Citation notice #4886 · 2026-07-11 03:19:08.722131+00:00

Co-Design Optimization for Data Center Cooling System via Digital Twin

cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python, which carries a correction notice dated 2020-03-04. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes

01Evidence

Raw extraction · bibliography line · bibliography index 28

Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Courna- peau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S.J., etal., 2020, “SciPy1.0: FundamentalAlgorithmsforScientificComputing inPython,” NatureMethods,17, pp.261–272, doi:10.1038/s41592-019-0686-2. 11 List of Figures 1 Three-layer optimization framework for the Frontier cooling system. Layer 1 selects the integer partition of CDUs into subloops, Layer 2 optimizes the continuous flow fractions, and Layer 3 co-optimizes the total flow rate and supply temperature setpoint at each timestep. Strategy variants A, B, and C are defined as progressively richer instances of the framework. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2 Strategy C savings as a function of the number of subloops (𝐾) under (a) balanced and (b) worst-case CDU assignment. The star marker denotes the current Frontier design(14,6,5). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3 Comparison of Strategies A, B, and C (best partition per𝐾, balanced assignment). Error bars span the range across all partitions within each𝐾

02Event

Type

Correction

Source

Crossref

Original DOI

10.1038/s41592-019-0686-2

Notice DOI

10.1038/s41592-020-0772-5

Date

2020-03-04

Title

Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python

Reasons

['Correction']

Work

SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python (2020) Nature Methods

Schema constants (for re-runners): correction · crossref

03Dispute this notice

If this citation does not depend on the flagged claim, or the event is wrong, say so. Disputes are public. For a signed challenge against the paper itself, use the formal challenge form.