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  1. Abstract β -Ga 2 O 3 metal–semiconductor field-effect transistors are realized with superior reverse breakdown voltages ( V BR ) and ON currents ( I DMAX ). A sandwiched SiN x dielectric field plate design is utilized that prevents etching-related damage in the active region and a deep mesa-etching was used to reduce reverse leakage. The device with L GD = 34.5 μ m exhibits an I DMAX of 56 mA mm −1 , a high I ON / I OFF ratio >10 8 and a very low reverse leakage until catastrophic breakdown at ∼4.4 kV. A power figure of merit (PFOM) of 132 MW cm −2 was calculated for a V BR of ∼4.4 kV. The reported results are the first >4 kV class Ga 2 O 3 transistors to surpass the theoretical unipolar FOM of silicon. 
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    Automated techniques for analyzing floating-point code for roundoff error as well as control-flow instability are of growing importance. It is important to compute rigorous estimates of roundoff error, as well as determine the extent of control-flow instability due to roundoff error flowing into conditional statements. Currently available analysis techniques are either non-rigorous or do not produce tight roundoff error bounds in many practical situations. Our approach embodied in a new tool called \seesaw employs {\em symbolic reverse-mode automatic differentiation}, smoothly handling conditionals, and offering tight error bounds. Key steps in \seesaw include weakening conditionals to accommodate roundoff error, computing a symbolic error function that depends on program paths taken, and optimizing this function whose domain may be non-rectangular by paving it with a rectangle-based cover. Our benchmarks cover many practical examples for which such rigorous analysis has hitherto not been applied, or has yielded inferior results. 
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  4. null ; null (Ed.)
    Automated techniques for analyzing floating-point code for roundoff error as well as control-flow instability are of growing importance. It is important to compute rigorous estimates of roundoff error, as well as determine the extent of control-flow instability due to roundoff error flowing into conditional statements. Currently available analysis techniques are either non-rigorous or do not produce tight roundoff error bounds in many practical situations. Our approach embodied in a new tool called \seesaw employs {\em symbolic reverse-mode automatic differentiation}, smoothly handling conditionals, and offering tight error bounds. Key steps in \seesaw include weakening conditionals to accommodate roundoff error, computing a symbolic error function that depends on program paths taken, and optimizing this function whose domain may be non-rectangular by paving it with a rectangle-based cover. Our benchmarks cover many practical examples for which such rigorous analysis has hitherto not been applied, or has yielded inferior results. 
    more » « less