Results 191 to 200 of about 69,734 (293)
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
From knowledge as domination to knowledge as governmentality: a theoretical rearticulation of power in late-modern knowledge regimes. [PDF]
Parada-Ulloa M +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
Legitimate interests as a legal basis for the processing of personal data
Maģistra darba temats ir “Leģitīmā interese kā personas datu apstrādes tiesiskais pamats”. Darba mērķis ir analizēt normatīvo ietvaru, kas regulē personas datu apstrādi, balstoties uz pārziņa vai trešās personas leģitīmo interesi, kā arī šī datu ...
Arāja, Raimonda
core
Predatory journals: Preventive measures for this 21<sup>st</sup>-century phenomenon. [PDF]
Sethuraman RM.
europepmc +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
EU protection requirements for ePortfolios in clinical healthcare education. [PDF]
Embo M +5 more
europepmc +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Protecting patient privacy in tabular synthetic health data: a regulatory perspective. [PDF]
Pilgram L, Ko H, Tung A, El Emam K.
europepmc +1 more source

