Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Medical expenditure of women during pregnancy, childbirth and puerperium at the beginning of China's universal two-child policy enactment: a population-based retrospective study. [PDF]
Zang S +5 more
europepmc +1 more source
Synthesis of Bulk Superconducting LiNbO2 Crystals Through CaH2 Reduction
CaH2 reduction reconstructively transforms insulating LiNbO3 single crystals into superconducting bulk LiNbO2 with a critical temperature of Tc = 14.4 K. Scanning electron microscopy reveals large‐volume, high‐yield phase conversion. Magnetization measurements demonstrate a robust ∼ 77% Meissner shielding fraction, establishing bulk superconductivity ...
Ryan Paxson +19 more
wiley +1 more source
Teacher learning, accountability and policy enactment in Ontario: the centrality of trust
This article considers the role of trust in teacher professional learning as a form of policy enactment. Drawing upon an experienced teacher’s understandings of an assessment policy, Growing Success, in Ontario, Canada, we foreground the sociality of ...
Hardy, Ian, Melville, Wayne
core +1 more source
Vitamin C‐Induced Photo‐Redox Threshold Enables High‐Fidelity Volumetric Printing of Collagen
Tomographic volumetric printing (TVP) of native proteins is limited by uncontrolled background crosslinking. Here, vitamin C is introduced as a biocompatible redox regulator to establish a tunable nonlinear polymerization threshold response for TVP.
Bin Wang +5 more
wiley +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
This article presents the findings from an interview study with 12 subject teachers and special educators in three Swedish lower secondary schools. The purpose of the study was to explore how school professionals perceive and respond to dilemmas related ...
Paulsrud, David, +2 more
core +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Who can I be now? [Elektronisk resurs] : The complexity of students in policy enactment
This paper aims to contribute to the field of policy enactment studies with a deepened understanding of the significance of the students when a pedagogical vision is enacted.
Blennow, Katarina +6 more
core +1 more source
An ambiguous aspiration: school actors making sense of educational innovation policy
Educational innovation has received significant attention in contemporary policy debates. Many countries and regions have initiated comprehensive reforms to reshape teaching methods and link innovative practices with improved equity and performance ...
Edgar Quilabert
doaj +1 more source

