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| 1 | Cold rolling behaviour and textural evolution in AISI 316L austenitic stainless steel显示文摘 | Sandip Ghosh Chowdhury Samar Das P.K. De | 2005 | Acta Materialia2005，，14： | 1 |
| 2 | Cold Roiling Behaviour and Textural Evolution in AISI 316L 显示文摘 | Sandip Ghosh Chowdhury Samar Das De P K | 2005 | Acta Mater2005，53，： | 1 |
| 3 | Genic markers for wild abortive (WA) cytoplasm based male sterility and its fertility restoration in rice显示文摘 | Umakanta Ngangkham Swarup K. Parida Sandip De K. Anand Raj Kumar Ashok K. Singh Nagendra K. Singh Trilochan Mohapatra | 2010 | Molecular Breeding2010，，2： | 1 |
| 4 | 两种不同垂直穿孔屏障的孔隙率对斜波衍射的影响(英文)显示文摘The diffraction of obliquely incident wave by two unequal barriers with different porosity in infinitely deep water is investigated by using two-dimensional linearized potential theory.Reflection and transmission coefficients are computed numerically using appropriate Galerkin approximations for two partially immersed and two submerged barriers.The amount of energy dissipation due to the permeable barriers is derived using Green’s integral theorem.The coefficient of wave force is determined using the linear Bernoulli equation of dynamic pressure jump on the porous barriers.The numerical results of hydrodynamics quantities are illustrated graphically. | Anjan Sasmal Sandip Paul Soumen De | 2019 | Journal of Marine Science and Application2019，18，4： | 0 |
| 5 | Wave Scattering by Porous Bottom Undulation in a Two Layered Channel显示文摘在隧道流动由二层组成由底部波动散布飞机表面波浪被假设隧道的床由多孔的材料组成调查。液体的上面的表面被一个僵硬的盖围住,隧道在水平方向是无界的。在那里存在相应于一个内部波浪的一个仅仅波浪模式。为小波动,简化不安分析被用来首先以包含描述底部的形状功能的积分获得顺序思考和传播系数。为正弦曲线底部波动和指数地腐烂的底部地形学,第一命令系数被计算。在正弦曲线底部的情况中,第一个顺序传播系数被发现相等消失。数字结果在很多个数字图形地被描绘。 | Sandip Pault Soumen De | 2014 | Journal of Marine Science and Application2014，13，4： | 0 |
| 6 | Accurate energy barriers for catalytic reaction pathways: an automatic training protocol for machine learning force fields显示文摘We introduce a training protocol for developing machine learning force fields(MLFFs),capable of accurately determining energy barriers in catalytic reaction pathways.The protocol is validated on the extensively explored hydrogenation of carbon dioxide to methanol over indium oxide.With the help of active learning,the final force field obtains energy barriers within 0.05 eV of Density Functional Theory.Thanks to the computational speedup,not only do we reduce the cost of routine in-silico catalytic tasks,but also find an alternative path for the previously established rate-limiting step,with a 40%reduction in activation energy.Furthermore,we illustrate the importance of finite temperature effects and compute free energy barriers.The transferability of the protocol is demonstrated on the experimentally relevant,yet unexplored,top-layer reduced indium oxide surface.The ability of MLFFs to enhance our understanding of extensively studied catalysts underscores the need for fast and accurate alternatives to direct ab-initio simulations. | Lars L.Schaaf Edvin Fako Sandip De Ansgar Schäfer Gábor Csányi | 2023 | npj Computational Materials2023，，1： | 0 |
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