Results 161 to 170 of about 45,889 (314)

An Accessible Microfluidic Platform for the Generation of Polarized Brain Organoids

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents an accessible double‐gradient microfluidic device that enables controlled morphogen delivery and spatially polarized differentiation in brain organoids. By integrating a pump‐free design and stable fabrication method, the platform generates dorsal–ventral neuronal asymmetry, offering a reproducible and versatile approach to model ...
Daniel Pérez‐Calixto   +6 more
wiley   +1 more source

Executing Verified Compiler Specification

open access: yes, 2008
. Much work has been done in verifying a compiler specification, both in hand-written and mechanical proofs. However, there is still a gap between a correct compiler specification and a correct compiler implementation.
Yasuhiko Minamide, Koji Okuma
core  

Understanding Ionic Flow in Nanofluidic Blind‐Hole Anodic Aluminum Oxide (AAO) Membranes for Osmotic Energy Generation

open access: yesAdvanced Materials Technologies, EarlyView.
Anodic aluminum oxide (AAO) membranes have traditionally served as structural supports in osmotic energy systems. Here, blind‐hole AAO membranes are demonstrated as active ion‐selective platforms with tunable nanopore structures. By balancing membrane resistance, ion selectivity, and flux, enhanced performance is achieved, delivering a maximum power ...
Khanh Nhien Vu   +6 more
wiley   +1 more source

Compiler for EdkDSP Platform

open access: yes, 2012
Goal of this bachelor's thesis was to create a compiler system for EdkDSP platform. Two different approaches to construction of compiler system for multiprocessor platform are presented. Compiler is based on LLVM compiler infrastructure. As a result, two
Baručák, Robert
core  

Tensor language model enables generative scheduling for efficient tensor compilation. [PDF]

open access: yesSci Rep
Mehmood S   +7 more
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

The Evolution of Aerosol Jet Printing, A Review: Enhancing Material Versatility and Improvements for Next‐Generation Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee   +2 more
wiley   +1 more source

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