Results 201 to 210 of about 2,225,636 (373)

Pulse, Parse, and Ponder: Using Invisible XML to Dissect a Scientific Domain Specific Language. [PDF]

Balisage Ser Markup Technol
Courtney JM, Gryk MR.
europepmc   +1 more source

Embedded Domain-Specific Languages using Libraries and Dynamic Metaprogramming

, 2011
Gilles Dubochet
openalex   +2 more sources

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

Advanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

Mapping vaccine names in clinical trials to vaccine ontology using cascaded fine-tuned domain-specific language models. [PDF]

J Biomed Semantics
Li J, Li Y, Pan Y, Guo J, Sun Z, Li F, He Y, Tao C.   +7 more
europepmc   +1 more source

Automated quantum algorithm design using a domain-specific language

Amy Rouillard, Matt Lourens, Francesco Petruccione   +2 more
openalex   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

A NineML-based domain-specific language for computational exploration of connectivity in the cerebellar granular layer [PDF]

BMC Neurosci, 2014
Raikov I, Kumar S, Torben-Nielsen B, De Schutter E.   +3 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Domain-Specific Languages (Dagstuhl Seminar 15062)

, 2015
Sebastian Erdweg, Martin Erwig, Richard F. Paige, Eelco Visser   +3 more
openalex   +2 more sources

Laser‐Induced Microfabrication of Carbon Nanostructure: Processing Mechanism and Application for Next‐Generation Battery Technology

Advanced Functional Materials, EarlyView.
The article reviews laser‐processed carbons from various precursors, processing mechanism and their application in advanced batteries. The laser process is chemical free, fast, and scalable, enabling improved battery performance and stability for Li, Na, and Zn battery technologies.
Sujit Deshmukh, Shaista Nouseen, Martin Pumera   +2 more
wiley   +1 more source