Results 81 to 90 of about 31,930 (259)
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Chinese Named Entity Recognition Based on Label Information Fusion and Multi-task Learning [PDF]
Jisuanji kexueWith the development of Chinese named entity recognition research,most models focus on enriching feature representation by integrating vocabulary or glyph information but ignore label information.Therefore,a Chinese named entity recognition model ...
LIAO Meng, JIA Zhen, LI Tianrui
doaj +1 more source
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 +9 more
wiley +1 more source
Ina-BWR: Indonesian bigram word rule for multi-label student complaints
Egyptian Informatics Journal, 2019 Handling multi-label student complaints is one of interesting research topics. One of techniques used for handling multi-label student complaints is Bag of Word (BoW) method.
Tora Fahrudin +2 more
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Comparison of pre-trained language models in terms of carbon emissions, time and accuracy in multi-label text classification using AutoML. [PDF]
Heliyon, 2023 Savci P, Das B.
europepmc +1 more source
Advanced Materials, EarlyView.We present SCIENCE, an in‐ear multimodal physiological monitor featuring two key innovations. Water‐triggered morphological expansion (a 2‐mm cylinder to a 9‐mm spindle) achieves conformal adaptation across complex canal geometries. Simultaneously, active biofouling mitigation disrupts cerumen barriers, reducing sensor‐skin impedance by 20%.
Shuyun Zhuo +3 more
wiley +1 more source
Advanced Materials, EarlyView.TESCLA (tubular electromagnetic soft conformal linear actuator) combines liquid‐metal solenoids and compliant magnetic composites to achieve large‐stroke bidirectional actuation with continuous bending. Integrated inductance‐based self‐sensing enables proprioceptive position estimation without external sensors, providing a versatile platform for soft ...
Yeongjin Choi +3 more
wiley +1 more source
Hierarchical Sequence-to-Sequence Model for Multi-Label Text Classification
IEEE Access, 2019 We propose a novel sequence-to-sequence model for multi-label text classification, based on a “parallel encoding, serial decoding” strategy.
Zhenyu Yang, Guojing Liu
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Advanced Materials Interfaces, EarlyView.Why do specific proteins accumulate on “non‐fouling” surfaces? Quantitative proteomics and structural analysis reveal surface‐exposed arginine as the key molecular determinant. ABSTRACT The protein corona determines the biocompatibility of medical devices, yet predicting its composition on anti‐fouling surfaces remains challenging.
Ayano Nomura +5 more
wiley +1 more source
Advanced Manufacturing of Composite‐Based Systems for Energy Applications
Advanced Materials Technologies, EarlyView.Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli +13 more
wiley +1 more source