Results 91 to 100 of about 8,860,193 (293)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

From Fiber Bundles to Architected Membranes: Triply Periodic Minimal Surface Architectures for Biohybrid Artificial Lungs

Advanced Materials, EarlyView.
Additively manufactured triply periodic minimal surface (TPMS) membranes offer an architecture‐driven alternative to hollow fiber bundles in artificial lungs. Multiphysics simulations and endothelialized prototypes show that the 3D‐printable membrane architecture improves gas exchange, blood flow distribution, and hemocompatibility, enabling ...
Michael Pflaum, Kai P. Barbian, Florian Neuhaus, Gerrit Sitarz, Carolin Nölke, Sebastian V. Jansen, John Linkhorst, Lukas T. Hirschwald, Sebastian Brosch, Christian Certa, Ulrich Steinseifer, Matthias Wessling, Jutta Arens, Arjang Ruhparwar, Bettina Wiegmann   +14 more
wiley   +1 more source

Context Free Grammar (CFG) Analysis for simple Kannada sentences [PDF]

, 2020
When Computational Linguistic is concerns Kannada is lagging far behind compared to Telugu and Tamil. Writing the grammar production for any south Indian language is bit difficult.
P, Dr. Ramakanth Kumar, G, Dr. Shobha, Sagar, B M   +2 more
core   +1 more source

Controlled Synthesis of Tri‐ and Multi‐Doped Graphene

Advanced Materials Interfaces, EarlyView.
This review systematically evaluates synthesis routes for tri‐ and multi‐doped graphene, from hydrothermal and pyrolysis methods to flash Joule heating, critically assessing how each governs dopant incorporation, bonding configuration, and resulting electronic properties.
Maria Hasan, Alicja Bachmatiuk, Gražyna Simha Martynková, Karla Čech Barabaszová, Mark Hermann Rümmeli   +4 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Charting Endocrine Progenitors Across Species and Organs

Advanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing, Michael Sterr, Özüm Sehnaz Caliskan, Lama Saber, Nicole Katarina Rogers, Samuel Ogden, Kei Kozawa, Christos Karampelias, Jessica Jaki, Aimée Bastidas‐Ponce, Falk Janos Farkas, Oliver Czarnecki, Osvaldo Rodrigues Pereira, Perla Cota, Valerie Vandenbempt, Diego Balboa, Anika Böttcher, Natalie Krahmer, Mohammad Lotfollahi, Julie B. Sneddon, Heiko Lickert, Mostafa Bakhti   +21 more
wiley   +1 more source

Complexity metatheorems for context-free grammar problems [PDF]

, 1976
Metatheorems are presented which can be used to (i) establish undecidability results about context-free grammar problems, and (ii) establish lower bounds on certain decidable grammar problems.
Harry B. Hunt, Thomas G. Szymanski, Szymanski, Thomas G., Hunt, Harry B.   +3 more
core   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Bayesian Inference for PCFGs via Markov Chain Monte Carlo [PDF]

, 2007
This paper presents two Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference of probabilistic context free grammars (PCFGs) from terminal strings, providing an alternative to maximum-likelihood estimation using Inside-Outside algorithm.
Johnson, Mark, Griffiths, Thomas, Goldwater, Sharon; id_orcid   +2 more
core  

Statistical properties of probabilistic context-sensitive grammars

Physical Review Research
Probabilistic context-free grammars (PCFGs), which are commonly used to generate trees randomly, have been well analyzed theoretically, leading to applications in various domains.
Kai Nakaishi, Koji Hukushima
doaj   +1 more source