Results 241 to 250 of about 1,096,390 (305)

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced 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

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

open access: yesAdvanced 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

Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries

open access: yesAdvanced Materials, EarlyView.
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]

open access: yesNat Commun
Zhang B   +6 more
europepmc   +1 more source

Tailoring Symmetry Breaking in Engineered van der Waals Superlattices

open access: yesAdvanced Materials, EarlyView.
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

DeepGene-BC: Deep Learning-Based Breast Cancer Subtype Prediction via Somatic Point Mutation Profiles. [PDF]

open access: yesCancers (Basel)
Hou P   +13 more
europepmc   +1 more source

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