RadCluster
Graph-based cluster dynamics for irradiated materials
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Namespaces | Functions | Variables
sweep_loop100_and_network.py File Reference

Go to the source code of this file.

Namespaces

namespace  sweep_loop100_and_network
 

Functions

 sweep_loop100_and_network.run_one (T_C, t_end, n_points, I=1000, V=1000, i_mobile=20, v_mobile=5, rtol=1e-5, network_loss=True, conversion=True)
 
 sweep_loop100_and_network.run_conv (T_C, t_end=3e6, n_points=60, I=200, i_mobile=10, v_mobile=3, rtol=3e-3, timeout_s=4500, progress_path=None)
 
 sweep_loop100_and_network.summarize (T_C, r)
 

Variables

 sweep_loop100_and_network.ROOT = Path(__file__).resolve().parents[2]
 
 sweep_loop100_and_network.encoding
 
float sweep_loop100_and_network.T_STAR_CONV = 250.0
 
float sweep_loop100_and_network.E_A0_CONV = 1.6
 
float sweep_loop100_and_network.GAMMA_A_CONV = 0.02
 
 sweep_loop100_and_network.DH2_CONV = None
 
 sweep_loop100_and_network.PHI_MAX_JUNC = None
 
float sweep_loop100_and_network.RHO_D0 = 5.0e13
 
float sweep_loop100_and_network.RHO_MAX = 5.0e14
 
float sweep_loop100_and_network.LOOP_NET_WC = 3.72e-8
 
float sweep_loop100_and_network.LOOP_NET_KREC = 0.0
 
float sweep_loop100_and_network.LOOP_NET_CHI = 50.0
 
int sweep_loop100_and_network.LOOP_NET_NINC = 10
 
 sweep_loop100_and_network.ap = argparse.ArgumentParser()
 
 sweep_loop100_and_network.action
 
 sweep_loop100_and_network.help
 
 sweep_loop100_and_network.type
 
 sweep_loop100_and_network.float
 
 sweep_loop100_and_network.default
 
 sweep_loop100_and_network.str
 
 sweep_loop100_and_network.args = ap.parse_args()
 
tuple sweep_loop100_and_network.temps
 
 sweep_loop100_and_network.flush
 
list sweep_loop100_and_network.rows = []
 
 sweep_loop100_and_network.t0 = time.perf_counter()
 
dict sweep_loop100_and_network._kw = {}
 
 sweep_loop100_and_network.r = run_conv(T_C, progress_path=args.progress, **_kw)
 
 sweep_loop100_and_network.dt = time.perf_counter() - t0
 
 sweep_loop100_and_network.f111 = float(np.asarray(r["f_111_loop"])[-1])
 
 sweep_loop100_and_network.dose = float(np.asarray(r["dose"])[-1])
 
 sweep_loop100_and_network.t_end
 
 sweep_loop100_and_network.n_points
 
 sweep_loop100_and_network.I
 
 sweep_loop100_and_network.row = summarize(T_C, r)