Results 121 to 130 of about 10,349,847 (236)

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Vocabulary Learning Strategies, Reading Habits and Vocabulary Size Test

, 2013
This paper discusses two important parts of language learning, the vocabulary acquisition and the reading skill, where the focus is on vocabulary learning strategies. One part also discusses the vocabulary size tests, the purpose and use of measuring that specific knowledge, what types of tests help observe vocabulary development, their purpose in ...
openaire   +1 more source

Examining the Validity and Reliability of the ITT Vocabulary Size Tests

, 2021
The Institute for Test Research and Test Development (ITT) has provided complimentary Vocabulary Size Tests (VST) in 15 languages to language learners and their teachers, measuring their own or their learners’ receptive and productive vocabulary sizes.
openaire   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

From Word2Vec to Transformers: Text‐Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts

Advanced Intelligent Discovery, EarlyView.
With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley   +1 more source

Textbook vocabulary and cultural competence: a case study in efl in the republic of Macedonia [PDF]

, 2000
The issues of cultural content of textbooks for learning English as a foreign language and the sociocultral content of vocabulary in these same textbooks are the main focus of this thesis.
Georgievska, Emilija
core  

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

Advanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

Examining the Relationship between Receptive Vocabulary Size and Written Skills of Primary School Learners

, 2009
Receptive vocabulary size is an important component of lexical competence and has been observed to be instrumental for both reading and writing. The central purpose of this paper is two-fold: first, to assess the receptive vocabulary of 274 primary ...
Agustín Llach, María del Pilar, Terrazas Gallego, Melania, Terrazas Gallego, Melania [0000-0001-6760-4368], Agustín Llach, María del Pilar [0000-0003-2655-8865]   +3 more
core   +1 more source