Results 101 to 110 of about 259,778 (317)
Oxygen‐tunnel (OT) indium tin oxide (ITO) vertical channel transistors (VCTs) enable reliable, high‐density gain‐cell memory for monolithic 3D integration. A sandwiched SiN/SiO2/SiN OT stack selectively regulates oxygen transport, suppressing parasitic electrode oxidation while stabilizing channel oxygen vacancies, thereby suppressing carrier injection
Hyeonho Gu +17 more
wiley +1 more source
Omnipolar Magnetic Field Detection by Superlattice‐Based Hall Sensor
Magnetic‐field‐induced electronic switching is demonstrated in unit‐cell‐engineered La0.7Sr0.3MnO3–BiFeO3 superlattices. Distinct substrate terminations modify magnetic and transport properties. Hall resistance measurements show omnipolar, hysteretic anomalous Hall switching above the Curie temperature, arising from Fe─Mn interfacial exchange, enabling
Mark Huijben +6 more
wiley +1 more source
A General Pythonic Framework for DFT-in-DFT and WF-in-DFT Embedding
High-level quantum mechanical (QM) simulations provide accurate electronic information of chemical systems but scale unfavourably with system size, making calculations of applied systems challenging. Hierarchical quantum mechanics in quantum mechanics embedding (QM/QM) addresses this issue by localising the highly accurate electronic structure methods ...
Gabriel Bramley +4 more
openaire +1 more source
X‐Functionality–Driven Photocatalytic Hydrogen Evolution in 2D 4‐X‐PEA2SnI4 Perovskites
We report a water‐based synthesis of 2D 4‐X‐PEA2SnI4 perovskite microcrystals with prominent photocatalytic (PC) activity for H2 production. The synergy between organic functionalization and HI‐derived iodide scavenges holes suppress octahedral distortion, and favor electron accumulation, enabling a PC H2 evolution ∼20 µmol·g−1 and long‐term stability ...
Taeyeon Kim +21 more
wiley +1 more source
Extracting Knowledge from DFT: Experimental Band Gap Predictions Through Ensemble Learning [PDF]
The field of materials science has seen an explosion in the amount of accessible high quality data. With this sudden surge of data, the application of machine learning (ML) onto materials data has led to great results.
Steven Kauwe (5879180) +5 more
core +1 more source
In the work reported herein, dipole‐engineered sulfonated carbon nanofibers enable conductive additives to actively regulate interphase formation in silicon anodes. Polar sulfonyl groups guide electrolyte decomposition to form a compact LiF‐rich interphase while promoting robust integration with silicon.
Song Kyu Kang +6 more
wiley +1 more source
Demonstrating Vibrational Current Generation With a Self‐Assembled Bioelectret
Vacuum‐deposited films of the plant‐derived molecule, Baicalein, form a self‐assembled bioelectret exhibiting spontaneous orientation polarization and a giant surface potential. The films induce alternating current during the vibration of a movable electrode without charging treatments. Hydrocarbon protection enhances the air stability of the Baicalein
Kouki Akaike +7 more
wiley +1 more source
Benchmarking Charge-Transfer Excited States in TADF Emitters: ∆DFT outperforms TD-DFT for Emission Energies [PDF]
Charge-transfer excited states are crucial to modern electronics, particularly organic light-emitting diodes (OLEDs) based on thermally-activated delayed fluorescence (TADF).
Lukas, Kunze +4 more
core +1 more source
High quality testing of grid style power gating [PDF]
This paper shows that existing delay-based testing techniques for power gating exhibit fault coverage loss due to unconsidered delays introduced by the structure of the virtual voltage power-distribution-network (VPDN).
Yang, Sheng +4 more
core +1 more source
The optoelectronic and charge transfer properties of dyes containing N,N-diphenylthiophen-2-amine (NBBT) or N-phenyl-N-(thiophen-2-yl)-1H-pyrrol-2-amine (NTPA) as donor were computationally studied using density functional theory (DFT) and time dependent-
Kehinde Gabriel Obiyenwa +5 more
doaj +1 more source

