16.07 Dynamics, Fall 2004 by Peraire, Jaume

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Dynamic chloride ion adsorption on single iridium atom boosts seawater oxidation catalysis by Duan, Xinxuan, Sha, Qihao, Li, Pengsong, Li, Tianshui, Yang, Guotao, Liu, Wei, Yu, Ende, Zhou, Daojin, Fang, Jinjie, Chen, Wenxing, Chen, Yizhen, Zheng, Lirong, Liao, Jiangwen, Wang, Zeyu, Li, Yaping, Yang, Hongbin, Zhang, Guoxin, Zhuang, Zhongbin, Hung, Sung-Fu, Jing, Changfei, Luo, Jun, Bai, Lu, Dong, Juncai, Xiao, Hai, Liu, Wen, Kuang, Yun, Liu, Bin, Sun, Xiaoming

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Observation of flat bands and Dirac cones in a pyrochlore lattice superconductor by Huang, Jianwei, Setty, Chandan, Deng, Liangzi, You, Jing-Yang, Liu, Hongxiong, Shao, Sen, Oh, Ji Seop, Guo, Yucheng, Zhang, Yichen, Yue, Ziqin, Yin, Jia-Xin, Hashimoto, Makoto, Lu, Donghui, Gorovikov, Sergey, Dai, Pengcheng, Denlinger, Jonathan D., Allen, J. W., Hasan, M. Zahid, Feng, Yuan-Ping, Birgeneau, Robert J., Shi, Youguo, Chu, Ching-Wu, Chang, Guoqing, Si, Qimiao, Yi, Ming

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Northern gene flow into southeastern East Asians inferred from genome-wide array genotyping by He, Guang-Lin, Li, Ying-Xiang, Zou, Xing, Yeh, Hui-Yuan, Tang, Ren-Kuan, Wang, Pei-Xin, Bai, Jing-Ya, Yang, Xiao-Min, Wang, Zheng, Guo, Jian-Xin, Chen, Jin-Wen, Chen, Jing, Yang, Mei-Qing, Zhao, Jing, Sun, Jin, Zhu, Kong-Yang, Ma, Hao, Wang, Rui, Yang, Wen-Jiao, Hu, Rong, Wei, Lan-Hai, Hou, Yi-Ping, Wang, Meng-Ge, Chen, Gang, Wang, Chuan-Chao

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Ultrahigh electromechanical response from competing ferroic orders by Lin, Baichen, Ong, Khuong Phuong, Yang, Tiannan, Zeng, Qibin, Hui, Hui Kim, Ye, Zhen, Sim, Celine, Yen, Zhihao, Yang, Ping, Dou, Yanxin, Li, Xiaolong, Gao, Xingyu, Tan, Ivan Chee Kiang, Lim, Zhi Shiuh, Zeng, Shengwei, Luo, Tiancheng, Xu, Jinlong, Tong, Xin, Li, Patrick Wen Feng, Ren, Minqin, Zeng, Kaiyang, Sun, Chengliang, Ramakrishna, Seeram, Breese, Mark B. H., Boothroyd, Chris, Lee, Chengkuo, Singh, David J., Lam, Yeng Ming, Liu, Huajun

