Results 61 to 70 of about 3,717 (263)

In Situ 3D Bioprinting: Impact of Cross‐Linking on the Adhesive Properties of Hydrogels

Advanced Functional Materials, EarlyView.
In situ 3D bioprinting enables the direct deposition of cell‐laden, adhesive biomaterials for on‐site tissue regeneration. This review provides a comprehensive overview of how cross‐linking influences the bioadhesive properties of hydrogels used in 3D bioprinting, highlighting cross‐linking triggers, bioadhesion mechanisms, polymer interpenetration ...
Odile Romero Fernandez, Mulazim Hussain Asim, Shumaila Arshad, Gergely Kali, Andreas Bernkop‐Schnürch   +4 more
wiley   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Parallel 3D Bioprinting on SLIPS‐Microarrays

Advanced Functional Materials, EarlyView.
This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...
Julius von Padberg, Julian A. Serna, Maike Schliephake, Pavel A. Levkin   +3 more
wiley   +1 more source

APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators

IEEE Access, 2020
Designing resource-efficient deep neural networks (DNNs) is a challenging task due to the enormous diversity of applications as well as their time-consuming design, training, optimization, and evaluation cycles, especially the resource-constrained ...
Paniti Achararit, Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Shafique, Yuko Hara-Azumi   +4 more
doaj   +1 more source

2D hardware acceleration [PDF]

, 2018
The objective of the project is to develop an IP-core that provides hardware acceleration for common 2D rendering operations in an embedded system. The requirements for graphical user interfaces (GUI) on modern display and touchscreen based systems are increasing steadily. Rendering complex and attractive GUIs requires a lot of processing power.
Bodenmann, Joel, Corthay, François
openaire  

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

Dispensing Volumetric Additive Manufacturing

Advanced Functional Materials, EarlyView.
Dispensing volumetric additive manufacturing (DVAM) prints 3D structures inside a photocurable resin droplet suspended from the tip of a glass pipette, enabling sequential printing without resin vats or manual part removal. Real‐time droplet profiling and ray‐tracing‐based correction compensate for optical distortion at the curved resin‐air interface ...
Hongryung Jeon, Yunsoo Lee, Seobin Park, Kyung‐Hwan Kim, Junyoung Seo, Im Doo Jung   +5 more
wiley   +1 more source

In(Si)Sim RVE–Lightweight Open-Source Framework for Functional Verification of RISC-V Extensions

IEEE Access
The unprecedented collaboration efforts of universities, corporations and enthusiasts shown in the development of hardware implemented algorithms meant to maximize computing performance while lowering power consumption of RISC-V based Systems-on-Chip is ...
Cosmin-Andrei Popovici, Andrei Stan, George-Emil Vieriu, Vasile-Ion Manta   +3 more
doaj   +1 more source

Enhanced Li‐Ion Battery Performance with Hybrid MXene/GnR Electrodes: Heterojunctions and Engineered Architectures Supported by DFT Mechanistic Studies for Improved Rate Performance, Stability & Capacity

Advanced Functional Materials, EarlyView.
Lithium‐ion batteries (LIBs) remain central to energy storage but suffer from slow ion transport and degradation. Here, we present a binder‐free Ti3C2Tx MXene/GnR hybrid electrode with a porous 3D architecture formed via freeze casting. The structure enhances conductivity, ion transport, and stability, delivering 401 mAh/g, ∼97% efficiency, and 92 ...
Sara Mohseni Taromsari, Meysam Salari, Dipali Nayak, Saeed Habibpour, Ling Wei Hwang, Cristopher Carreiro, Carlos M. Da Silva, Aiping Yu, Chul B. Park, Cristina H. Amon, Hani E. Naguib   +10 more
wiley   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source