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| 1 | Recent developments in computational modelling of nucleation in phase transformations显示文摘Nucleation is one of the most common physical phenomena in physical,chemical,biological and materials sciences.Owing to the complex multiscale nature of various nucleation events and the difficulties in their direct experimental observation,development of effective computational methods and modeling approaches has become very important and is bringing new light to the study of this challenging subject.Our discussions in this manuscript provide a sampler of some newly developed numerical algorithms that are widely applicable to many nucleation and phase transformation problems.We first describe some recent progress on the design of efficient numerical methods for computing saddle points and minimum energy paths,and then illustrate their applications to the study of nucleation events associated with several different physical systems. | Lei Zhang Weiqing Ren Amit Samanta Qiang Du | 2016 | npj Computational Materials2016，，1： | 8 |
| 2 | Histological difference in ligament flavum between degenerative lumbar canal stenosis and non-stenotic group:A prospective,comparative study显示文摘BACKGROUND Ligament flavum(LF)hypertropy is the main etiopathogenesis of lumbar canal stenosis(LCS).The purely elastic LF undergoes a morphological adaptation including a reduction in the elastic fibers and a consequent increase in the collagen content,fibrosis,cicatrization,and calcification.However,the morphometric analysis can delineate the LF in patients with LCS from those without LCS,which would help in better understanding LCS pathogenesis.AIM To compare the histopathological changes in LF between the degenerative LCS and non-stenotic(non-LCS)group.METHODS The present prospective study was conducted in 82 patients who were divided into two groups,namely LCS and non-LCS.Demographic details of the patients such as duration of symptoms,level of involvement,and number of segments were recorded.The LF obtained from both groups was histopathologically examined for the fibrosis score,elastic fiber degeneration,calcification,and chondroid metaplasia.Morphometrical details included a change in elastin and collagen percentages,elastin/collagen ratio,elastic fiber fragmentation,and ligamentocyte numbers.All parameters were compared between the two groups by using the independent t test,Chi-square test,and Pearson’s correlation test.RESULTS Out of 82 cases,74 were analysed,34 in LCS and 40 in non-LCS group.The mean±SD age of presentation in LCS and non-LCS group was 49.2±8.9 and 43.1±14.3 respectively.The LCS group(n=34)exhibited significant differences in fibrosis(P=0.002),elastic fiber degeneration(P=0.01),%elastic fragmentation(66.5±16.3 vs 29.5±16.9),%elastic,content(26.9±6.7 vs 34.7±8.4),%collagen content(63.6±10.4 vs 54.9±6.4),reduction of elastic/collagen(0.4±0.1 vs 0.6±0.1),and ligamentocyte number(39.1±19.1 vs 53.5±26.9)as compared to non-LCS group(n=40).The calcification(P=0.08)and Pearson’s correlation between duration and loss of elastin was not significant.The difference in LF morphology is consistent in patient’s≥40 years of age among the groups as found in subgroup analysis.Similarly in the patents<40 and>40 in the non-LCS group.CONCLUSION LF is vital in the pathogenesis of LCS.The purely elastic LF undergoes a morphological adaptation that includes a reduction in the elastic fibers with a consequent increase in the collagen content,fibrosis,cicatrization,and calcification.The present study provides a detailed morphometric analysis to semiquantitatively delineate the LF changes in patients with LCS from those in patients without LCS. | Mantu Jain Mukund Sable Amit Purushottam Tirpude Rabi Narayan Sahu Sudeep Kumar Samanta Gurudip Das | 2022 | World Journal of Orthopedics2022，13，9： | 0 |
| 3 | Optimization-Based String Method for Finding Minimum Energy Path显示文摘We present an efficient algorithm for calculating the minimum energy path(MEP)and energy barriers between local minima on a multidimensional potential energy surface(PES).Such paths play a central role in the understanding of transition pathways between metastable states.Our method relies on the original formulation of the string method[Phys.Rev.B,66,052301(2002)],i.e.to evolve a smooth curve along a direction normal to the curve.The algorithm works by performing minimization steps on hyperplanes normal to the curve.Therefore the problem of finding MEP on the PES is remodeled as a set of constrained minimization problems.This provides the flexibility of using minimization algorithms faster than the steepest descent method used in the simplified string method[J.Chem.Phys.,126(16),164103(2007)].At the same time,it provides a more direct analog of the finite temperature string method.The applicability of the algorithm is demonstrated using various examples. | Amit Samanta Weinan E | 2013 | Communications in Computational Physics2013，14，7： | 0 |
| 4 | Evaluation of Current Design Practices on Estimation of Axial Capacity of Concrete Encased Steel Composite Stub Columns: A Review显示文摘 | Amiya Kumar Samanta Amit Paul | 2013 | Journal of Civil Engineering and Architecture2013，7，9： | 0 |
| 5 | A Critical Overview on Quantum Computing显示文摘Quantum Computing and Quantum Information Science seem very promising and developing rapidly since its inception in early 1980s by Paul Benioff with the proposal of quantum mechanical model of the Turing machine and later By Richard Feynman and Yuri Manin for the proposal of a quantum computers for simulating various problems that classical computer could not.Quantum computers have a computational advantage for some problems,over classical computers and most applications are trying to use an efficient combination of classical and quantum computers like Shor’s factoring algorithm.Other areas that are expected to be benefitted from quantum computing are Machine Learning and deep learning,molecular biology,genomics and cancer research,space exploration,atomic and nuclear research and macro-economic forecasting.This paper represents a brief overview of the state of art of quantum computing and quantum information science with discussions of various theoretical and experimental aspects adopted by the researchers. | Saptarshi Sahoo Amit Kumar Mandal Pijus Kanti Samanta Indranil Basu Pratik Roy | 2020 | Journal of Quantum Computing2020，2，4： | 0 |
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