Results 201 to 210 of about 42,686,202 (279)

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

Assessing BERT-based models for Arabic and low-resource languages in crime text classification. [PDF]

PeerJ Comput Sci
Al-Harbi NK, Alghieth M.
europepmc   +1 more source

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

Wavelet analysis text classification algorithm based on typical features of data samples. [PDF]

PLoS One
Gao M, Li M, Ling Z, Zhong J, Ding H, Wu Q.   +5 more
europepmc   +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, 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

Enhancing Document Classification Through Multimodal Image-Text Classification: Insights from Fine-Tuned CLIP and Multimodal Deep Fusion. [PDF]

Sensors (Basel)
Aljuhani H, Dahab MY, Alsenani Y.
europepmc   +1 more source

Wearable Morphology‐Adaptive in‐Ear Device With Active Cleansing Capability for Multimodal Health Monitoring

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, Zihuan Wu, Anan Zhang, Shideh Kabiri Ameri   +3 more
wiley   +1 more source

Cognitive difference text classification in online knowledge collaboration based on SA-BiLSTM hybrid model. [PDF]

Sci Rep
Liu F, Zhao N, Zhu G.
europepmc   +1 more source

TESCLA: A Fully Soft Electromagnetic Linear Actuator With Continuous Bending Enabled by Liquid‐Metal Solenoids

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, Jeongnam Kim, Seongjun Koh, Yong‐Lae Park   +3 more
wiley   +1 more source

Deep active learning for multi label text classification. [PDF]

Sci Rep
Wang Q, Zhang H, Zhang W, Dai L, Liang Y, Shi H.   +5 more
europepmc   +1 more source