RESUMEN
Topological states in photonics offer novel prospects for guiding and manipulating photons and facilitate the development of modern optical components for a variety of applications. Over the past few years, photonic topology physics has evolved and unveiled various unconventional optical properties in these topological materials, such as silicon photonic crystals. However, the design of such topological states still poses a significant challenge. Conventional optimization schemes often fail to capture their complex high dimensional design space. In this manuscript, we develop a deep learning framework to map the design space of topological states in the photonic crystals. This framework overcomes the limitations of existing deep learning implementations. Specifically, it reconciles the dimension mismatch between the input (topological properties) and output (design parameters) vector spaces and the non-uniqueness that arises from one-to-many function mappings. We use a fully connected deep neural network (DNN) architecture for the forward model and a cyclic convolutional neural network (cCNN) for the inverse model. The inverse architecture contains the pre-trained forward model in tandem, thereby reducing the prediction error significantly.
RESUMEN
A series of 2,4,6 trisubstituted pyrimidines and triazines have been synthesized and screened for its in vitro antileishmanial activity profile in promastigote model. Nine compounds have shown > 94% inhibition against promastigotes at a concentration of 10 microg/mL.
Asunto(s)
Compuestos Heterocíclicos/síntesis química , Compuestos Heterocíclicos/farmacología , Leishmania/efectos de los fármacos , Tripanocidas/síntesis química , Animales , Evaluación Preclínica de Medicamentos , Pirimidinas/síntesis química , Pirimidinas/farmacología , Triazinas/síntesis química , Triazinas/farmacologíaRESUMEN
A small library of 20 trisubstituted pyrimidines were synthesized and evaluated for their in vitro antimalarial and antitubercular activities. Out of the total screened compounds, 16 compounds have shown in vitro antimalarial activity against Plasmodium falciparum in the range of 0.25-2microg/mL and 8 compounds have shown antitubercular activity against Mycobacterium tuberculosis H(37)Ra, at a concentration of 12.5microg/mL.