Search Results - "Subramanian, K S"

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  1. 1

    Operando tribochemical formation of onion-like-carbon leads to macroscale superlubricity by Berman, Diana, Narayanan, Badri, Cherukara, Mathew J., Sankaranarayanan, Subramanian K. R. S., Erdemir, Ali, Zinovev, Alexander, Sumant, Anirudha V.

    Published in Nature communications (21-03-2018)
    “…Stress-induced reactions at the sliding interface during relative movement are known to cause structural or chemical modifications in contacting materials. The…”
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  2. 2

    Machine learning coarse grained models for water by Chan, Henry, Cherukara, Mathew J., Narayanan, Badri, Loeffler, Troy D., Benmore, Chris, Gray, Stephen K., Sankaranarayanan, Subramanian K. R. S.

    Published in Nature communications (22-01-2019)
    “…An accurate and computationally efficient molecular level description of mesoscopic behavior of ice-water systems remains a major challenge. Here, we introduce…”
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    Controlled-release fertilizer of zinc encapsulated by a manganese hollow core shell by Yuvaraj, M, Subramanian, K. S

    Published in Soil science and plant nutrition (Tokyo) (04-03-2015)
    “…A laboratory study was undertaken to regulate the release of zinc (Zn) to the soil–plant system using a nano-sized manganese hollow core shell. The manganese…”
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  5. 5

    Machine Learning Force Field Parameters from Ab Initio Data by Li, Ying, Li, Hui, Pickard, Frank C, Narayanan, Badri, Sen, Fatih G, Chan, Maria K. Y, Sankaranarayanan, Subramanian K. R. S, Brooks, Bernard R, Roux, Benoît

    Published in Journal of chemical theory and computation (12-09-2017)
    “…Machine learning (ML) techniques with the genetic algorithm (GA) have been applied to determine a polarizable force field parameters using only ab initio data…”
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    Machine learning enabled autonomous microstructural characterization in 3D samples by Chan, Henry, Cherukara, Mathew, Loeffler, Troy D., Narayanan, Badri, Sankaranarayanan, Subramanian K. R. S.

    Published in npj computational materials (06-01-2020)
    “…We introduce an unsupervised machine learning (ML) based technique for the identification and characterization of microstructures in three-dimensional (3D)…”
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  7. 7

    Active site localization of methane oxidation on Pt nanocrystals by Kim, Dongjin, Chung, Myungwoo, Carnis, Jerome, Kim, Sungwon, Yun, Kyuseok, Kang, Jinback, Cha, Wonsuk, Cherukara, Mathew J., Maxey, Evan, Harder, Ross, Sasikumar, Kiran, K. R. S. Sankaranarayanan, Subramanian, Zozulya, Alexey, Sprung, Michael, Riu, Dohhyung, Kim, Hyunjung

    Published in Nature communications (24-08-2018)
    “…High catalytic efficiency in metal nanocatalysts is attributed to large surface area to volume ratios and an abundance of under-coordinated atoms that can…”
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    Role of Solvation Dynamics and Local Ordering of Water in Inducing Conformational Transitions in Poly(N-isopropylacrylamide) Oligomers through the LCST by Deshmukh, Sanket A, Sankaranarayanan, Subramanian K. R. S, Suthar, Kamlesh, Mancini, Derrick C

    Published in The journal of physical chemistry. B (08-03-2012)
    “…Conformational transitions in thermo-sensitive polymers are critical in determining their functional properties. The atomistic origin of polymer collapse at…”
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  10. 10

    Learning in continuous action space for developing high dimensional potential energy models by Manna, Sukriti, Loeffler, Troy D., Batra, Rohit, Banik, Suvo, Chan, Henry, Varughese, Bilvin, Sasikumar, Kiran, Sternberg, Michael, Peterka, Tom, Cherukara, Mathew J., Gray, Stephen K., Sumpter, Bobby G., Sankaranarayanan, Subramanian K. R. S.

