Switching of both local ferroelectric and magnetic domains in multiferroic Bi0.9La0.1FeO3 thin film by mechanical force

Cross-coupling of ordering parameters in multiferroic materials by multiple external stimuli other than electric field and magnetic field is highly desirable from both practical application and fundamental study points of view. Recently, mechanical force has attracted great attention in switching of ferroic ordering parameters via electro-elastic coupling in ferroelectric materials. In this work, mechanical force induced polarization and magnetization switching were investigated in a polycrystalline multiferroic Bi0.9La0.1FeO3 thin film using a scanning probe microscopy system. The piezoresponse force microscopy and magnetic force microscopy responses suggest that both the ferroelectric domains and the magnetic domains in Bi0.9La0.1FeO3 film could be switched by mechanical force as well as electric field. High strain gradient created by mechanical force is demonstrated as able to induce ferroelastic switching and thus induce both ferroelectric dipole and magnetic spin flipping in our thin film, as a consequence of electro-elastic coupling and magneto-electric coupling. The demonstration of mechanical force control of both the ferroelectric and the magnetic domains at room temperature provides a new freedom for manipulation of multiferroics and could result in devices with novel functionalities

Pathological Evidence Exploration in Deep Retinal Image Diagnosis

Though deep learning has shown successful performance in classifying the label and severity stage of certain disease, most of them give few evidence on how to make prediction. Here, we propose to exploit the interpretability of deep learning application in medical diagnosis. Inspired by Koch's Postulates, a well-known strategy in medical research to identify the property of pathogen, we define a pathological descriptor that can be extracted from the activated neurons of a diabetic retinopathy detector. To visualize the symptom and feature encoded in this descriptor, we propose a GAN based method to synthesize pathological retinal image given the descriptor and a binary vessel segmentation. Besides, with this descriptor, we can arbitrarily manipulate the position and quantity of lesions. As verified by a panel of 5 licensed ophthalmologists, our synthesized images carry the symptoms that are directly related to diabetic retinopathy diagnosis. The panel survey also shows that our generated images is both qualitatively and quantitatively superior to existing methods.Comment: to appear in AAAI (2019). The first two authors contributed equally to the paper. Corresponding Author: Feng L

Synteny analysis in Rosids with a walnut physical map reveals slow genome evolution in long-lived woody perennials.

BackgroundMutations often accompany DNA replication. Since there may be fewer cell cycles per year in the germlines of long-lived than short-lived angiosperms, the genomes of long-lived angiosperms may be diverging more slowly than those of short-lived angiosperms. Here we test this hypothesis.ResultsWe first constructed a genetic map for walnut, a woody perennial. All linkage groups were short, and recombination rates were greatly reduced in the centromeric regions. We then used the genetic map to construct a walnut bacterial artificial chromosome (BAC) clone-based physical map, which contained 15,203 exonic BAC-end sequences, and quantified with it synteny between the walnut genome and genomes of three long-lived woody perennials, Vitis vinifera, Populus trichocarpa, and Malus domestica, and three short-lived herbs, Cucumis sativus, Medicago truncatula, and Fragaria vesca. Each measure of synteny we used showed that the genomes of woody perennials were less diverged from the walnut genome than those of herbs. We also estimated the nucleotide substitution rate at silent codon positions in the walnut lineage. It was one-fifth and one-sixth of published nucleotide substitution rates in the Medicago and Arabidopsis lineages, respectively. We uncovered a whole-genome duplication in the walnut lineage, dated it to the neighborhood of the Cretaceous-Tertiary boundary, and allocated the 16 walnut chromosomes into eight homoeologous pairs. We pointed out that during polyploidy-dysploidy cycles, the dominant tendency is to reduce the chromosome number.ConclusionSlow rates of nucleotide substitution are accompanied by slow rates of synteny erosion during genome divergence in woody perennials

Reaction Mechanisms and Sensitivity for Silicon Nitrocarbamate and Related Systems from Quantum Mechanics Reaction Dynamics

Temperature induced instability is an important issue in developing new molecules and materials, but there is no clear understanding about how molecular structure and crystal packing control sensitivity. This is particularly the case for energetic materials (EM) important in propulsion and detonation. We propose here using the quantum mechanics molecular dynamics (QM-MD) based tempereature programmed reaction dynamics for predicting the relative sensitivity of various materials while simultaneously obtaining the reaction mechanisms underlying to provide guidance in improving materials. We illustrate this for four closely related molecules, pentaerythritol tetranitrate, pentaerythritol tetranitrocarbamate, and their silicon analogs, that have minor intramolecular differences but exhibit different sensitivities experimentally. Our study finds dramatic differences in reaction mechanisms and energy variation under heating that suggest explanations for the different sensitivities. Important here are both the initial decomposition and the secondary reactions between products. The higher sensitivity of the Si analogs originates from the highly exothermic Si–O bond formation as a paramount initial reaction that promotes other reactions, leading to the generations of various intermediates and final products, thus accelerating the decomposition process and energy release. The nitrocarbamates have low sensitivity because their large complex branching impedes the exothermic Si/C–O bond formation and triggers multiple initial endothermic reaction pathways with higher reaction barrier, delaying secondary exothermic reactions and energy release. We find two computational measures that correlate well with sensitivity: the temperatures at which the energy changes from endothermic to exothermic and the total absorbed energy. This study provides mechanistic insight on the molecular and structural determinants controlling the sensitivity of EMs and provides a practical way to predict the relative sensitivity in advance of experimental synthesis and characterization, benefiting the design of novel EMs