Search Results - "Foster, Ian T."

Choosing experiments to accelerate collective discovery by Rzhetsky, Andrey, Foster, Jacob G., Foster, Ian T., Evans, James A.

“…A scientist’s choice of research problem affects his or her personal career trajectory. Scientists’ combined choices affect the direction and efficiency of…”
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AICCA: AI-Driven Cloud Classification Atlas by Kurihana, Takuya, Moyer, Elisabeth J., Foster, Ian T.

“…Clouds play an important role in the Earth’s energy budget, and their behavior is one of the largest uncertainties in future climate projections. Satellite…”
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A Combined Machine Learning and High-Energy X-ray Diffraction Approach to Understanding Liquid and Amorphous Metal Oxides by Sivaraman, Ganesh, Csanyi, Gabor, Vazquez-Mayagoitia, Alvaro, Foster, Ian T., Wilke, Stephen K., Weber, Richard, Benmore, Chris J.

“…Determining the structure-property relations of liquid and amorphous metal oxides is challenging, due to their variable short-range order and polyhedral…”
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Deep learning at the edge enables real-time streaming ptychographic imaging by Babu, Anakha V., Zhou, Tao, Kandel, Saugat, Bicer, Tekin, Liu, Zhengchun, Judge, William, Ching, Daniel J., Jiang, Yi, Veseli, Sinisa, Henke, Steven, Chard, Ryan, Yao, Yudong, Sirazitdinova, Ekaterina, Gupta, Geetika, Holt, Martin V., Foster, Ian T., Miceli, Antonino, Cherukara, Mathew J.

“…Coherent imaging techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to…”
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Robotic pendant drop: containerless liquid for μs-resolved, AI-executable XPCS by Ozgulbas, Doga Yamac, Jensen, Don, Butler, Rory, Vescovi, Rafael, Foster, Ian T., Irvin, Michael, Nakaye, Yasukazu, Chu, Miaoqi, Dufresne, Eric M., Seifert, Soenke, Babnigg, Gyorgy, Ramanathan, Arvind, Zhang, Qingteng

“…The dynamics and structure of mixed phases in a complex fluid can significantly impact its material properties, such as viscoelasticity. Small-angle X-ray…”
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Supercomputing for the parallelization of whole genome analysis by Puckelwartz, Megan J, Pesce, Lorenzo L, Nelakuditi, Viswateja, Dellefave-Castillo, Lisa, Golbus, Jessica R, Day, Sharlene M, Cappola, Thomas P, Dorn, 2nd, Gerald W, Foster, Ian T, McNally, Elizabeth M

“…The declining cost of generating DNA sequence is promoting an increase in whole genome sequencing, especially as applied to the human genome. Whole genome…”
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Trace: a high-throughput tomographic reconstruction engine for large-scale datasets by Bicer, Tekin, Gürsoy, Doğa, Andrade, Vincent De, Kettimuthu, Rajkumar, Scullin, William, Carlo, Francesco De, Foster, Ian T.

“…Background Modern synchrotron light sources and detectors produce data at such scale and complexity that large-scale computation is required to unleash their…”
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2′-O methylation of RNA cap in SARS-CoV-2 captured by serial crystallography by Wilamowski, Mateusz, Sherrell, Darren A., Minasov, George, Kim, Youngchang, Shuvalova, Ludmilla, Lavens, Alex, Chard, Ryan, Maltseva, Natalia, Jedrzejczak, Robert, Rosas-Lemus, Monica, Saint, Nickolaus, Foster, Ian T., Michalska, Karolina, Satchell, Karla J. F., Joachimiak, Andrzej

“…The genome of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) coronavirus has a capping modification at the 5′-untranslated region (UTR) to…”
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Quantum-Chemically Informed Machine Learning: Prediction of Energies of Organic Molecules with 10 to 14 Non-hydrogen Atoms by Dandu, Naveen, Ward, Logan, Assary, Rajeev S, Redfern, Paul C, Narayanan, Badri, Foster, Ian T, Curtiss, Larry A

“…High-fidelity quantum-chemical calculations can provide accurate predictions of molecular energies, but their high computational costs limit their utility,…”
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Deep Neural Network Training With Distributed K-FAC by Pauloski, J. Gregory, Huang, Lei, Xu, Weijia, Chard, Kyle, Foster, Ian T., Zhang, Zhao

