We describe how, through a DOE Grand Challenge in computational accelerator physics, simulation capability has increased 1000-fold in terms of problem size and speed of execution compared with what was possible a decade ago.The Physics Of High Brightness Beams...
Moment method as a numerical solver: Challenge from shock structure problems Zhenning Cai Article 110593 select article An EIM-degradation free reduced basis method via over collocation and residual hyper reduction-based error estimation Research articleAbstract only ...
Physics-based modeling in the new era of enzyme engineering This Perspective highlights the vital role of physics-based modeling in computational enzyme engineering, exploring key advances, challenges and future steps. By integrating machine learning, these approaches can enhance each other, unlocking ...
Today’s high-performance computing systems are nearing an ability to simulate the human brain at scale. This presents a new challenge: going forward, will the bigger challenge be the brain’s size or its complexity? Felix Wang James B. Aimone ...
(computational physics, computational biology, computational chemistry, etc.) where it often bridges computer science, mathematics and domain-specific knowledge. It calls for the use of somecomputational approachthat may also require the design of the supporting computational system or the use of an ...
physics as it provides “a rich map for charting larger transformations in the training of theoretical physicists during the decades after World War II” [3, p. xii]. This work remarkably expanded our understanding of the pivotal role Feynman graphs currently hold in high-energy physics. However...
Theoretical and computational studies of dendrimers as delivery vectors It is a great challenge for nanomedicine to develop novel dendrimers with maximum therapeutic potential and minimum side-effects for drug and gene delivery... Tian, W. d.,Ma, Y. q. - 《Chemical Society Reviews》...
High heat flux thermal management is an important challenge for upcoming nuclear fusion and plasma physics experiments. The plasma facing components (PFCs) in devices such as ITER or Wendelstein 7-X (W7-X) will be subjected to extreme heat loads on the order of 10-20 MW/m2 in the divertor...
Another challenge in computer-generated holography is the requirement for highly coherent light. This often necessitates the use of large and expensive light sources, which also can potentially be invasive to the eyes. We address this problem by introducing spatiotemporally incoherent light to computer...
A key challenge in the effort to simulate today’s quantum computing devices is the ability to learn and encode the complex correlations that occur between qubits. Emerging technologies based on language models adopted from machine learning have shown unique abilities to learn quantum states. We hig...