Results 231 to 240 of about 1,586,483 (335)
Information Dense and Industry Scalable Accelerated Formation
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 more
wiley +1 more source
Beyond recommendations: expanding the ethical discourse on AI-assisted academic writing. [PDF]
Nosratzehi M, Nosratzehi S, Keikha M.
europepmc +1 more source
A New Sheriff in Town: Armistice in the War on Drugs and Students\u27 Civil Rights [PDF]
Stuart, Susan P.
core +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Finding Meaning in Psychiatric Recovery: A Literature Review of Approaches to Meaning in Life Within Mental Healthcare. [PDF]
Hallo-van Bekkum ABM +3 more
europepmc +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
Necrotizing Soft Tissue Infections: A Call for Surgical Competence and System-Level Reform. [PDF]
Wallace DL, Rogers AD.
europepmc +1 more source
The Lawyer in Other Fiduciary Roles: Policy and Ethical Considerations [PDF]
Ciccarello, Mary Jane +1 more
core +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source

