Results 161 to 170 of about 1,880,507 (277)

Using MIS Thermally Stimulated Currents for Degradation Dependent Energetic Landscape Evaluation in Triple Cation Mixed Halide Perovskites

Advanced Energy Materials, EarlyView.
A state‐of‐the‐art triple cation mixed halide perovskite is characterized using thermally stimulated currents in a MIS device architecture. This enables the separate detection of densities of electron and hole states and their activation energies on the same device, unveiling defect state evolution under the degrading influence of ambient conditions ...
L. Leander Schaberg, Young Un Jin, Witchaya Arpavate, Yueming Wang, Roland Schmechel, Thomas Kirchartz, Doru C. Lupascu, Niels Benson   +7 more
wiley   +1 more source

Epoxy reinforced with mesoporous hydrotalcite for high-voltage insulation application. [PDF]

RSC Adv
Ezzat M, Said A, Said MA, Abd El-Lateef HM, Abd-Allah MA, El-Gamal SMA, Ramadan M.   +6 more
europepmc   +1 more source

Study on the Nutritional, Functional, Textural, and Cooking Properties for Multi‐Millet Extruded Instant Noodles

AgriFood: Journal of Agricultural Products for Food, EarlyView.
The study of developing multi‐millet extruded instant noodle with using hot extrusion technology focuses on the optimization of formulations by substituting composite millet flour (finger millet, barnyard millet, and pearl millet) to the rice flour. ABSTRACT Rising consumption of instant foods has necessitated the development of nutritionally balanced ...
Rahul Dev, Shambhvi, Payal Chauhan, Mahesh Gupta   +3 more
wiley   +1 more source

Current Perspectives on Management Approaches for Molar Incisor Hypomineralization: Preliminary findings from the National Dental Practice-Based Research Network. [PDF]

J Clin Pediatr Dent
Ahmed AT, Ahmed AT, Allareddy V, Avenetti D, Cunha-Cruz J, Gilbert GH.   +5 more
europepmc   +1 more source

Electric field changes generated by preliminary breakdown pulse for positive lightning ground flashes in Sweden

This is the new study of the electric field changes generated by the preliminary breakdown for positive cloud-to-ground flashes which concerning on the association of slow field changes in preliminary breakdown process.
Cooray, Vernon,, Hettiarachchi, Pasan,, Ahmad, Noor Azlinda,, Baharudin, Zikri Abadi,, Rahman, Mahbubur,   +4 more
core  

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

From screen to scalpel: safety, efficiency and diagnostic performance of a direct-to-surgery teledermatology pathway. [PDF]

BMJ Open Qual
Nour S, Sullivan-McHale J, Tzatzidou A, Yap YT, Nguyen LTT, Ramamurthy V, Paul M, Bisarya K.   +7 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Harnessing in-situ tribo-plasma emission for energy harvesting. [PDF]

Sci Adv
Zeng Q, Tan L, Xu F, Wang T, Chen A, Wang X.   +5 more
europepmc   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source