Results 201 to 210 of about 939,270 (332)
This study presents a new hole transporting material (HTM) mechanism for self‐assembled monolayers in near‐infrared organic photodetectors. The formation of zwitterions induces a strong electric field that significantly increases the work function of HTM‐coated indium tin oxide substrates. The devices exhibit low dark current and noise, along with high
Jiyoung Shin +9 more
wiley +1 more source
Fundamental and Applied Aspects of Physics in Low-Dimensional Systems. [PDF]
Ciftja O.
europepmc +1 more source
Computational electron–phonon superconductivity: from theoretical physics to material science
Shiya Chen +6 more
openalex +2 more sources
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won +3 more
wiley +1 more source
Infrared Nanocrystals for Space Application: Hardness to Irradiations
This article investigates infrared HgTe nanocrystals under X‐ray and ion irradiation, revealing remarkable radiation hardness. It uncovers distinct degradation mechanisms and shows that the nanomaterial outperforms integrated electronics. The results position colloidal nanocrystals as promising candidates for resilient space and harsh‐environment ...
Alexandre Neyret +22 more
wiley +1 more source
A physics-informed graph neural network to approximate docking-based binding affinity for DYRK2 in Alzheimer's drug repurposing. [PDF]
Gider V, Budak C.
europepmc +1 more source
The catalytic valorization of biomass represents an essential approach for achieving sustainable chemical production, with formic acid (FA) being recognized as a valuable platform chemical for hydrogen storage and environmentally friendly synthetic applications.
Yiqi Geng +6 more
wiley +1 more source
Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction. [PDF]
Schwade M +4 more
europepmc +1 more source
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske +4 more
wiley +1 more source
OrientationNN: a physics-informed lightweight neural network for real-time joint kinematics estimation from IMU data. [PDF]
Bian Q, Wang H, Alsayed K, Ding Z.
europepmc +1 more source

