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| 1 | Learning two-phase microstructure evolution using neural operators and autoencoder architectures显示文摘Phase-field modeling is an effective but computationally expensive method for capturing the mesoscale morphological and microstructure evolution in materials.Hence,fast and generalizable surrogate models are needed to alleviate the cost of computationally taxing processes such as in optimization and design of materials.The intrinsic discontinuous nature of the physical phenomena incurred by the presence of sharp phase boundaries makes the training of the surrogate model cumbersome.We develop a framework that integrates a convolutional autoencoder architecture with a deep neural operator(DeepONet)to learn the dynamic evolution of a two-phase mixture and accelerate time-to-solution in predicting the microstructure evolution.We utilize the convolutional autoencoder to provide a compact representation of the microstructure data in a low-dimensional latent space.After DeepONet is trained in the latent space,it can be used to replace the high-fidelity phase-field numerical solver in interpolation tasks or to accelerate the numerical solver in extrapolation tasks. | Vivek Oommen Khemraj Shukla Somdatta Goswami Rémi Dingreville George Em Karniadakis | 2022 | npj Computational Materials2022，，1： | 2 |
| 2 | Analysis of protein folds using protein contact networks显示文摘 | Barah Pankaj Sinha Somdatta | 2008 | Pramana-Journal of Physics2008，71，2： | 1 |
| 3 | Microwave initiated reactions: Pechmann coumarin synthesis, Biginelli reaction, and acylation显示文摘 | Maghar S. Manhas Subhendu N. Ganguly Somdatta Mukherjee Amit K. Jain Ajay K. Bose | 2006 | Tetrahedron Letters2006，，14： | 1 |
| 4 | Treatment on Nature’s lap:Use of herbal products in the management of hyperglycemia显示文摘Diabetes mellitus(DM)is characterized by persistently elevated blood glucose concentration that lead to multisystem complications.There are about 400 medicinal plants cited to have a beneficial effect on DM.We must choose products wisely based on data derived from scientific studies.However,a major obstacle in the amalgamation of herbal medicine in modern medical practices is the lack of clinical data on its safety,efficacy and drug interaction.Trials of these herbal products often underreport the side effects and other crucial intervention steps deviating from the standards set by Consolidated Standards of Reporting Trials.Due to a lack of knowledge of the active compounds present in most herbal medicines,product standardization is difficult.Cost-effectiveness is another issue that needs to be kept in mind.In this mini-review,we focus on the antihyperglycemic effect of herbal products that are commonly used,along with the concerns stated above. | Somdatta Giri Jayaprakash Sahoo Ayan Roy Sadishkumar Kamalanathan Dukhabandhu Naik | 2023 | World Journal of Diabetes2023，14，4： | 0 |
| 5 | Advancements in medical treatment for pancreatic neuroendocrine tumors:A beacon of hope显示文摘This editorial highlights the remarkable advancements in medical treatment strategies for pancreatic neuroendocrine tumors(pan-NETs),emphasizing tailored approaches for specific subtypes.Cytoreductive surgery and somatostatin analogs(SSAs)play pivotal roles in managing tumors,while palliative options such as molecular targeted therapy,peptide receptor radionuclide therapy,and chemotherapy are reserved for SSA-refractory patients.Gastrinomas,insul-inomas,glucagonomas,carcinoid tumors and VIPomas necessitate distinct thera-peutic strategies.Understanding the genetic basis of pan-NETs and exploring immunotherapies could lead to promising avenues for future research.This review underscores the evolving landscape of pan-NET treatment,offering renewed hope and improved outcomes for patients facing this complex disease. | Somdatta Giri Jayaprakash Sahoo | 2024 | World Journal of Gastroenterology2024，30，12： | 0 |
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