    Published in Nature communications (18-01-2022)
    “…Reinforcement learning (RL) approaches that combine a tree search with deep learning have found remarkable success in searching exorbitantly large, albeit…”
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    Ab Initio-Based Bond Order Potential to Investigate Low Thermal Conductivity of Stanene Nanostructures by Cherukara, Mathew J, Narayanan, Badri, Kinaci, Alper, Sasikumar, Kiran, Gray, Stephen K, Chan, Maria K.Y, Sankaranarayanan, Subramanian K. R. S

    Published in The journal of physical chemistry letters (06-10-2016)
    “…We introduce a bond order potential (BOP) for stanene based on an ab initio derived training data set. The potential is optimized to accurately describe the…”
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  12. 12

    Removal of Non-Specifically Bound Proteins Using Rayleigh Waves Generated on ST-Quartz Substrates by Richardson, Mandek, Das, Pradipta K, Morrill, Samuel, Suthar, Kamlesh J, Sankaranarayanan, Subramanian K R S, Bhethanabotla, Venkat R

    Published in Sensors (Basel, Switzerland) (28-05-2022)
    “…Label-free biosensors are plagued by the issue of non-specific protein binding which negatively affects sensing parameters such as sensitivity, selectivity,…”
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  13. 13

    Phase Segmentation in Atom-Probe Tomography Using Deep Learning-Based Edge Detection by Madireddy, Sandeep, Chung, Ding-Wen, Loeffler, Troy, Sankaranarayanan, Subramanian K. R. S., Seidman, David N., Balaprakash, Prasanna, Heinonen, Olle

    Published in Scientific reports (27-12-2019)
    “…Atom-probe tomography (APT) facilitates nano- and atomic-scale characterization and analysis of microstructural features. Specifically, APT is well suited to…”
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  14. 14

    Perovskite nickelates as bio-electronic interfaces by Zhang, Hai-Tian, Zuo, Fan, Li, Feiran, Chan, Henry, Wu, Qiuyu, Zhang, Zhan, Narayanan, Badri, Ramadoss, Koushik, Chakraborty, Indranil, Saha, Gobinda, Kamath, Ganesh, Roy, Kaushik, Zhou, Hua, Chubykin, Alexander A., Sankaranarayanan, Subramanian K. R. S., Choi, Jong Hyun, Ramanathan, Shriram

    Published in Nature communications (10-04-2019)
    “…Functional interfaces between electronics and biological matter are essential to diverse fields including health sciences and bio-engineering. Here, we report…”
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    Thermomechanical Response of Self-Assembled Nanoparticle Membranes by Wang, Yifan, Chan, Henry, Narayanan, Badri, McBride, Sean P, Sankaranarayanan, Subramanian K. R. S, Lin, Xiao-Min, Jaeger, Heinrich M

    Published in ACS nano (22-08-2017)
    “…Monolayers composed of colloidal nanoparticles, with a thickness of less than 10 nm, have remarkable mechanical moduli and can suspend over micrometer-sized…”
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  17. 17

    High-Entropy 2D Carbide MXenes: TiVNbMoC3 and TiVCrMoC3 by Nemani, Srinivasa Kartik, Zhang, Bowen, Wyatt, Brian C, Hood, Zachary D, Manna, Sukriti, Khaledialidusti, Rasoul, Hong, Weichen, Sternberg, Michael G, Sankaranarayanan, Subramanian K. R. S, Anasori, Babak

    Published in ACS nano (24-08-2021)
    “…Two-dimensional (2D) transition metal carbides and nitrides, known as MXenes, are a fast-growing family of 2D materials. MXenes 2D flakes have n + 1 (n = 1–4)…”
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    Alloy-assisted deposition of three-dimensional arrays of atomic gold catalyst for crystal growth studies by Fang, Yin, Jiang, Yuanwen, Cherukara, Mathew J., Shi, Fengyuan, Koehler, Kelliann, Freyermuth, George, Isheim, Dieter, Narayanan, Badri, Nicholls, Alan W., Seidman, David N., Sankaranarayanan, Subramanian K. R. S., Tian, Bozhi

    Published in Nature communications (08-12-2017)
    “…Large-scale assembly of individual atoms over smooth surfaces is difficult to achieve. A configuration of an atom reservoir, in which individual atoms can be…”
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    Arsenic removal from drinking water using iron oxide-coated sand by THIRUNAVUKKARASU, O. S, VIRARAGHAVAN, T, SUBRAMANIAN, K. S

    Published in Water, air, and soil pollution (2003)
    “…This article describes experiments in which iron oxide-coated sand(IOCS) was used to study the removal of both As(V) and As(III) to a level less than 5 μg…”
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    Responses of field grown tomato plants to arbuscular mycorrhizal fungal colonization under varying intensities of drought stress by Subramanian, K.S., Santhanakrishnan, P., Balasubramanian, P.

    Published in Scientia horticulturae (06-02-2006)
    “…The effects of root colonization by the arbuscular mycorrhizal (AM) fungus Glomus intraradices Schenck and Smith on growth, flower and fruit production, and…”
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