Results 171 to 180 of about 27,584,206 (303)

Catholic Women's Network, January / February, 1989

open access: yes, 1989
Digitized version of a newspaper published by the Catholic Women's Network (CWN), a non-profit educational organization for women's spirituality and personal growth.
Catholic Women's Network (Sunnyvale, Calif);
core  

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

RV Investigator Voyage IN2025_V06 Hydrology Data

open access: yes
Maintenance and Update Frequency: asNeededStatement: Data source: original field data. [ENTER INFORMATION FROM DAP DATA SUBMISSION FORM, SECTION "DATA ACQUISITION" -> "DATA PROCESSING AND ANALYSES"; EXAMPLE:] Nutrient samples were analysed using ...

core  

Catholic Women's Network, November / December, 1997

open access: yes, 1997
Digitized version of a newspaper published by the Catholic Women's Network (CWN), a non-profit educational organization for women's spirituality and personal growth.
Catholic Women's Network (Sunnyvale, Calif);
core  

Embedding clinically relevant research in UK paediatric training. [PDF]

open access: yesBMJ Paediatr Open
Stewart CE   +4 more
europepmc   +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

Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano‐Electrochemical Coupling

open access: yesAdvanced Materials, EarlyView.
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa   +4 more
wiley   +1 more source

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