Refine Search

New Search

Results: 831,751

(searched for: publisher_id:181)
Save to Scifeed
Page of 16,636
Articles per Page
by
Show export options
  Select all
Anashe Bandari
Published: 11 June 2021
Scilight, Volume 2021; doi:10.1063/10.0005220

The publisher has not yet granted permission to display this abstract.
Shubhodeep Paul, Hyejin Moon
Default Digital Object Group, Volume 15; doi:10.1063/5.0054003.2

The publisher has not yet granted permission to display this abstract.
, Zihan Tong, Yuzan Xiong, Weigang Wang, Qiming Shao
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0054356

The publisher has not yet granted permission to display this abstract.
Xiao Dai, Xiangying Hao, , Chen Peng, Chunling Ding
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0050488

The publisher has not yet granted permission to display this abstract.
V. J. S. Oldenkotte, F. J. Witmans, M. H. Siekman, P. L. de Boeij, , C. Castenmiller, M. D. Ackermann, ,
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0051403

The publisher has not yet granted permission to display this abstract.
Bastien Guigue, Paul Loubeyre
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0056400

The publisher has not yet granted permission to display this abstract.
Yixin Xu, Rami Yazbeck,
The Journal of Chemical Physics, Volume 154; doi:10.1063/5.0046086

The publisher has not yet granted permission to display this abstract.
P. Priyadarshini, D. Sahoo, D. Alagarasan, R. Ganesan, S. Varadharajaperumal,
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0048852

The publisher has not yet granted permission to display this abstract.
Y. H. Kim, N. Hur
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0052975

The publisher has not yet granted permission to display this abstract.
, , Fabian Wermelinger, , Fotis Sotiropoulos
Published: 8 June 2021
Physics of Fluids, Volume 33; doi:10.1063/5.0054204

The publisher has not yet granted permission to display this abstract.
Bo Zhang, Yunzhuo Wu, Xiaoxue Zeng, Yonghai Guo, Bo Wang, Jiangwei Cao
Default Digital Object Group, Volume 129; doi:10.1063/5.0049928.2

The publisher has not yet granted permission to display this abstract.
Guillermo Nava Antonio, Iacopo Bertelli, Brecht G. Simon, Rajasekhar Medapalli, ,
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0051791

The publisher has not yet granted permission to display this abstract.
Alex Krotz, Justin Provazza,
The Journal of Chemical Physics, Volume 154; doi:10.1063/5.0053177

The publisher has not yet granted permission to display this abstract.
A. Lorenzo Mariano,
The Journal of Chemical Physics, Volume 154; doi:10.1063/5.0048597

The publisher has not yet granted permission to display this abstract.
Anthony Y. Fong, Lenson Pellouchoud, Malcolm Davidson, Richard C. Walroth, Carena Church, Ekaterina Tcareva, Liheng Wu, Kyle Peterson, Bryce Meredig, Christopher J. Tassone
The Journal of Chemical Physics, Volume 154; doi:10.1063/5.0047385

Abstract:
Machine learning techniques are seeing increased usage for predicting new materials with targeted properties. However, widespread adoption of these techniques is hindered by the relatively greater experimental efforts required to test the predictions. Furthermore, because failed synthesis pathways are rarely communicated, it is difficult to find prior datasets that are sufficient for modeling. This work presents a closed-loop machine learning-based strategy for colloidal synthesis of nanoparticles, assuming no prior knowledge of the synthetic process, in order to show that synthetic discovery can be accelerated despite limited data availability.
Bo Zhang, Yunzhuo Wu, Xiaoxue Zeng, Yonghai Guo, Bo Wang,
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0049928

The publisher has not yet granted permission to display this abstract.
Krishan Chand, Mukesh Sharma, Arnab Kr. De
Default Digital Object Group, Volume 33; doi:10.1063/5.0053522.1

The publisher has not yet granted permission to display this abstract.
, , , Alexander Ruder, Matthew Hilfiker, , , Yuxuan Zhang, Hongping Zhao, , et al.
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0052848

The publisher has not yet granted permission to display this abstract.
M. Sato, ,
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0050665

The publisher has not yet granted permission to display this abstract.
Shubhodeep Paul, Hyejin Moon
Default Digital Object Group, Volume 15; doi:10.1063/5.0054003.1

The publisher has not yet granted permission to display this abstract.
Jiajie Ying, Yan Liang, , Herbert Ho-Ching Iu, Jian Zhang, Peipei Jin
Chaos: An Interdisciplinary Journal of Nonlinear Science, Volume 31; doi:10.1063/5.0048526

