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
The isolation of flowering time genes from lettuce to enable the manipulation of bolting time [PDF]
The time of bolting is an important factor in lettuce production because it affects the yield and quality of the harvested crop. Bolting is promoted by higher temperatures and is an increasing problem for growers with the current trend for warmer ...
Abbott, Aaron
core
A genetic and molecular analysis of flowering time in Arabidopsis thaliana using natural variation = Een genetische en moleculaire analyse van bloeitijd in Arabidopsis thaliana gebruikmakend van natuurlijke variatie [PDF]
The natural allelic variation at flowering time loci between two Arabidopsis thaliana accessions; Landsberg erecta (L er ) and the tropical Cape Verde Island (Cvi) has been analyzed.
El-Assal, S.E.D.
core
Functional alleles of the flowering time regulator FRIGIDA in the Brassica oleracea genome [PDF]
Background Plants adopt different reproductive strategies as an adaptation to growth in a range of climates. In Arabidopsis thaliana FRIGIDA (FRI) confers a vernalization requirement and thus winter annual habit by increasing the expression of the MADS ...
Irwin, JA +27 more
core +1 more source
rubysaltbush/flowering-period-climate: Journal submission
Data and analysis code for "Climate shapes flowering periods across plant communities" at journal submission Full Changelog: https://github.com/rubysaltbush/flowering-period-climate/commits/v1.0.
Ruby E Stephens
core +1 more source
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang +5 more
wiley +1 more source
Automatic estimation of heading date of paddy rice using deep learning
Background Accurate estimation of heading date of paddy rice greatly helps the breeders to understand the adaptability of different crop varieties in a given location.
Sai Vikas Desai +4 more
doaj +1 more source
Summer Flowering Cover Crops Support Wild Bees in Vineyards [PDF]
Agricultural expansion and intensification negatively affect pollinator populations and has led to reductions in pollination services across multiple cropping systems.
Albie F Miles +11 more
core +1 more source
A Geometrically Transient Platform for Bioelectronic Implants
Minimally invasive bioelectronic implants often compromise performance for smaller sizes. To resolve this optimization dilemma, a wireless bioelectronic implant with a transient geometry is introduced (MiFi). The origami‐inspired device miniaturizes up to sixfold for syringe insertion and autonomously unfolds post‐implantation.
Selin Olenik +13 more
wiley +1 more source
Decoding Synergistic Pathways in Bimetallic MOFs for Advanced Oxidation Processes
This review presents a unified framework linking metal pairing and framework design with electronic structure, redox cycling, oxidant activation, reactive‐species generation, and catalytic performance across photocatalytic and oxidant‐based BMOF‐AOPs. The resulting design principles guide the development of hydrolytically stable and efficient BMOFs for
Karim El‐Naggar +2 more
wiley +1 more source

