Zobrazeno 1 - 10
of 3 352
pro vyhledávání: '"Tran , Nhan"'
Autor:
Tran, Nhan Tri, Tran, Lan Nguyen
Intermolecular charge-transfer (xCT) excited states important for various practical applications are challenging for many standard computational methods. It is highly desirable to have an affordable method that can treat xCT states accurately. In the
Externí odkaz:
http://arxiv.org/abs/2411.00251
Autor:
Badea, Anthony, Bean, Alice, Berry, Doug, Dickinson, Jennet, DiPetrillo, Karri, Fahim, Farah, Gray, Lindsey, Di Guglielmo, Giuseppe, Jiang, David, Kovach-Fuentes, Rachel, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Shekar, Danush, Swartz, Morris, Syal, Chinar, Tran, Nhan, Yoo, Jieun
Detectors at future high energy colliders will face enormous technical challenges. Disentangling the unprecedented numbers of particles expected in each event will require highly granular silicon pixel detectors with billions of readout channels. Wit
Externí odkaz:
http://arxiv.org/abs/2410.02945
Autor:
Baldi, Tommaso, Campos, Javier, Hawks, Ben, Ngadiuba, Jennifer, Tran, Nhan, Diaz, Daniel, Duarte, Javier, Kastner, Ryan, Meza, Andres, Quinnan, Melissa, Weng, Olivia, Geniesse, Caleb, Gholami, Amir, Mahoney, Michael W., Loncar, Vladimir, Harris, Philip, Agar, Joshua, Qin, Shuyu
Extreme data rate scientific experiments create massive amounts of data that require efficient ML edge processing. This leads to unique validation challenges for VLSI implementations of ML algorithms: enabling bit-accurate functional simulations for
Externí odkaz:
http://arxiv.org/abs/2406.19522
Autor:
Parpillon, Benjamin, Syal, Chinar, Yoo, Jieun, Dickinson, Jennet, Swartz, Morris, Di Guglielmo, Giuseppe, Bean, Alice, Berry, Douglas, Valentin, Manuel Blanco, DiPetrillo, Karri, Badea, Anthony, Gray, Lindsey, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Pradhan, Gauri, Tran, Nhan, Wen, Dahai, Fahim, Farah
We present a smart pixel prototype readout integrated circuit (ROIC) designed in CMOS 28 nm bulk process, with in-pixel implementation of an artificial intelligence (AI) / machine learning (ML) based data filtering algorithm designed as proof-of-prin
Externí odkaz:
http://arxiv.org/abs/2406.14860
With more scientific fields relying on neural networks (NNs) to process data incoming at extreme throughputs and latencies, it is crucial to develop NNs with all their parameters stored on-chip. In many of these applications, there is not enough time
Externí odkaz:
http://arxiv.org/abs/2403.08980
Autor:
Gori, Stefania, Tran, Nhan, DiPetrillo, Karri, Echenard, Bertrand, Eldred, Jeffrey, Harnik, Roni, Machado, Pedro, Toups, Matthew, Bernstein, Robert, Bigaran, Innes, Cesarotti, Cari, Dutta, Bhaskar, Herwig, Christian, Jindariani, Sergo, Plestid, Ryan, Shiltsev, Vladimir, Solt, Matthew, Sousa, Alexandre, Stratakis, Diktys, Tabrizi, Zahra, Thapa, Anil, Zettlemoyer, Jacob, Zupan, Jure
We summarize the Fermilab Accelerator Complex Evolution (ACE) Science Workshop, held on June 14-15, 2023. The workshop presented the strategy for the ACE program in two phases: ACE Main Injector Ramp and Target (MIRT) upgrade and ACE Booster Replacem
Externí odkaz:
http://arxiv.org/abs/2403.02422
Autor:
Mao, Lingchao, Wang, Hairong, Hu, Leland S., Tran, Nhan L, Canoll, Peter D, Swanson, Kristin R, Li, Jing
Cancer remains one of the most challenging diseases to treat in the medical field. Machine learning has enabled in-depth analysis of rich multi-omics profiles and medical imaging for cancer diagnosis and prognosis. Despite these advancements, machine
Externí odkaz:
http://arxiv.org/abs/2401.06406
Autor:
Wang, Lujia, Wang, Hairong, D'Angelo, Fulvio, Curtin, Lee, Sereduk, Christopher P., De Leon, Gustavo, Singleton, Kyle W., Urcuyo, Javier, Hawkins-Daarud, Andrea, Jackson, Pamela R., Krishna, Chandan, Zimmerman, Richard S., Patra, Devi P., Bendok, Bernard R., Smith, Kris A., Nakaji, Peter, Donev, Kliment, Baxter, Leslie C., Mrugała, Maciej M., Ceccarelli, Michele, Iavarone, Antonio, Swanson, Kristin R., Tran, Nhan L., Hu, Leland S., Li, Jing
Glioblastoma (GBM) is one of the most aggressive and lethal human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for treatment. Biopsy is invasive, which motivates the development of non-invasive, MRI-based machine learnin
Externí odkaz:
http://arxiv.org/abs/2401.00128
Autor:
Xu, Chenwei, Hu, Jerry Yao-Chieh, Narayanan, Aakaash, Thieme, Mattson, Nagaslaev, Vladimir, Austin, Mark, Arnold, Jeremy, Berlioz, Jose, Hanlet, Pierrick, Ibrahim, Aisha, Nicklaus, Dennis, Mitrevski, Jovan, John, Jason Michael St., Pradhan, Gauri, Saewert, Andrea, Seiya, Kiyomi, Schupbach, Brian, Thurman-Keup, Randy, Tran, Nhan, Shi, Rui, Ogrenci, Seda, Shuping, Alexis Maya-Isabelle, Hazelwood, Kyle, Liu, Han
We introduce a novel Proximal Policy Optimization (PPO) algorithm aimed at addressing the challenge of maintaining a uniform proton beam intensity delivery in the Muon to Electron Conversion Experiment (Mu2e) at Fermi National Accelerator Laboratory
Externí odkaz:
http://arxiv.org/abs/2312.17372
Autor:
Dickinson, Jennet, Kovach-Fuentes, Rachel, Gray, Lindsey, Swartz, Morris, Di Guglielmo, Giuseppe, Bean, Alice, Berry, Doug, Valentin, Manuel Blanco, DiPetrillo, Karri, Fahim, Farah, Hirschauer, James, Kulkarni, Shruti R., Lipton, Ron, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Pradhan, Gauri, Syal, Chinar, Tran, Nhan, Wen, Dahai, Yoo, Jieun, Young, Aaron
The combinatorics of track seeding has long been a computational bottleneck for triggering and offline computing in High Energy Physics (HEP), and remains so for the HL-LHC. Next-generation pixel sensors will be sufficiently fine-grained to determine
Externí odkaz:
http://arxiv.org/abs/2312.11676