Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Deep learning enabled prediction of nuclear lamina-associated chromatin. [PDF]
Das P, Lee JT.
europepmc +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Caracterización genómica de los mecanismos de adaptación de Pseudomonas aeruginosa en pacientes con bronquiectasias. [PDF]
Santa AM +4 more
europepmc +1 more source
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
LBR and LAP2 mediate heterochromatin tethering to the nuclear periphery to preserve genome homeostasis. [PDF]
Lewis R +12 more
europepmc +1 more source
Generating Unconventional Spin‐Orbit Torques With Patterned Phase Gradients in Tungsten Thin Films
ABSTRACT A key aim in spintronics is to achieve current‐induced magnetization switching via spin‐orbit torques without external magnetic fields. For this, the focus of recent work has been on introducing controlled lateral gradients across ferromagnet/heavy‐metal devices, giving variations in thickness, composition, or interface quality.
Lauren J. Riddiford +9 more
wiley +1 more source
Architecture and regulation of nanoscale chromatin domains. [PDF]
Vinayak V, Lakadamyali M, Shenoy VB.
europepmc +1 more source
Trions as Fundamental Species in Chemically Doped Polymer Semiconductors
This work shows that exciton–charge carrier coupling in doped polymer semiconductors gives rise to multi‐particle states, including trions—quasiparticles consisting of two holes and one electron under p‐doping—and bound exciton‐hole pairs, as identified through spectroscopic and theoretical analysis.
Hongmo Li +23 more
wiley +1 more source
RNARL: reinforcement learning-driven unified generative framework for multi-objective RNA codon design. [PDF]
Lin S +6 more
europepmc +1 more source

