-
作者:Cohen, Jon
-
作者:Thorp, H. Holden
-
作者:Aluru, Narayana R.; Darling, Seth B.; Elam, Jeffrey W.; Gang, Oleg; Salleo, Alberto; Siwy, Zuzanna; Talin, A. Alec; Noy, Aleksandr
作者单位:University of Texas System; University of Texas Austin; United States Department of Energy (DOE); Argonne National Laboratory; University of Chicago; United States Department of Energy (DOE); Argonne National Laboratory; Columbia University; Columbia University; United States Department of Energy (DOE); Brookhaven National Laboratory; United States Department of Energy (DOE); Stanford University; SLAC National Accelerator Laboratory; Stanford University; University of California System; University of California Irvine; United States Department of Energy (DOE); Sandia National Laboratories; United States Department of Energy (DOE); Lawrence Livermore National Laboratory; University of California System; University of California Merced
摘要:Neuromorphic ionic computing is inspired by the brain's use of ions for ultralow-energy computation-its massive parallelism, adaptability, and learning capabilities. This emerging paradigm can overcome limitations of conventional silicon-based computing by enabling colocated memory and processing, multicarrier information streams, and massive three-dimensional connectivity. However, substantial knowledge gaps remain in understanding and engineering ionic transport, energy dissipation, material...
-
作者:Cohen, Jon
-
作者:Buller, Rebecca; Pelletier, Joelle N.
作者单位:University of Bern; Universite de Montreal
-
作者:Liu, Mingqi; Wang, Binhao; Guvercin, Sezim E.; Li, Zhen; Wang, Teng; Liu, Chuanjin; Ji, Lingyun; Barbot, Sylvain
作者单位:University of Southern California; Peking University; China Earthquake Administration; The Second Monitoring & Application Center, CEA; Centre National de la Recherche Scientifique (CNRS); Universite PSL; Ecole Normale Superieure (ENS); California Institute of Technology; China Earthquake Administration; Institute of Geology, CEA
摘要:The structurally simple Sagaing fault, which ruptured during the 2025 moment magnitude 7.7 Mandalay earthquake, exhibits clear dynamic segmentation despite lacking major geometric complexities. Using physics-based seismic cycle simulations, we tested the hypothesis that dynamic segmentation on the Sagaing fault is influenced by a northward increase in long-term slip rates from 18 to 28 millimeter/year. Models incorporating geodetically constrained long-term slip rates reproduced the rupture ex...
-
作者:Wang, Hui; Liu, Peng; Feng, Lijuan; Wang, Ning
作者单位:Hainan University
-
作者:Zhou, Li; May, James H.; Gowda, Ravikumar R.; Hamernik, Levi J.; Kenny, Jacob K.; Wang, Lili; Stubbs, Christopher D.; Quinn, Ethan C.; DesVeaux, Jason S.; Knauer, Katrina M.; Beckham, Gregg T.; Chen, Eugene Y. -X.
作者单位:Colorado State University System; Colorado State University Fort Collins; Chinese Academy of Sciences; Shanghai Institute of Organic Chemistry, CAS; California Institute of Technology
摘要:Recyclable polymers that can be produced at scale and readily tuned within the same polymer framework for specific properties are critical to achieving a circular materials economy. To this end, synthetic poly(3-hydroxyalkanoate)s (PHAs) have emerged as high-performance, chemically recyclable variants of biological PHAs, but their difficult monomer syntheses and suboptimal recycling efficiencies pose challenges for large-scale deployment. In this study, we investigated a beta-isopropylidene PH...
-
作者:Hia, Fabian; Wu, Yitong; Yoshinaga, Masanori; Goto-Ito, Sakurako; Iwasaki, Wakana; Imami, Koshi; Toh, Hirotaka; Han, Peixun; Cai, Ting; Ohira, Takayuki; Fukao, Akira; Standley, Daron M.; Shichino, Yuichi; Takegawa, Masaki; Fujiwara, Toshinobu; Suzuki, Tsutomu; Iwasaki, Shintaro; Bassik, Michael C.; Ito, Takuhiro; Takeuchi, Osamu
作者单位:Kyoto University; RIKEN; RIKEN; RIKEN; RIKEN; RIKEN; University of Tokyo; Kindai University (Kinki University); University of Osaka; University of Tsukuba; University of Tokyo; Stanford University; Stanford Medicine; RIKEN
-
作者:Tran, Vincent Q.; Nemeth, Matthew; Bartie, Liam J.; Chandrasekaran, Sita S.; Fanton, Alison; Moon, Hyungseok C.; Hie, Brian L.; Konermann, Silvana; Hsu, Patrick D.
作者单位:University of California System; University of California Berkeley; University of California System; University of California Berkeley; University of California System; University of California Berkeley; Stanford University; Stanford University; Stanford University; Stanford Medicine; University of California System; University of California Berkeley
摘要:Protein engineering is limited by the inefficient search through a high-dimensional sequence space to find combinations of synergistic mutations. Traditional approaches use stepwise mutation stacking, whereas machine learning methods require extensive datasets or multiple experimental rounds and are bottlenecked by costly, length-limited gene synthesis. We present MULTI-evolve (where MULTI stands for model-guided, universal, targeted installation of multimutants), a rapid evolution framework t...