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ENIGMA CHEK2gether project: a comprehensive study identifies functionally impaired CHEK2 germline missense variants associated with increased breast cancer risk by Stolarova, Lenka, Kleiblova, Petra, Zemankova, Petra, Stastna, Barbora, Janatova, Marketa, Soukupova, Jana, Achatz, Maria Isabel, Ambrosone, Christine, Apostolou, Paraskevi, Arun, Banu K., Auer, Paul, Barnard, Mollie, Bertelsen, Birgitte, Blok, Marinus J., Boddicker, Nicholas, Brunet, Joan, Burnside, Elizabeth S., Calvello, Mariarosaria, Campbell, Ian, Chan, Sock Hoai, Chen, Fei, Chiang, Jian Bang, Coppa, Anna, Cortesi, Laura, Crujeiras-González, Ana, De Leeneer, Kim, De Putter, Robin, DePersia, Allison, Devereux, Lisa, Domchek, Susan, Efremidis, Anna, Engel, Christoph, Ernst, Corinna, Evans, D. Gareth R., Feliubadaló, Lidia, Fostira, Florentia, Fuentes-Ríos, Olivia, Gómez-García, Encarna B., González, Sara, Haiman, Christopher, Hansen, Thomas van Overeem, Hauke, Jan, Hodge, James, Hu, Chunling, Huang, Hongyan, Ishak, Nur Diana Binte, Iwasaki, Yusuke, Konstantopoulou, Irene, Kraft, Peter, Lacey, James, Lázaro, Conxi, Li, Na, Lim, Weng Khong, Lindstrom, Sara, Lori, Adriana, Martinez, Elana, Martins, Alexandra, Matsuda, Koichi, Matullo, Giuseppe, McInerny, Simone, Michailidou, Kyriaki, Montagna, Marco, Monteiro, Alvaro N. A., Mori, Luigi, Nathanson, Katherine, Neuhausen, Susan L., Nevanlinna, Heli, Olson, Janet E., Palmer, Julie, Pasini, Barbara, Patel, Alpa, Piane, Maria, Poppe, Bruce, Radice, Paolo, Renieri, Alessandra, Resta, Nicoletta, Richardson, Marcy E., Rosseel, Toon, Ruddy, Kathryn J., Santamariña, Marta, Dos Santos, Elizabeth Santana, Teras, Lauren, Toland, Amanda E., Trentham-Dietz, Amy, Vachon, Celine M., Volk, Alexander E., Weber-Lassalle, Nana, Weitzel, Jeffrey N., Wiesmuller, Lisa, Winham, Stacey, Yadav, Siddhartha, Yannoukakos, Drakoulis, Yao, Song, Zampiga, Valentina, Zethoven, Magnus, Zhang, Ze Wen, Zima, Tomas, Spurdle, Amanda B., Vega, Ana, Rossing, Maria, Del Valle, Jesús, De Nicolo, Arcangela, Hahnen, Eric, Claes, Kathleen B. M., Ngeow, Joanne, Momozawa, Yukihide, James, Paul A., Couch, Fergus J., Macurek, Libor, Kleibl, Zdenek

“…The OR and 95% CI (confidence intervals) for carriers of functionally impaired, intermediate, and WT-like variants were 2.83 (95% CI, 2.35–3.41), 1.57 (95% CI, 1.41–1.75), and 1.19 (95% CI, 1.08–1.31), respectively. …”
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Extensive promoter-centered chromatin interactions provide a topological basis for transcription regulation by Li, Guoliang, Ruan, Xiaoan, Auerbach, Raymond K., Sandhu, Kuljeet Singh, Zheng, Meizhen, Wang, Ping, Poh, Huay Mei, Goh, Yufen, Lim, Joanne, Zhang, Jingyao, Sim, Hui Shan, Peh, Su Qin, Mulawadi, Fabianus Hendriyan, Ong, Chin Thing, Orlov, Yuriy L., Hong, Shuzhen, Zhang, Zhizhuo, Landt, Steve, Raha, Debasish, Euskirchen, Ghia, Wei, Chia-Lin, Ge, Weihong, Wang, Huaien, Davis, Carrie, Fisher-Aylor, Katherine I., Mortazavi, Ali, Gerstein, Mark, Gingeras, Thomas, Wold, Barbara, Sun, Yi, Cheung, Edwin, Liu, Edison, Sung, Wing-Kin, Snyder, Michael, Ruan, Yijun, Fullwood, Melissa Jane

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Priorities to inform research on marine plastic pollution in Southeast Asia by Omeyer, Lucy C. M., Duncan, Emily M., Aiemsomboon, Kornrawee, Beaumont, Nicola, Bureekul, Sujaree, Cao, Bin, Carrasco, Luis R., Chavanich, Suchana, Clark, James R., Cordova, Muhammad R., Couceiro, Fay, Cragg, Simon M., Dickson, Neil, Failler, Pierre, Ferraro, Gianluca, Fletcher, Stephen, Fong, Jenny, Ford, Alex T., Gutierrez, Tony, Shahul Hamid, Fauziah, Hiddink, Jan G., Hoa, Pham T., Holland, Sophie I., Jones, Lowenna, Jones, Nia H., Koldewey, Heather, Lauro, Federico M., Lee, Charlotte, Lewis, Matt, Marks, Danny, Matallana-Surget, Sabine, Mayorga-Adame, Claudia G., McGeehan, John, Messer, Lauren F., Michie, Laura, Miller, Michelle A., Mohamad, Zeeda F., Nor, Nur Hazimah Mohamed, Müller, Moritz, Neill, Simon P., Nelms, Sarah E., Onda, Deo Florence L., Ong, Joyce J. L., Pariatamby, Agamuthu, Phang, Sui C., Quilliam, Richard, Robins, Peter E., Salta, Maria, Sartimbul, Aida, Shakuto, Shiori, Skov, Martin W., Taboada, Evelyn B., Todd, Peter A., Toh, Tai Chong, Valiyaveettil, Suresh, Viyakarn, Voranop, Wonnapinij, Passorn, Wood, Louisa E., Yong, Clara L. X., Godley, Brendan J.

