jisuanji kexue
The battlefield of modern warfare is large and has a variety of units,and the use of multi-agent reinforcement learning(MARL) in battlefield simulation can enhance the collaborative decision-making ability among combat units and thus improve combat ...
LUO Ruiqing, ZENG Kun, ZHANG Xinjing
doaj   +1 more source

Porosity Engineering of MXene Architectures: Toward High‐Performance Aqueous Electrochemical Energy Storage

Advanced Materials, EarlyView.
This review systematically summarizes recent advances in porosity engineering of MXenes, with a focused discussion on their structure‐governed energy storage properties. A critical analysis of structure–property relationships is presented across alkali‐ion batteries, multivalent‐ion batteries, and supercapacitors.
Shude Liu, Jieming Chen, Xue Peng, Huilin Zhang, Ling Kang, Ming Ma, Zhaoling Li, Yusuke Yamauchi, Bin Ding   +8 more
wiley   +1 more source

Role Learning-based Multi-Agent Reinforcement Learning Methods [PDF]

Jisuanji gongcheng
Multi-Agent Reinforcement Learning (MARL) plays a crucial role in solving complex cooperative tasks. However, traditional methods face significant limitations in dynamic environments and information nonstationarity.
SHEN Sitong, WANG Yaowu, XIE Zaipeng, TANG Bin
doaj   +1 more source

WRFMR: A Multi-Agent Reinforcement Learning Method for Cooperative Tasks

IEEE Access, 2020
Multi-agent reinforcement learning (MARL) for cooperative tasks has been extensively studied in recent years. The balance of exploration and exploitation is crucial to MARL algorithms' performance in terms of the learning speed and the quality of the ...
Hui Liu, Zhen Zhang, Dongqing Wang
doaj   +1 more source

Soft Ionic and Electronic Triboelectric Nanogenerators: Toward Attachable and Implantable Biomedical Applications

Advanced Materials, EarlyView.
This review provides an overview of triboelectric nanogenerator (TENG)–based biomedical applications by classifying studies into electronic and ionic systems across attachable and implantable platforms. It summarizes key material choices, device structures, and working mechanisms that characterize current TENG‐based research, and outlines six future ...
Kyongtae Choi, Jimin Park, Won Jun Song, Soohwan An, Seonggyu Choe, Byeong‐Rak Keum, Min Young Kim, Dae Hee Hwang, Young‐Geun Park, Sung‐Won Kim, Sangyul Baik, Gwang‐Bum Im, Younghoon Lee   +12 more
wiley   +1 more source

Transfer Learning in Multi-Agent Reinforcement Learning Domains [PDF]

, 2012
In the context of reinforcement learning, transfer learning refers to the concept of reusing knowledge acquired in past tasks to speed up the learning procedure in new tasks. Transfer learning methods have been succesfully applied in single-agent reinforcement learning algorithms, but no prior work has focused on applying them in a multi-agent ...
Georgios Boutsioukis, Ioannis Partalas, Ioannis P. Vlahavas   +2 more
openaire   +1 more source