Results 221 to 230 of about 4,789,872 (297)

Machine learning potential for modelling H₂ adsorption/diffusion in MOFs with open metal sites. [PDF]

Chem Sci
Liu S, Dupuis R, Fan D, Benzaria S, Bonneau M, Bhatt P, Eddaoudi M, Maurin G.   +7 more
europepmc   +1 more source

Auditory Cortex Morphology Predicts Language Learning Potential in Children and Teenagers. [PDF]

Front Neurosci, 2019
Turker S, Reiterer SM, Schneider P, Seither-Preisler A.   +3 more
europepmc   +1 more source

Formation of Stable Amorphous Calcium Phosphate and Collagen Assemblies by a Versatile Spray‐Drying Approach

Advanced Functional Materials, EarlyView.
Amorphous calcium phosphate (ACP) microparticles with long‐term and thermal stability are prepared with or without collagen using a scalable one‐pot spray‐drying process. Under simulated physiological conditions, they crystallize into biomimetic bone mineral and, when combined with collagen, form extrudable, fibrillar bone‐like 3D constructs.
Camila Bussola Tovani, Nessma Bennaceur, Celina Benkhellat, Tristan Georges, Clara Doisneau, Vaskar Sardhalia, Thierry Azaïs, Flora Lemaire, Halima Kerdjoudj, Mohamed Selmane, Capucine Sassoye, Marie Albéric, Cédric Boissière, Nadine Nassif   +13 more
wiley   +1 more source

Individual differences in the learning potential of human beings. [PDF]

NPJ Sci Learn, 2017
Stern E.
europepmc   +1 more source

Computer Assisted Learning: Its Educational Potential (UNCAL) [PDF]

, 1977
Atkin, R, Jenkins, D, Kemmis, S, Macdonald, Barry   +3 more
core  

Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties

Advanced Functional Materials, EarlyView.
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon, Raúl López‐Martín, Verner Håkonsen, Nader Yaacoub, Francisco J. Terán, Alberto López Ortega, Jose A. De Toro, Gurvinder Singh   +7 more
wiley   +1 more source

A Low-Order Permutationally Invariant Polynomial Approach to Learning Potential Energy Surfaces Using the Bond-Order Charge-Density Matrix: Application to C_n Clusters for n = 3-10, 20. [PDF]

J Phys Chem A
Gutierrez-Cardenas J, Gibbas BD, Whitaker K, Kaledin M, Kaledin AL.   +4 more
europepmc   +1 more source

Bio‐Orthogonally Crosslinked Supramolecular Polymer Bottlebrush Hydrogels for Long‐Term 3D Cell Culture

Advanced Functional Materials, EarlyView.
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi, David Pretzel, Peer Nölte, Kourosh Rezaei, Ulrich S. Schubert, Johannes C. Brendel   +5 more
wiley   +1 more source

Social vs. non-social measures of learning potential for predicting community functioning across phase of illness in schizophrenia. [PDF]

Schizophr Res, 2019
Clayson PE, Kern RS, Nuechterlein KH, Knowlton BJ, Bearden CE, Cannon TD, Fiske AP, Ghermezi L, Hayata JN, Hellemann GS, Horan WP, Kee K, Lee J, Subotnik KL, Sugar CA, Ventura J, Yee CM, Green MF.   +17 more
europepmc   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source