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Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation by Abdullah, null, Faye, Ibrahima, Laila Amera, Aziz

“…Additionally, investigating new application domains like linked multi-physics issues or real-time simulation situations may help to increase the reach and significance of PINN approaches.…”
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Measuring the predictability of life outcomes with a scientific mass collaboration by Salganik, Matthew J., Lundberg, Ian, Kindel, Alexander T., Ahearn, Caitlin E., Al-Ghoneim, Khaled, Almaatouq, Abdullah, Altschul, Drew M., Brand, Jennie E., Carnegie, Nicole Bohme, Compton, Ryan James, Datta, Debanjan, Davidson, Thomas, Filippova, Anna, Gilroy, Connor, Goode, Brian J., Jahani, Eaman, Kashyap, Ridhi, Kirchner, Antje, McKay, Stephen, Morgan, Allison C., Pentland, Alex, Polimis, Kivan, Raes, Louis, Rigobon, Daniel E., Roberts, Claudia V., Stanescu, Diana M., Suhara, Yoshihiko, Usmani, Adaner, Wang, Erik H., Adem, Muna, Alhajri, Abdulla, AlShebli, Bedoor, Amin, Redwane, Amos, Ryan B., Argyle, Lisa P., Baer-Bositis, Livia, Buchi, Moritz, Chung, Bo-Ryehn, Eggert, William, Faletto, Gregory, Fan, Zhilin, Freese, Jeremy, Gadgil, Tejomay, Gagne ́, Josh, Gao, Yue, Halpern-Manners, Andrew, Hashim, Sonia P., Hausen, Sonia, He, Guanhua, Higuera, Kimberly, Hogan, Bernie, Horwitz, Ilana M., Hummel, Lisa M., Jain, Naman, Jin, Kun, Jurgens, David, Kaminski, Patrick, Karapetyan, Areg, Kim, E. H., Leizman, Ben, Liu, Naijia, Moser, Malte, Mack, Andrew E., Mahajan, Mayank, Mandell, Noah, Marahrens, Helge, Mercado-Garcia, Diana, Mocz, Viola, Mueller-Gastell, Katariina, Musse, Ahmed, Niu, Qiankun, Nowak, William, Omidvar, Hamidreza, Or, Andrew, Ouyang, Karen, Pinto, Katy M., Porter, Ethan, Porter, Kristin E., Qian, Crystal, Rauf, Tamkinat, Sargsyan, Anahit, Schaffner, Thomas, Schnabel, Landon, Schonfeld, Bryan, Sender, Ben, Tang, Jonathan D., Tsurkov, Emma, van Loon, Austin, Varol, Onur, Wang, Xiafei, Wang, Zhi, Wang, Julia, Wang, Flora, Weissman, Samantha, Whitaker, Kirstie, Wolters, Maria K., Woon, Wei Lee, Wu, James, Wu, Catherine, Yang, Kengran, Yin, Jingwen, Zhao, Bingyu, Zhu, Chenyun, Brooks-Gunn, Jeanne, Engelhardt, Barbara E., Hardt, Moritz, Knox, Dean, Levy, Karen, Narayanan, Arvind, Stewart, Brandon M., Watts, Duncan J., McLanahan, Sara

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Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

