Search Results - "Kusne, Aaron Gilad"

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks by Oviedo, Felipe, Ren, Zekun, Sun, Shijing, Settens, Charles, Liu, Zhe, Hartono, Noor Titan Putri, Ramasamy, Savitha, DeCost, Brian L., Tian, Siyu I. P., Romano, Giuseppe, Gilad Kusne, Aaron, Buonassisi, Tonio

“…X-ray diffraction (XRD) data acquisition and analysis is among the most time-consuming steps in the development cycle of novel thin-film materials. We propose…”
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Machine-learning guided discovery of a new thermoelectric material by Iwasaki, Yuma, Takeuchi, Ichiro, Stanev, Valentin, Kusne, Aaron Gilad, Ishida, Masahiko, Kirihara, Akihiro, Ihara, Kazuki, Sawada, Ryohto, Terashima, Koichi, Someya, Hiroko, Uchida, Ken-ichi, Saitoh, Eiji, Yorozu, Shinichi

“…Thermoelectric technologies are becoming indispensable in the quest for a sustainable future. Recently, an emerging phenomenon, the spin-driven thermoelectric…”
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Artificial intelligence for search and discovery of quantum materials by Stanev, Valentin, Choudhary, Kamal, Kusne, Aaron Gilad, Paglione, Johnpierre, Takeuchi, Ichiro

“…Artificial intelligence and machine learning are becoming indispensable tools in many areas of physics, including astrophysics, particle physics, and climate…”
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On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets by Kusne, Aaron Gilad, Gao, Tieren, Mehta, Apurva, Ke, Liqin, Nguyen, Manh Cuong, Ho, Kai-Ming, Antropov, Vladimir, Wang, Cai-Zhuang, Kramer, Matthew J., Long, Christian, Takeuchi, Ichiro

“…Advanced materials characterization techniques with ever-growing data acquisition speed and storage capabilities represent a challenge in modern materials…”
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Graph Neural Network Predictions of Metal Organic Framework CO2 Adsorption Properties by Choudhary, Kamal, Yildirim, Taner, Siderius, Daniel, Kusne, Aaron Gilad, McDannald, Austin, Ortiz-Montalvo, Diana

“…The increasing CO2 level is a critical concern and suitable materials are needed to capture such gases from the environment. While experimental and…”
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Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns by Jha, Dipendra, Kusne, Aaron Gilad, Al-Bahrani, Reda, Nguyen, Nam, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit

“…X-ray diffraction (XRD) is a well-known technique used by scientists and engineers to determine the atomic-scale structures as a basis for understanding the…”
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Benchmarking active learning strategies for materials optimization and discovery by Wang, Alex, Liang, Haotong, McDannald, Austin, Takeuchi, Ichiro, Kusne, Aaron Gilad

“…Abstract Autonomous physical science is revolutionizing materials science. In these systems, machine learning (ML) controls experiment design, execution and…”
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Accelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis by Sun, Shijing, Hartono, Noor T. P, Ren, Zekun D, Oviedo, Felipe, Buscemi, Antonio M, Layurova, Mariya, Chen, De Xin, Ogunfunmi, Tofunmi, Thapa, Janak, Ramasamy, Savitha, Settens, Charles, DeCost, Brian L, Kusne, Aaron Gilad, Liu, Zhe, Tian, Siyu I. P, Peters, I. Marius, Correa-Baena, Juan-Pablo, Buonassisi, Tonio

“…Joule 3, 2019, 1437-1451 Accelerating the experimental cycle for new materials development is vital for addressing the grand energy challenges of the 21st…”
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Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks by Oviedo, Felipe, Ren, Zekun, Sun, Shijing, Settens, Charles, Liu, Zhe, Hartono, Noor Putri, Ramasamy, Savitha, DeCost, Brian L., Tian, Siyu P., Romano, Giuseppe, Gilad Kusne, Aaron, Buonassisi, Tonio

“…X-ray diffraction (XRD) data acquisition and analysis is among the most time-consuming steps in the development cycle of novel thin-film materials. We propose…”
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Generalized analytical solution and study of conductive ellipsoidal field emitters by Kusne, Aaron Gilad

“…This thesis presents new analytical solutions to a core set of field emission parameters for two field emitter geometries—the ellipsoid and the spheroid, a…”
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Generalized analytical solution and study of conductive ellipsoidal field emitters by Kusne, Aaron Gilad

“…This thesis presents new analytical solutions to a core set of field emission parameters for two field emitter geometries---the ellipsoid and the spheroid, a…”
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Machine-learning guided discovery of a high-performance spin-driven thermoelectric material by Iwasaki, Yuma, Takeuchi, Ichiro, Stanev, Valentin, Kusne, Aaron Gilad, Ishida, Masahiko, Kirihara, Akihiro, Ihara, Kazuki, Sawada, Ryohto, Terashima, Koichi, Someya, Hiroko, Uchida, Ken-ichi, Yorozu, Shinichi, Saitoh, Eiji

“…Thermoelectric conversion using Seebeck effect for generation of electricity is becoming an indispensable technology for energy harvesting and smart thermal…”
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Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks by Oviedo, Felipe, Ren, Zekun, Sun, Shijing, Settens, Charlie, Liu, Zhe, Hartono, Noor Titan Putri, Savitha, Ramasamy, DeCost, Brian L, Tian, Siyu I. P, Romano, Giuseppe, Kusne, Aaron Gilad, Buonassisi, Tonio

“…X-ray diffraction (XRD) data acquisition and analysis is among the most time-consuming steps in the development cycle of novel thin-film materials. We propose…”
Get full text