“…Scaling deep neural network training to more processors and larger batch sizes is key to reducing end-to-end training time; yet, maintaining comparable…”
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Prevalence of Inherited Mutations in Breast Cancer Predisposition Genes among Women in Uganda and Cameroon by Adedokun, Babatunde, Zheng, Yonglan, Ndom, Paul, Gakwaya, Antony, Makumbi, Timothy, Zhou, Alicia Y, Yoshimatsu, Toshio F, Rodriguez, Alex, Madduri, Ravi K, Foster, Ian T, Sallam, Aminah, Olopade, Olufunmilayo I, Huo, Dezheng

“…Sub-Saharan Africa (SSA) has a high proportion of premenopausal hormone receptor negative breast cancer. Previous studies reported a strikingly high prevalence…”
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Linking scientific instruments and computation: Patterns, technologies, and experiences by Vescovi, Rafael, Chard, Ryan, Saint, Nickolaus D., Blaiszik, Ben, Pruyne, Jim, Bicer, Tekin, Lavens, Alex, Liu, Zhengchun, Papka, Michael E., Narayanan, Suresh, Schwarz, Nicholas, Chard, Kyle, Foster, Ian T.

“…Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s. Online analysis methods are needed to enable the collection of…”
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MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging by Hidayetoglu, Mert, Bicer, Tekin, de Gonzalo, Simon Garcia, Ren, Bin, Gursoy, Doga, Kettimuthu, Rajkumar, Foster, Ian T., Hwu, Wen-Mei W.

“…This work extends our previous research entitled "MemXCT: Memory-centric X-ray CT Reconstruction with Massive Parallelization" that was originally published at…”
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Experiences building Globus Genomics: a next-generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services by Madduri, Ravi K., Sulakhe, Dinanath, Lacinski, Lukasz, Liu, Bo, Rodriguez, Alex, Chard, Kyle, Dave, Utpal J., Foster, Ian T.

“…SUMMARY We describe Globus Genomics, a system that we have developed for rapid analysis of large quantities of next‐generation sequencing genomic data. This…”
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Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses by Liu, Bo, Madduri, Ravi K, Sotomayor, Borja, Chard, Kyle, Lacinski, Lukasz, Dave, Utpal J, Li, Jianqiang, Liu, Chunchen, Foster, Ian T

“…[Display omitted] •Propose a Cloud-based bioinformatics workflow platform for next-generation sequencing analyses.•Propose a method for automatically deploying…”
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Blending Education and Polymer Science: Semiautomated Creation of a Thermodynamic Property Database by Tchoua, Roselyne B, Qin, Jian, Audus, Debra J, Chard, Kyle, Foster, Ian T, de Pablo, Juan

“…Structured databases of chemical and physical properties play a central role in the everyday research activities of scientists and engineers. In materials…”
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Uncovering novel liquid organic hydrogen carriers: a systematic exploration of chemical compound space using cheminformatics and quantum chemical methods by Harb, Hassan, Elliott, Sarah N, Ward, Logan, Foster, Ian T, Klippenstein, Stephen J, Curtiss, Larry A, Assary, Rajeev Surendran

“…We present a comprehensive, in silico -based discovery approach to identifying novel liquid organic hydrogen carrier (LOHC) candidates using cheminformatics…”
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Optimization of tomographic reconstruction workflows on geographically distributed resources by Bicer, Tekin, Gürsoy, Dogˇa, Kettimuthu, Rajkumar, De Carlo, Francesco, Foster, Ian T.

“…New technological advancements in synchrotron light sources enable data acquisitions at unprecedented levels. This emergent trend affects not only the size of…”
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What is missing in autonomous discovery: open challenges for the community by Maffettone, Phillip M, Friederich, Pascal, Baird, Sterling G, Blaiszik, Ben, Brown, Keith A, Campbell, Stuart I, Cohen, Orion A, Davis, Rebecca L, Foster, Ian T, Haghmoradi, Navid, Hereld, Mark, Joress, Howie, Jung, Nicole, Kwon, Ha-Kyung, Pizzuto, Gabriella, Rintamaki, Jacob, Steinmann, Casper, Torresi, Luca, Sun, Shijing

“…Self-driving labs (SDLs) leverage combinations of artificial intelligence, automation, and advanced computing to accelerate scientific discovery. The promise…”
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Lynx web services for annotations and systems analysis of multi-gene disorders by Sulakhe, Dinanath, Taylor, Andrew, Balasubramanian, Sandhya, Feng, Bo, Xie, Bingqing, Börnigen, Daniela, Dave, Utpal J, Foster, Ian T, Gilliam, T Conrad, Maltsev, Natalia

“…Lynx is a web-based integrated systems biology platform that supports annotation and analysis of experimental data and generation of weighted hypotheses on…”
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