“…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

“…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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Roadmap on energy harvesting materials by Pecunia, Vincenzo, Silva, S Ravi P, Phillips, Jamie D., Artegiani, Elisa, Romeo, Alessandro, Shim, Hongjae, Park, Jongsung, Kim, Jin Hyeok, Yun, Jae Sung, Welch, Gregory C., Larson, Bryon W., Creran, Myles, Laventure, Audrey, Sasitharan, Kezia, Flores-Diaz, Natalie, Freitag, Marina, Xu, Jie, Brown, Thomas M., Li, Benxuan, Wang, Yiwen, Li, Zhe, Hou, Bo, Hamadani, Behrang H., Defay, Emmanuel, Kovacova, Veronika, Glinsek, Sebastjan, Kar-Narayan, Sohini, Bai, Yang, Kim, Da Bin, Cho, Yong Soo, Žukauskaitė, Agnė, Barth, Stephan, Fan, Feng Ru, Wu, Wenzhuo, Costa, Pedro, del Campo, Javier, Lanceros-Mendez, Senentxu, Khanbareh, Hamideh, Wang, Zhong Lin, Pu, Xiong, Pan, Caofeng, Zhang, Renyun, Xu, Jing, Zhao, Xun, Zhou, Yihao, Chen, Guorui, Tat, Trinny, Ock, Il Woo, Chen, Jun, Graham, Sontyana Adonijah, Yu, Jae Su, Huang, Ling-Zhi, Li, Dan-Dan, Ma, Ming-Guo, Luo, Jikui, Jiang, Feng, Lee, Pooi See, Dudem, Bhaskar, Vivekananthan, Venkateswaran, Kanatzidis, Mercouri G., Xie, Hongyao, Shi, Xiao-Lei, Chen, Zhi-Gang, Riss, Alexander, Parzer, Michael, Garmroudi, Fabian, Bauer, Ernst, Zavanelli, Duncan, Brod, Madison K., Malki, Muath Al, Snyder, G. Jeffrey, Kovnir, Kirill, Kauzlarich, Susan M., Uher, Ctirad, Lan, Jinle, Lin, Yuan-Hua, Fonseca, Luis, Morata, Alex, Martin-Gonzalez, Marisol, Pennelli, Giovanni, Berthebaud, David, Mori, Takao, Quinn, Robert J., Bos, Jan-Willem G., Candolfi, Christophe, Gougeon, Patrick, Gall, Philippe, Lenoir, Bertrand, Venkateshvaran, Deepak, Kaestner, Bernd, Zhao, Yunshan, Zhang, Gang, Nonoguchi, Yoshiyuki, Schroeder, Bob C., Bilotti, Emiliano, Menon, Akanksha K., Urban, Jeffrey J., Fenwick, Oliver, Asker, Ceyla, Talin, A. Alec, Anthopoulos, Thomas D., Losi, Tommaso, Viola, Fabrizio, Caironi, Mario, Georgiadou, Dimitra G., Ding, Li, Peng, Lian-Mao, Wang, Zhenxing, Wei, Muh-Dey, Negra, Renato, Lemme, Max C., Wagih, Mahmoud, Beeby, Steve, Ibn-Mohammed, Taofeeq, Mustapha, K. B., Joshi, A. P.

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Population of Merging Compact Binaries Inferred Using Gravitational Waves through GWTC-3 by Sudhir, Vivishek

“…While the majority of spins are preferentially aligned with the orbital angular momentum, we infer evidence of antialigned spins among the binary population. …”
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Learning stock market dynamics using the kinetic ising model by Nguyen, Ai Linh

“…In this approach, the states in the time series data are represented by configurations of N spins, and the time evolution of these states in the time series data by an update rule that depends on the spin configuration {σ_i (t)}_(i=1,…,N), and the connection weights {W_ij }_(i,j=1,…N) between the spins. …”
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Engineered terahertz emission from spintronic heterostructures: amplitude, phase and chirality by Agarwal, Piyush

“…As such, the photoexcitation leads to ultrafast spin-scattering events in the FM, during which the spins transport from the FM into the adjacent heavy metal(HM) layer to experience an inverse spin Hall effect, producing a transverse charge current and terahertz radiation. …”
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Timekeeper by Ng, Yang Meng

“…Timekeeper is a short film about the chanced meeting of Hock and Anna. Hock, a retired watchmaker, enjoys collecting obsolete objects because he treasures the value in them. …”
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Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

“…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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Domain wall dynamics in engineered multilayer magnetic nanostructures by Lin, Eddy Junxiang

“…This is attributed to the spins of the domain wall in Co60Fe20B20 aligning along the magnetic moment of the permalloy strip above it. …”
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Low temperature growth and characterization of carbon nanostructures by Ding, Yu

“…This report focuses on the low temperature fabrication and characterization of carbon nanostructures such as onion-like carbon and carbon nanotubes (CNTs). Onion-like carbons were grown on different substrates at room temperature using plasma enhanced chemical vapor deposition (PECVD). …”
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