Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
White Supremacy, Anti-Black Racism, and Mathematics Education: Local and Global Perspectives [PDF]
Luz Valoyes-Chávez +3 more
openalex +1 more source
Theorizing White Ignorance From Du Bois to Mills: Narrative and Consumptive Innocence. [PDF]
Montalva Barba M, Petersen C.
europepmc +1 more source
Band Alignment in In‐Oxo Metal Porphyrin SURMOF Heterojunctions
Porphyrin core metalation in indium‑oxo SURMOFs enables systematic tuning of band edge positions without altering the crystal structure. First‑principles calculations reveal type‑I and type‑II heterostructures as well as multi‑junction energy cascades, establishing a modular strategy for exciton funneling and charge separation in optoelectronic ...
Puja Singhvi, Nina Vankova, Thomas Heine
wiley +1 more source
Who’s afraid of critical race theory in education? A reply to Mike Cole’s ‘The Color-Line and the Class Struggle’ [PDF]
Gillborn, David
core +2 more sources
Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Feminist Geography – (Neo)Liberalism – White Supremacy
Lawrence Berg
doaj
White supremacy on the whiteboard: teachers’ responses to the Christchurch mosque attacks
Genaro Oliveira, Abdelhamid Helmy Safa
openalex +2 more sources
Time, trust, and relationships: Creating a culture of community engagement to advance translational research through resource allocation, modeling, and recognition. [PDF]
Sprague Martinez LS +7 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source