The publisher has not yet granted permission to display this abstract.
Edwin De Jong, Réan Kremer, Ling Liu, ,
Published: 8 June 2021
Physics of Fluids, Volume 33; doi:10.1063/5.0050864

The publisher has not yet granted permission to display this abstract.
Krishan Chand, Mukesh Sharma,
Published: 8 June 2021
Physics of Fluids, Volume 33; doi:10.1063/5.0053522

The publisher has not yet granted permission to display this abstract.
, Jiancai Zhao, Guiling Fu, Zongqian Shi
Published: 8 June 2021
Physics of Plasmas, Volume 28; doi:10.1063/5.0044729

The publisher has not yet granted permission to display this abstract.
Zhenyu Ouyang, Ninghao Zhou, Meredith G. McNamee, Liang Yan, Olivia F. Williams, ,
The Journal of Chemical Physics, Volume 154; doi:10.1063/5.0047382

The publisher has not yet granted permission to display this abstract.
, Brian Vincent
The Journal of Chemical Physics, Volume 154; doi:10.1063/5.0052306

The publisher has not yet granted permission to display this abstract.
, Yi-Chun Lin,
The Journal of Chemical Physics, Volume 154; doi:10.1063/5.0048232

The publisher has not yet granted permission to display this abstract.
Sambunath Das, , S. Ramasesha,
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0048811

The publisher has not yet granted permission to display this abstract.
Bo Zhang, Yunzhuo Wu, Xiaoxue Zeng, Yonghai Guo, Bo Wang, Jiangwei Cao
Default Digital Object Group, Volume 129; doi:10.1063/5.0049928.1

The publisher has not yet granted permission to display this abstract.
M. Bacal, M. Sasao,
Published: 8 June 2021
Journal of Applied Physics, Volume 129; doi:10.1063/5.0049289

The publisher has not yet granted permission to display this abstract.
Xuewei Deng, Xiaoxia Huang, Deen Wang, Ying Yang, Xin Zhang, Dongxia Hu
Matter and Radiation at Extremes, Volume 6; doi:10.1063/5.0050961

Abstract:
We propose a method for retrieving a beam wavefront from its near-field intensity distribution after a 4f system by simply inserting a benchmark at the Fourier plane. Through a convolution of the mark-blocked spatial frequency component and the original optical field with the 4f system, the separation between the focus of any sub-aperture and the benchmark can be determined to reconstruct the beam wavefront. Theoretical and experimental studies demonstrate the validity of this method, which has potential applications in real-time wavefront sensing.
N. Nissim, , M. Werdiger, Y. Horowitz, L. Bakshi, Y. Ferber, B. Glam, A. Fedotov-Gefen, L. Perelmutter,
Matter and Radiation at Extremes, Volume 6; doi:10.1063/5.0046884

Abstract:
We present a novel photonic Doppler velocimetry (PDV) design for laser-driven shock-wave experiments. This PDV design is intended to provide the capability of measuring the free-surface velocity of shocked opaque materials in the terapascal range. We present measurements of the free-surface velocity of gold for as long as ∼2 ns from the shock breakout, at pressures of up to ∼7 Mbar and a free-surface velocity of 7.3 km/s with an error of ∼1.5%. Such laboratory pressure conditions are achieved predominantly at high-intensity laser facilities where the only velocity diagnostic is usually line-imaging velocity interferometry for any reflector. However, that diagnostic is limited by the lower dynamic range of the streak camera (at a temporal resolution relevant to laser shock experiments) to measure the free-surface velocity of opaque materials up to pressures of only ∼1 Mbar. We expect the proposed PDV design to allow the free-surface velocity of opaque materials to be measured at much higher pressures.
Jing Liang, Changzhong Jiang,
Published: 8 June 2021
Applied Physics Reviews, Volume 8; doi:10.1063/5.0048446

Abstract:
Flexible supercapacitors (FSCs) have attracted extensive attention due to their lightweight, easy integration, high power density, fast charge/discharge rate, and safe features. Printed FSC has provided an economical and simple solution for the fabrication of FSCs different from the traditional manufacturing methods. The successful preparation of printed FSCs mainly depends on the formulating of functional inks and designing of innovative electrode materials. Here, we reviewed the recent development of the ink's formulation principle, printable electrode materials, and integrated application of FSCs devices. The inks with excellent rheological properties, acquired by tuning the components (including binders, additives and solvents), are first introduced to match different printing techniques. The design of printable electrode materials is also highlighted, focusing on electrical double-layer capacitive carbons, pseudocapacitive materials (metal oxides, conducting polymer, etc.), and the newly emerging materials (MXenes, etc.). We concluded that 3D printing and new printable electrode materials will be key in successfully designing next-generation printed FSC with high energy and high power, and thus offer general guidelines to its integrated applications.
P. F. Yu, M. Xia, S. C. Cao, L. Zeng, W. Q. Lu, J. G. Li
Published: 7 June 2021
Applied Physics Letters, Volume 118; doi:10.1063/5.0049043

