Results 81 to 90 of about 856,468 (203)

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

Flex. Desarrollo de un analizador léxico usando Flex

, 2011
Descripción del proceso de construcción de un analizador léxico en Flex. Tras describir el formato del fichero de entrada a Flex, se presentan los principales operadores que permiten la construcción de expresiones regulares Flex.
Vivancos, Emilio
core  

Flex

, 2023
Flex is a hygromorphic textile, actuated with hard-twisted linen yarn, which flexes when wet and relaxes as it dries.
Walters, Kathryn,
core  

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

How “Green” is Your Functional Material? Assessing Environmental Impacts of Multi‐Step Synthetic Protocols in Material Sciences at Various Technology Levels

Advanced Materials, EarlyView.
Environmental Synthesis Radar (ESR) evaluates the environmental impact of (early‐stage) multi‐step chemical syntheses, providing a holistic view by using 18 midpoint impact categories. Unlike conventional life‐cycle assessment (LCA) approaches, ESR reveals three complementary metrics: overall impact Vtotal, environmental hotspots VEF, and critical ...
Laura Plein, Alexander Schommer, Florian Dietrich, Moritz Gutsch, Heike Klesper, Kevin Schuller, Lars Jahnke, Jens Leker, Klaus Meerholz   +8 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Mass appraisal of flex warehouses

, 1998
Flex warehouses should be analyzed separately from the universe of warehouse properties.
Blow, Charles D., Bokoske, C. Kevin
core   +1 more source

Region‐Specific Profiling of the Gut Microbiome and Metabolite Landscape in Response to Dietary Intervention Using Electronics‐Free Ingestible Smart Sampling Capsules

Advanced Materials Technologies, EarlyView.
Region‐specific profiling of the gut microbiome is achieved non‐invasively using electronics‐free ingestible sampling capsules that activate at defined intestinal sites through stimuli‐responsive coatings. Deployed in a porcine dietary intervention model, the capsules resolve spatially distinct, fiber‐driven shifts in microbial composition and short ...
Devendra Sarnaik, Caitlyn Sullivan, Akshay Krishnakumar, Fangxin Chen, Anna Clapp Organski, Wayne W. Campbell, Jay S. Johnson, Tzu‐Wen L. Cross, Rahim Rahimi   +8 more
wiley   +1 more source

GMPLS control plane extensions in support of flex-grid enabled elastic optical networks [PDF]

, 2013
We develop a GMPLS control plane handling flex-grid enabled Elastic Optical Networks. The implementation is realized in OPNET Modeler event driven simulation tool with focus on developing and implementing extensions for the GMPLS protocol suite.
Turus, Ioan, Dittmann, Lars, Fagertun, Anna Manolova   +2 more
core  

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source