Data‐Driven Materials Science for Energy‐Sustainable Applications
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
Impact of problem-based learning on the development of clinical reasoning skills in esophageal cancer teaching. [PDF]
Zhao L, He J, Han Z, Zhang Y, Li L.
europepmc +1 more source
Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
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
Integrating O-AMAS and Problem-Based Learning in Otolaryngology Education: A Self-Controlled Trial of a Novel Active Learning Framework. [PDF]
Wang Q, Liang BY, Zhang L, Wang TB.
europepmc +1 more source
Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi +13 more
wiley +1 more source
Evaluating Interprofessional Education Competencies in Nursing and Pharmacy Students During an Interprofessional Problem-Based Learning Activity: A Quasi-Experimental Study. [PDF]
Almoghirah H +9 more
europepmc +1 more source
Progress on the Failure Mechanisms and Optimization Strategies on Lithium Iron Phosphate
This review centers on LiFeO4 cathodes, outlining their core advantages and performance limitations, then systematically elucidating failure mechanisms, proposing key optimization strategies, and summarizing future research directions that integrate advanced characterization with intelligent design.
Zheng‐Xin Qian +8 more
wiley +1 more source
Application effect of problem-based learning teaching model in respiratory critical medicine. [PDF]
Jiang J, Yu H, Hu C, Zhou H, Cao X.
europepmc +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Team-based vs. problem-based learning in undergraduate surgery: a randomized controlled trial in Saudi Arabia. [PDF]
Shawir M +6 more
europepmc +1 more source