The publisher has not yet granted permission to display this abstract.
Madeleine P. Gordon, Shawn A. Gregory, Jamie P. Wooding, Shuyang Ye, Gregory M. Su, Dwight S. Seferos, , , , Akanksha K. Menon
Published: 7 June 2021
Applied Physics Letters, Volume 118; doi:10.1063/5.0052604

The publisher has not yet granted permission to display this abstract.
, B. Allen, T. Dannert, M. Hrywniak, J. Donaghy, , S. Ethier, E. D'Azevedo, , A. Bhattacharjee
Published: 7 June 2021
Physics of Plasmas, Volume 28; doi:10.1063/5.0046327

The publisher has not yet granted permission to display this abstract.
Published: 7 June 2021
Physics Today, Volume 2021; doi:10.1063/pt.6.4o.20210607b

The publisher has not yet granted permission to display this abstract.
Henryk Laqua, Jörg Kussmann,
The Journal of Chemical Physics, Volume 154; doi:10.1063/5.0045084

Abstract:
We investigate the applicability of single-precision (fp32) floating point operations within our linear-scaling, seminumerical exchange method sn-LinK [Laqua et al., J. Chem. Theory Comput. 16, 1456 (2020)] and find that the vast majority of the three-center-one-electron (3c1e) integrals can be computed with reduced numerical precision with virtually no loss in overall accuracy. This leads to a near doubling in performance on central processing units (CPUs) compared to pure fp64 evaluation. Since the cost of evaluating the 3c1e integrals is less significant on graphic processing units (GPUs) compared to CPU, the performance gains from accelerating 3c1e integrals alone is less impressive on GPUs. Therefore, we also investigate the possibility of employing only fp32 operations to evaluate the exchange matrix within the self-consistent-field (SCF) followed by an accurate one-shot evaluation of the exchange energy using mixed fp32/fp64 precision. This still provides very accurate (1.8 µEh maximal error) results while providing a sevenfold speedup on a typical “gaming” GPU (GTX 1080Ti). We also propose the use of incremental exchange-builds to further reduce these errors. The proposed SCF scheme (i-sn-LinK) requires only one mixed-precision exchange matrix calculation, while all other exchange-matrix builds are performed with only fp32 operations. Compared to pure fp64 evaluation, this leads to 4–7× speedups for the whole SCF procedure without any significant deterioration of the results or the convergence behavior.
, Andreas Buchleitner,
The Journal of Chemical Physics, Volume 154; doi:10.1063/5.0049863

Abstract:
We investigate optimal states of photon pairs to excite a target transition in a multilevel quantum system. With the help of coherent control theory for two-photon absorption with quantum light, we infer the maximal population achievable by optimal entangled vs separable states of light. Interference between excitation pathways as well as the presence of nearby states may hamper the selective excitation of a particular target state, but we show that quantum correlations can help to overcome this problem and enhance the achievable “selectivity” between two energy levels, i.e., the relative difference in population transferred into each of them. We find that the added value of optimal entangled states of light increases with broadening linewidths of the target states.
Lluís Arola-Fernández, Per Sebastian Skardal,
Chaos: An Interdisciplinary Journal of Nonlinear Science, Volume 31; doi:10.1063/5.0053837

The publisher has not yet granted permission to display this abstract.
Kiran Jadhav,
Published: 7 June 2021
Physics of Fluids, Volume 33; doi:10.1063/5.0051476

The publisher has not yet granted permission to display this abstract.
Published: 7 June 2021
Chemical Physics Reviews, Volume 2; doi:10.1063/5.0051254

The publisher has not yet granted permission to display this abstract.
Q. Hu, X. Liu, Z. Xu, X. Wei
Default Digital Object Group, Volume 118; doi:10.1063/5.0055127.1

The publisher has not yet granted permission to display this abstract.
Published: 7 June 2021
Physics Today, Volume 2021; doi:10.1063/pt.6.4.20210607a

The publisher has not yet granted permission to display this abstract.
Page of 16,636
Articles per Page
by
Show export options
  Select all
Back to Top Top