Search Results - "Subramanian, K R"

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.

“…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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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.

“…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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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

“…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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Reconfigurable perovskite nickelate electronics for artificial intelligence by Zhang, Hai-Tian, Park, Tae Joon, Islam, A N M Nafiul, Tran, Dat S J, Manna, Sukriti, Wang, Qi, Mondal, Sandip, Yu, Haoming, Banik, Suvo, Cheng, Shaobo, Zhou, Hua, Gamage, Sampath, Mahapatra, Sayantan, Zhu, Yimei, Abate, Yohannes, Jiang, Nan, Sankaranarayanan, Subramanian K R S, Sengupta, Abhronil, Teuscher, Christof, Ramanathan, Shriram

“…Reconfigurable devices offer the ability to program electronic circuits on demand. In this work, we demonstrated on-demand creation of artificial neurons,…”
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Macroscale superlubricity enabled by graphene nanoscroll formation by Berman, Diana, Deshmukh, Sanket A., Sankaranarayanan, Subramanian K. R. S., Erdemir, Ali, Sumant, Anirudha V.

“…Friction and wear remain as the primary modes of mechanical energy dissipation in moving mechanical assemblies; thus, it is desirable to minimize friction in a…”
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Carbon-based tribofilms from lubricating oils by Erdemir, Ali, Ramirez, Giovanni, Eryilmaz, Osman L., Narayanan, Badri, Liao, Yifeng, Kamath, Ganesh, Sankaranarayanan, Subramanian K. R. S.

“…Moving mechanical interfaces need to be lubricated to ensure long life and easy slippage; here, a new type of coating is described—comprising nitrides of…”
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Quantitative 3D evolution of colloidal nanoparticle oxidation in solution by Sun, Yugang, Zuo, Xiaobing, Sankaranarayanan, Subramanian K. R. S., Peng, Sheng, Narayanan, Badri, Kamath, Ganesh

“…Real-time tracking of the three-dimensional (3D) evolution of colloidal nanoparticles in solution is essential for understanding complex mechanisms involved in…”
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Crude-Oil-Repellent Membranes by Atomic Layer Deposition: Oxide Interface Engineering by Yang, Hao-Cheng, Xie, Yunsong, Chan, Henry, Narayanan, Badri, Chen, Lin, Waldman, Ruben Z, Sankaranarayanan, Subramanian K. R. S, Elam, Jeffrey W, Darling, Seth B

“…Crude oil fouling on membrane surfaces is a persistent, crippling challenge in oil spill remediation and oilfield wastewater treatment. In this research, we…”
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Extraordinary Macroscale Wear Resistance of One Atom Thick Graphene Layer by Berman, Diana, Deshmukh, Sanket A., Sankaranarayanan, Subramanian K. R. S., Erdemir, Ali, Sumant, Anirudha V.

“…During the last few years, graphene's unusual friction and wear properties have been demonstrated at nano to micro scales but its industrial tribological…”
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Perovskite nickelates as electric-field sensors in salt water by Zhang, Zhen, Schwanz, Derek, Narayanan, Badri, Kotiuga, Michele, Dura, Joseph A., Cherukara, Mathew, Zhou, Hua, Freeland, John W., Li, Jiarui, Sutarto, Ronny, He, Feizhou, Wu, Chongzhao, Zhu, Jiaxin, Sun, Yifei, Ramadoss, Koushik, Nonnenmann, Stephen S., Yu, Nanfang, Comin, Riccardo, Rabe, Karin M., Sankaranarayanan, Subramanian K. R. S., Ramanathan, Shriram

“…Application of an electric field changes the transport and optical properties of samarium nickelate submerged in water, making it a suitable passive sensor of…”
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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

“…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 overcomes human bias in the discovery of self-assembling peptides by Batra, Rohit, Loeffler, Troy D., Chan, Henry, Srinivasan, Srilok, Cui, Honggang, Korendovych, Ivan V., Nanda, Vikas, Palmer, Liam C., Solomon, Lee A., Fry, H. Christopher, Sankaranarayanan, Subramanian K. R. S.

“…Peptide materials have a wide array of functions, from tissue engineering and surface coatings to catalysis and sensing. Tuning the sequence of amino acids…”
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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.

“…We introduce an unsupervised machine learning (ML) based technique for the identification and characterization of microstructures in three-dimensional (3D)…”
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Habituation based synaptic plasticity and organismic learning in a quantum perovskite by Zuo, Fan, Panda, Priyadarshini, Kotiuga, Michele, Li, Jiarui, Kang, Mingu, Mazzoli, Claudio, Zhou, Hua, Barbour, Andi, Wilkins, Stuart, Narayanan, Badri, Cherukara, Mathew, Zhang, Zhen, Sankaranarayanan, Subramanian K. R. S., Comin, Riccardo, Rabe, Karin M., Roy, Kaushik, Ramanathan, Shriram

“…A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making. This…”
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Complex Oxides for Brain‐Inspired Computing: A Review by Park, Tae Joon, Deng, Sunbin, Manna, Sukriti, Islam, A. N. M. Nafiul, Yu, Haoming, Yuan, Yifan, Fong, Dillon D., Chubykin, Alexander A., Sengupta, Abhronil, Sankaranarayanan, Subramanian K. R. S., Ramanathan, Shriram

“…The fields of brain‐inspired computing, robotics, and, more broadly, artificial intelligence (AI) seek to implement knowledge gleaned from the natural world…”
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Creation of Single-Photon Emitters in WSe2 Monolayers Using Nanometer-Sized Gold Tips by Peng, Lintao, Chan, Henry, Choo, Priscilla, Odom, Teri W, Sankaranarayanan, Subramanian K. R. S, Ma, Xuedan

“…Due to their tunable bandgaps and strong spin-valley locking, transition metal dichalcogenides constitute a unique platform for hosting single-photon emitters…”
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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

“…Conformational transitions in thermo-sensitive polymers are critical in determining their functional properties. The atomistic origin of polymer collapse at…”
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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

“…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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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.

“…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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Defect Dynamics in 2‑D MoS2 Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy by Patra, Tarak K, Zhang, Fu, Schulman, Daniel S, Chan, Henry, Cherukara, Mathew J, Terrones, Mauricio, Das, Saptarshi, Narayanan, Badri, Sankaranarayanan, Subramanian K. R. S

“…Structural defects govern various physical, chemical, and optoelectronic properties of two-dimensional transition-metal dichalcogenides (TMDs). A fundamental…”
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