Results 51 to 60 of about 946,023 (266)

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

Advanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon, Dong Hwi Kim, Taeyang Jeon, Joo Yeong Na, Heegyu Kim, Hyunsouk Cho, Dae Soo Jung, Ju Li, Jin‐Sung Park, Sung Beom Cho   +9 more
wiley   +1 more source

His eyes narrowed — her eyes downcast: contrastive corpus-stylistic analysis of female and male writing [PDF]

Linguistica Pragensia, 2017
This study presents a comparative and cross-linguistic (English and Czech) examination of female and male characters in contemporary British and Czech fiction texts written by female and male authors.
Anna Čermáková, Lenka Fárová
doaj  

Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K

IEEE Access, 2022
Multimodal machine translation (MMT) is an attractive application of neural machine translation (NMT) that is commonly incorporated with image information. However, the MMT models proposed thus far have only comparable or slightly better performance than
Tosho Hirasawa, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi   +3 more
doaj   +1 more source

Fabrication of Aligned Polycaprolactone Nanofibrillar Bundles to Control Cell‐Mediated Collagen Deposition in Engineered Cartilage

Advanced Materials, EarlyView.
Melt electrofibrillation (MEF) enables the fabrication of nanofibrillar PCL scaffolds with defined architectures that guide cellular alignment and retention during cartilage tissue engineering. Unlike conventional melt electrowriting, MEF consistently directs collagen type II‐rich extracellular matrix organization, providing a tunable platform to ...
Alba Pueyo Moliner, Lennard Spauwen, James L. Martin Robinson, Ángela García Grech, Isabelle Martinier, Sara Grasselli, Aylin Kara Özenler, Matthias Ryma, Jürgen Groll, Mylène de Ruijter, Jos Malda   +10 more
wiley   +1 more source

Entropy-based discrimination between translated Chinese and original Chinese using data mining techniques.

PLoS ONE, 2022
The present research reports on the use of data mining techniques for differentiating between translated and non-translated original Chinese based on monolingual comparable corpora.
Kanglong Liu, Rongguang Ye, Liu Zhongzhu, Rongye Ye   +3 more
doaj   +1 more source

DiLBERT: Cheap Embeddings for Disease Related Medical NLP

IEEE Access, 2021
Electronic Health Records include health-related information, among which there is text mentioning health conditions and diagnoses. Usually, text is also coded using appropriate terminologies and classifications.
Kevin Roitero, Beatrice Portelli, Mihai Horia Popescu, Vincenzo Della Mea   +3 more
doaj   +1 more source

On the use of comparable corpora to improve SMT performance [PDF]

Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics on - EACL '09, 2009
We present a simple and effective method for extracting parallel sentences from comparable corpora. We employ a statistical machine translation (SMT) system built from small amounts of parallel texts to translate the source side of the non-parallel corpus.
Sadaf Abdul-Rauf, Holger Schwenk
openaire   +2 more sources

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

Culinary Chemistry as a Platform for Interfacial Materials Design

Advanced Materials Interfaces, EarlyView.
Culinary processes control interfaces through heating, shear, gelation, and molecular transport. This Review connects selected gastronomic examples with food‐derived nanomaterials, plasmonic sensing, anthocyanin photovoltaics, and intelligent packaging. Original agar‐based plasmonic films illustrate the proposed translation.
Josep Moreno, I. Brian Becerril‐Castro, Irene Calderon‐Gonzalez, Jaslyn Ru Ting Chen, Zhiming Wang, Alexander O. Govorov, José Manuel Romo‐Herrera, Neus Feliu, Wolfgang J. Parak, Miguel A. Correa‐Duarte, In Yee Phang, Xing Yi Ling, Ramón A. Alvarez‐Puebla   +12 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source