From Isolation to Collaboration: Data Trading Mechanism in the Era of Large Language Model Democratization. [PDF]
Wang K, Hui H.
europepmc +1 more source
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
'Doing it together?' A dyadic qualitative study of perceptions, facilitators, barriers and expectations for physical activity in dementia. [PDF]
Wang S +7 more
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
Can dyadic rope-skipping enhance cooperative behavior in female university students with depressive symptoms? Evidence from behavioral and fNIRS hyperscanning data. [PDF]
Wang S +7 more
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
Self-heterodyne spectroscopy via a non-uniformly spaced frequency comb. [PDF]
Zhang B +6 more
europepmc +1 more source
Tailoring Symmetry Breaking in Engineered van der Waals Superlattices
We pioneer a scheme to tailor superpotentials in graphene based on intrinsic substrate electronic orders rather than twist angle. The resulting superpotential folds graphene's Dirac cones to either Γ$\Gamma$ or K‐points, leading to distinct symmetry behaviors.
Keda Jin +7 more
wiley +1 more source
High-Frequency Weak Magnetic-Field Detection and Dose Calibration for Micro-Magnetic Stimulation: A Review. [PDF]
Tian L +6 more
europepmc +1 more source
DeepGene-BC: Deep Learning-Based Breast Cancer Subtype Prediction via Somatic Point Mutation Profiles. [PDF]
Hou P +13 more
europepmc +1 more source

